565results about How to "Strong anti-noise ability" patented technology

A digital television (DTV) transmitter and a method of processing data in the DTV transmitter / receiver are disclosed. In the DTV transmitter, a pre-processor pre-processes the enhanced data by coding the enhanced data for forward error correction (FEC) and expanding the FEC-coded data. A packet formatter generates one or more groups of enhanced data packets, each enhanced data packet including the pre-processed enhanced data and known data, wherein the data formatter adds burst time information into each group of enhanced data packets. And, a packet multiplexer generates at least one burst of enhanced data by multiplexing the one or more groups of enhanced data packets with at least one main data packet including the main data, each burst of enhanced data including at least one group of enhanced data packets.

The invention relates to a point cloud automatic registration method based on normal vector. According to the method, processing objects are two or more than two pieces of three-dimensional point cloud data, wherein overlapped part exists every two pieces of adjacent three-dimensional point cloud data. The method comprises the following processing steps that (1) feature points are selected according to the point cloud local normal vector changes; (2) the histogram feature quantity is designed for carrying out feature description on each obtained feature point; (3) the initial matching dot pair is obtained through comparing the histogram feature vector of the feature points; (4) the precise matching dot pair is obtained through applying the rigid distance constraint condition and combining a RANSAC (random sample consensus) algorithm, and in addition, the initial registration parameters are obtained through calculation by using a four-element method; and (5) an improved ICP (iterative closest point)) algorithm is adopted for carrying out point cloud precise registration. The point cloud can be automatically registered according to the steps. The method has the advantages that feature description is simple, identification degree is high, higher robustness is realized, and registration precision and speed are improved to a certain degree.

The invention relates to a rolling bearing fault diagnosis method based on variation mode decomposition and permutation entropy. Vibration signals are decomposed with a variation mode decomposition method, so that reactive components and mode aliasing are effectively reduced, all the mode components include characteristic information of different time scales of original signals, and effective multi-scale components are provided for subsequent signal characteristic extraction. With the combination of the features that permutation entropy is simple in calculation, high in noise resisting ability and the like, bearing fault characteristics of all the mode components are extracted from multi-scale angles. Compared with single permutation entropy analysis of rolling bearing vibration, the characteristic information of the signals can be more comprehensively represented through the permutation entropy characteristic extracting method based on multiple scales, the recognition accuracy of a support vector machine is improved, and fault diagnosis of rolling bearings is better achieved.

The present invention relates to a small current grounding system fault line selecting method by wavelet package decomposition and relevant analysis, belonging to the power system relay protection technical field. The method comprises: starting the fault line selecting device and recording wave to acquire transient zero-order current on each of the feeder lines when bus zero-order voltage transient value exceeds limit; calculating energy on each of frequency bands of the transient zero-order current after wavelet package decomposition, summing the energy of transient zero-order current on all the lines according to frequency bands and selecting the frequency bands with the maximum and secondary value of energy and values as the characteristic frequency bands, applying relevant analysis method to line transient zero-order current on the selected characteristic frequency bands in order; and finally determining fault point integrating the relevant analysis results of two frequency bands. The method uses wavelet package decomposition and relevant analysis, thereby effectively using information (amplitude and phase) contained in fault transient process and reflecting differences between fault line and non-fault line to maximum degree. Principle analysis and simulations demonstrate that the method has precise and reliable line selection.

A digital television (DTV) transmitter / receiver and a method of processing data in the DTV transmitter / receiver are disclosed. In the DTV transmitter, a pre-processor pre-processes the enhanced data by coding the enhanced data for forward error correction (FEC) and expanding the FEC-coded enhanced data. A data formatter generates enhanced data packets including the pre-processed enhanced data and inserts known data to at least one of the enhanced data packets. A first multiplexer multiplexes the enhanced data packets with main data packets including the main data. And, an RS encoder RS-codes the multiplexed main and enhanced data packets, the RS encoder adding systematic parity data to each main data packet and adding RS parity place holders to each enhanced data packet. Herein, the RS encoder may insert non-systematic RS parity data or null data into the RS parity place holders included in each enhanced data packet.

The invention discloses a 3D terrain imaging system of the interferometric synthetic aperture radar (InSAR) and an elevation mapping method thereof, which mainly solve the problems that the existing InSAR has bad imaging pragmaticality and can not implement 3D elevation mapping on the fast-changing terrain and the transilient terrain. The system comprises three sub-aperture antennas, a radar transmitter, a radar receiver and an imaging data processor; the imaging signal processor comprises a SAR image processing unit and an InSAR image processing unit. The invention receives radar echo through the three sub-apertures, then conducts SAR imaging process on the radar echo respectively received by the three sub-apertures, and then conducts InSAR imaging process on the obtained SAR complex pattern, wherein the InSAR imaging process comprises image registration, phase filtering and phase unfolding based on cluster analysis. The processed InSAR phase unfolded image is processed with an elevation inversion to recover a three dimensional digital elevation map. The invention has the advantages of wide adaptability to mapped terrains, and high imaging effectiveness, therefore, the invention can be used in the mapping of the 3D terrain.

The invention belongs to an electric energy quality monitoring technology, particularly a ship electric energy quality monitoring system. The system comprises a data analysis evaluation subsystem and data acquisition processing subsystems distributed on each node. The data acquisition processing subsystems are used for acquiring three-phase voltage and current signals of a ship power grid in real time and providing the three-phase voltage and current signals for the data analysis evaluation subsystem by the Ethernet; the data analysis evaluation subsystem is used for completing calculation of steady-state electric energy quality indexes in an on-line mode and giving an electric energy quality comprehensive evaluation according to an index weight; the detection of transient-state electric energy quality perturbation parameters is completed in an off-time mode; the steady-state electric energy quality indexes comprise a voltage deviation, a frequency deviation, harmonic waves, three-phase unbalance, voltage fluctuation and flicker; and the transient-state electric energy quality perturbation parameters comprise short duration voltage variation, time varying harmonic waves and inter-harmonics. According to the system, all the nodes on the power grid can be simultaneously monitored, the factors influencing the electric energy quality can be analyzed by a plurality of indexes and the level of the electric energy quality of the power grid is timely known.

The invention relates to a multi-scale normal feature point cloud registering method. The multi-scale normal feature point cloud registering method is characterized by including the steps that two-visual-angle point clouds, including the target point clouds and the source point clouds, collected by a point cloud obtaining device are read in; the curvature of radius neighborhoods of three scales of points is calculated, and key points are extracted from the target point clouds and the source point clouds according to a target function; the normal vector angular deviation and the curvature of the key points in the radius neighborhoods of the different scales are calculated and serve as feature components, feature descriptors of the key points are formed, and a target point cloud key point feature vector set and a source point cloud key point feature vector set are accordingly obtained; according to the similarity level of the feature descriptors of the key points, the corresponding relations between the target point cloud key points and the source point cloud key points are preliminarily determined; the wrong corresponding relations are eliminated, and the accurate corresponding relations are obtained; the obtained accurate corresponding relations are simplified with the clustering method, and the evenly-distributed corresponding relations are obtained; singular value decomposition is carried out on the final corresponding relations to obtain a rigid body transformation matrix.

The invention provides a fault route-selecting method by using small current grounding system simulated by measured zero-mode current. The method includes following steps: when a generatrix zero-mode voltage instantaneous value is over the limit, a fault route-selecting is started and recorded immediately; zero-phase shift digital wave filter is used to obtain a high-frequency transient weight of each feed line zero-mode current; orderly the feed line is supposed to be fault feed line, the rest of the high-frequency transient weight of the feed line zero-mode current is quantificationally solved by using the measured simulative method according to the supposed high-frequency transient weight of the feed line zero-mode current and each feed line zero-order distributing capacitance parameter; the actual-measured wave shape and simulative wave shape of the high-frequency transient weight of the feed line zero-mode current are analyzed and a average relative coefficient of the actual-measured wave shape and simulative wave shape of the high-frequency transient weight of the feed line zero-mode current are solved, the route-selecting criterion is formed to achieve the fault route selection. The principle analysis and simulation indicate that route selection of this method is accurate and reliable.

The invention discloses a non-rigid heart image grading and registering method based on an optical flow field model, which belongs to the technical field of image processing. The method comprises the following steps of: obtaining an affine transformation coefficient through the scale invariant characteristic vectors of two images, and obtained a rough registration image through affine transformation; and obtaining bias transformation of the rough registration image by using an optical flow field method, and interpolating to obtain a fine registration image. In the non-rigid heart image grading and registering method, an SIFT (Scale Invariant Feature Transform) characteristic method and an optical flow field method are complementary to each other, the SIFT characteristic is used for making preparations for increasing the converging speed of the optical flow field method, and the registration result is more accurate through the optical flow field method; and the characteristic details of a heart image are better kept, higher anti-noising capability and robustness are achieved, and an accurate registration result is obtained. Due to the adopted difference value method, a linear difference value and a central difference are combined, and final registration is realized by adopting a multi-resolution strategy in the method simultaneously.

The invention relates to a measuring post simulation method of the fault wire selection for a low current grounding system. The invention belongs to the technical field of the power system relay protection. The method is realized by that when the instantaneous value of the voltage of a bus zero exceeds the limit, a fault wire selection device is started immediately and used for recording the wave. The invention adopts a digital filter algorithm to obtain the bus zero voltage and the transient pure fault components of zero current on each feedback line. When a low current grounding system takes place a single-phase earth fault, the waveform of the zero current is quantitatively solved by using measuring post simulation according to the transient pure fault component of the measured value of the bus zero voltage and the feeder zero distribution capacitor parameter under the assumption premise of the perfect feeder of every feeder. The invention carries out correlativity analysis to compare the measured waveform of the current of every zero current with the transient pure fault component solved by the measuring simulation method under a definite data window and calculate both correlative coefficients, thereby the invention forms a line selecting criterion 1 and 2 and can carry out line selection to the system according to the line selecting criterion. The principle analysis and the simulation show that the line selection method has the advantages of accuracy and reliability.

The invention discloses an array temperature touch sensing device, which is characterized by adopting microsize negative temperature coefficient (NTC) temperature sensitive devices (such as temperature-measuring type high-precision NTC resistors) to serve as temperature sensitive units. A temperature sensor array distributed cross structure is adopted; the array distribution can be rectangular, round, elliptical, triangular and the like in shape; one end of each temperature measuring resistor in an array is connected with an alignment on which the temperature measuring resistor is located; the other end of each temperature measuring resistor is connected with a line on which the temperature measuring resistor is located; the number of connecting lines required by detecting N*M temperaturesensors is N+M, thereby, the number of the connecting lines for detecting the temperature sensor array can be greatly reduced. A multi-way electronic analogue switch and a feedback driving isolating circuit are adopted to virtually isolate out all the temperature sensitive resistor devices from the array, and the point temperature is accurately measured through the temperature sensitive resistors, and all temperature points on the array are rapidly measured through carrying out high-speed sweep measurement on all the devices in the array one by one. The array temperature touch sensing device is capable of simultaneously and dynamically measuring temperature signals within a certain spatial range and has the characteristics of high temperature measurement precision, high speed, high spatial resolution and good anti-noise jamming performance.

The invention discloses a gesture recognition method based on depth images. The method comprises the following steps: acquiring depth images in a training data set and a test date set by virtue of a depth sensor; calculating the minimal depth values of human body regions in the images, and partitioning gestures in the depth images by use of a depth threshold in combination with a preset condition that a human hand is an object nearest to the sensor; then acquiring projection drawings of the gesture on three orthogonal planes, namely a front-view projection drawing, a side-view projection drawing and a top-view projection drawing; further extracting the outline fragment packet characteristics of the three projection drawings and cascading to form a characteristic vector of the original depth gesture; and finally classifying the gesture characteristic vectors acquired from the depth images to be recognized by virtue of a training classifier, thereby obtaining recognition results of the to-be-recognized gestures. The invention further provides a corresponding gesture recognition system. The method is simple and practical in gesture recognition, high in popularization capability and high in recognition accuracy and can be used for effectively overcoming the influence of adverse factors such as busy background, illumination, noises and self occlusion.

The invention relates to a self-adaptive method for single-phase grounding fault line selection of an electric distribution network by using S transformation energy relative entropy. The method comprises the following steps: when the zero-sequence voltage instantaneous value of a bus is out of limit, starting a fault line selection device immediately; performing S transformation on zero-sequence current in 1 / 4 cycle after the fault of each line, and calculating transient energy under each frequency of the zero-sequence current of each line by using a complex matrix obtained by the S transformation; and calculating the S transformation energy relative entropy under each frequency of each line and solving the comprehensive S transformation energy relative entropy of each line by using the super-strong recognition capability of the relative entropy to slight differences between signals, and self-adaptively selecting out the fault line by comparing the size of the comprehensive S transformation energy relative entropy of each line under all frequencies. Theoretical analyses and a large number of emulations show that the method effectively avoids the influence caused by a CT saturation discontinuous angle on the line selection, and is applicable to the cable-wire mixed line, pure cable lines and pure aerial lines.

A landmark detection apparatus and method, the apparatus including a first detection unit that generates N first sample blocks in a first sampling region using a first weighted sampling method according to a first degree of dispersion, and that performs a first landmark detection by comparing a feature of each first sample block a feature of a landmark model, where the first sample region is set to the entirety of a current frame image; and a second detection unit that generates N second sample blocks in a second sampling region using a second weighted sampling method according to a second degree of dispersion, and that performs a second landmark detection by comparing a feature of each second sample block the feature of the landmark model, where the second sampling region is set to an area less than the entirety of the current frame image.

A precise measuring method for the static image of cutting tool includes such steps as locating the precise coordinate position of the margin of said static image by digital image processing method, calculating the precise geometric parameters of cutting tool, and obtaining the envelope of said cutting tool. Its advantages are high percision and anti-interference power, and high locating correctness.

The invention discloses a bridge detection method and detection system based on vehicle-bridge coupling vibration analysis. The bridge detection method comprises the following steps: obtaining time-variant model parameters and time-invariant model parameters of having or not having vehicle passing through a group of sensors which are arranged on a bridge in the length direction; computing mass-normalized mode coefficients at moments of a bridge structure; resolving an average value of zoom coefficients at all moments; obtaining a mass-normalized mode of the structure; reconstructing a frequency-function matrix of the structure; conducting displacement flexibility identification. According to the invention, the bridge detection method addresses the inconvenience of on-site detection and poor precision of current flexibility detection devices, overcomes the inability of environment vibration to identify deep parameters of the structure and the high difficulty of impact vibration on-site detection. The detection method not only can obtain static deformation of the structure, and can obtain rigidity information of the structure, thus providing effective evaluation of the safety of the bridge structure.

A power source apparatus with a saving in wiring, large noise immunity and an additional function is achieved by connecting AC input bus lines (Vin+), (Vin−), DC output bus lines (Vo+), (Vo−) and a current balance signal bus line (CB) for connecting first, second, third power source units 1, 2, 3 through connectors to form a module power source and connecting an additional function unit 4 for adding a predetermined additional function to the module power source using the bus lines to this module power source through a connector.

The invention discloses a channel estimation method of corpuscle filtration in the radio transmission domain, which comprises the following steps: estimating least square of channel according to known pilot information; getting initial value which is estimated by the pilot channel; installing particle range and particle amount; giving out initial weight of every particle; using likelihood function to calculate likelihood function value of weight value of every particle according to signal which is received by pick-up antenna; normalizating likelihood function value of every particle; getting normalizated weight value of every particle; using Bayes's theory to get probability distribution function value of current channel value; resampling particle according to judgement condition; transforming current particle to next pilot area; getting channel estimated value of all pilot areas; carrying out interpolation algorism; getting channel estimated value of all transmitted data symbol; finishing channel information estimation. The invention has moderate property and strong anti-noise ability.

The invention discloses a cable fault test system and a determining method of a fault point, mainly solving the problems that a field operator requires to walk to and fro at the fault point in the traditional fault positioning and can judge the position of the fault point by listening to the intensity of discharge sound. The determining method comprises the following implementation steps of: quadrangularly distributing four sonic sensors on the ground near the position after measuring the general position of the fault point by using a cable fault intelligent tester for receiving sound wave data of the fault point discharge; distributing an electromagnetic receiver at the test position for receiving electromagnetic wave data of the fault point; and differentiating the data of the four sonic sensors and the electromagnetic wave data to obtain a time value and coordinate values of the four sonic sensors on a horizontal plane and accurately calculating the position of the fault point by using a fault point calculation formula. The invention has the advantage that the position of the fault point can still be accurately judged under the condition that a worker cannot reach the area in which the fault point is positioned and can be used for positioning the faults generated by various cables.

The invention discloses a nonrigid medical image registration method based on self-adapting triangular meshes in the field of image processing technology. In the method, the thought of graded registration is adopted to implement overall registration on a standard image to be registered and a reference image; then the angular points of the images are used to restrain the interested regions of the overall registration image and the reference image to generate irregular triangular meshes, and generate triangular units with smaller shapes and more quantity at places with larger deformation in theinterested region of the image; the triangular meshes generated by the triangular units with larger shapes and less quantity at places with smaller deformation in the interested region of the image are changed according to the changes of the image contents; and finally, the thought of near-rigid registration is used for realizing local accurate registration of the images. The nonrigid medical image registration method based on self-adapting triangular meshes can effectively improve the accuracy of nonrigid medical image registration and enhance the noise resisting capacity of registration.

A vector geographic space data watermarking-method based on integer wavelet transform includes fetching original vector geographic space data from mapping databank, enciphering watermark information with chaos sequence, carrying out integer wavelet transform on coordinate string of said geographic space data and embedding watermark information into low frequency coefficient of wavelet transform; picking up watermark information by comparing wavelet coefficient mutual relation of data string to be tested to original reference data string when watermark is required to be picked up.

The invention provides a motion blurring and defocusing composite blurring image restoration method. By the method, parameter estimation and image restoration can be performed on a motion blurring and defocusing image, and the method comprises the following steps of: (1) establishing a gauss white noise template, and convoluting a degraded image and the white noise template to fulfill the aim of removing noise; (2) estimating a main blurring direction and a secondary blurring direction of the image through an image energy spectrum; (3) calculating a main directional derivative matrix and a secondary directional derivative matrix of the image; (4) performing self-correlation operation and directional accumulation operation on the main directional derivative matrix and the secondary directional derivative matrix respectively; (5) estimating a main direction blurring length and a secondary direction blurring length according to the self-correlated accumulation curve of a main directional derivative and the self-correlated accumulation curve of a secondary directional derivative; (6) establishing a composite blurring model according to the obtained main direction blurring length and secondary direction blurring length; and (7) restoring the degraded image by using wiener filtering.

The invention provides a nonlinear active-disturbance-rejection control method for a vertically rising and falling repeatedly-used carrier. The method comprises the following steps of step 1,attitudecontrol model establishment; step 2,TD tracking differentiator design; step 3,nonlinear expansion state observer design; step 4,nonlinear active-disturbance-rejection controller design; and step 5,nonlinear feedback control law design. The nonlinear active-disturbance-rejection control method for the vertically rising and falling repeatedly-used carrier is provided for the defects of longer attitude response time,weak anti-noise ability,lower attitude control precision and the like of an existing active-disturbance-rejection controller,combines a nonlinear TD tracking differentiator with a finite time convergence characteristic,an expansion state observer with fixed time convergence and a nonlinear feedback control law to form a novel nonlinear active-disturbance-rejection controller,thereby improving the complex external interference rejection ability of a system,and also improving the attitude control precision and response speed.

The invention discloses a model following control-based vibration suppression method for an alternating current servo motor. According to the method, a controlled quantity of a system is input into an ideal control module formed by a model reference adaptive algorithm; an output of the ideal model is supposed to be equal to an actual output; when an actual system is disturbed by the outside, the actual system follows the ideal model and makes a response to the disturbance; and the calculated controlled quantity for counteracting the disturbance is added to the controlled quality of the actual system, so that the targets of stabilizing the system and eliminating the disturbance are achieved. The model following control-based vibration suppression method is essentially a disturbance observer method; compared with a common disturbance observer, a differentiation element does not exist; the model following control-based vibration suppression method is high in noise immunity and simple to achieve; mechanical vibration under a flexible load and a rigid load at different frequencies can be effectively suppressed; and the speed responsiveness of the motor is improved.

A CMOS image sensor includes a substrate including silicon, a silicon germanium (SiGe) epitaxial layer formed over the substrate, the SiGe epitaxial layer formed through epitaxial growth and doped with a predetermined concentration level of impurities, an undoped silicon epitaxial layer formed over the SiGe epitaxial layer by epitaxial growth, and a photodiode region formed from a top surface of the undoped silicon epitaxial layer to a predetermined depth in the SiGe epitaxial layer.

The invention belongs to the technical field of application of computers, and provides a humming music reading method and system based on music note and duration modeling. According to the humming and music reading method and system based on the music note and duration modeling, a music theory gauss mixed model library comprising a music note and music pitch model set and a music note and duration model set is established, model parameter training is carried out on all the models in the music theory gauss mixed model library in advance through a music theory gauss mixed model training unit, and a music theory gauss mixed model library revaluation training unit can be selected to carry out revaluation training on model parameters. When humming music reading is carried out, music pitch characteristic extraction, music theory information decoding recognition, rhythm extraction and music theory processing and conversion are respectively carried out on collected user humming voice, and lastly, a standard music score is output. The humming music reading system is high in recognition rate, good in stability, adaptable to individual singing behavior characteristics and capable of serving as a creation assistant and a backup tool for professional staff and music lovers, and has popularization and application value and industrialization prospects.

The invention discloses a method for identifying a microearthquake event with a low signal-to-noise ratio based on multi-scale permutation entropy. The method is performed by a computer and comprises steps of: processing acquired microearthquake data to convert the microearthquake into time series data, coarse graining a time series to obtain a multi-scale time series, and computing multi-scale time series permutation entropy; training a least squares support vector machine (LS-SVM) on the basis of the multi-scale time series permutation entropy, and identifying a signal to be identified by using the trained LS-SVM. The method may analyze signal features by applying multiple scales and the permutation entropy to the microearthquake signals, accurately expresses the waveform characteristics in multiple dimensions of the microearthquake signals, and is beneficial to discrimination between the microearthquake event and a noise event. The method extracts characteristic data of the microearthquake signals and the noise signals by using the multi-scale permutation entropy, trains the characteristic data by using the LS-SVM to obtain the LS-SVM, and accurately classify the microearthquake event with a low signal-to-noise ratio and the noise event.

A landmark detection apparatus and method, the apparatus including a first detection unit that generates N first sample blocks in a first sampling region using a first weighted sampling method according to a first degree of dispersion, and that performs a first landmark detection by comparing a feature of each first sample block a feature of a landmark model, where the first sample region is set to the entirety of a current frame image; and a second detection unit that generates N second sample blocks in a second sampling region using a second weighted sampling method according to a second degree of dispersion, and that performs a second landmark detection by comparing a feature of each second sample block the feature of the landmark model, where the second sampling region is set to an area less than the entirety of the current frame image.