122 results about "Signal statistics" patented technology

A method for lost speech samples recovery in speech transmission systems is disclosed. The method employs a waveform coder operating on digital speech samples. It exploits the composite model of speech, wherein each speech segment contains both periodic and colored noise components, and separately estimates these two components of the unreliable samples. First, adaptive FIR filters computed from received signal statistics are used to interpolate estimates of the periodic component for the unreliable samples. These FIR filters are inherently stable and typically short, since only strongly correlated elements of the signal corresponding to pitch offset samples are used to compute the estimate. These periodic estimates are also computed for sample times corresponding to reliable samples adjacent to the unreliable sample interval. The differences between these reliable samples and the corresponding periodic estimates are considered as samples of the noise component. These samples, computed both before and after the unreliable sample interval, are extrapolated into the time slot of the unreliable samples with linear prediction techniques. Corresponding periodic and colored noise estimates are then summed. All required statistics and quantities are computed at the receiver, eliminating any need for special processing at the transmitter. Gaps of significant duration, e.g., in the tens of milliseconds, can be effectively compensated.

The present invention relates to methods and devices to control and operate the functionality of a power amplifier system (100) capable of operating in at least three differential amplification modes. The drive signal's amplitude envelope controls an integrated switch network (104; 105, 106) that routes both the signal envelope and signal phase to different modulation blocks (111, 112: 109, 110: 115). Depending on the envelope strength, the operational mode of the amplifier system is possible to alter to best serve the signal statistics to provide the highest overall power efficiency.

The invention provides a digital beam forming and phase fitting method, and aims to provide a method capable of suppressing interference, improving the signal to interference and noise ratio and accurately controlling the phase of a beam forming signal. The method is implemented according to the technical scheme that a steering vector model obtains relative steering vectors by using online calibration, accurate absolute steering vectors are acquired by combining absolute phase responses, which are measured in a darkroom, of a reference array element, model parameters of the steering vector are fitted out by combining the existing absolute steering vectors, and an accurate spare steering vector of an antenna array in any direction is acquired; the second-order statistic of the array signal is iteratively calculated through an array signal statistic hardware calculation module, and sent to an array signal processing algorithm module together with an antenna array steering vector and a channel response to calculate an optimal beam weight; and finally, the array signal processing algorithm module imbeds the optimal beam weight into the digital beam forming module to perform real-time digital beam forming and phase fitting and process multi-channel array data and beam output in real time.

The invention provides an indoor positioning fingerprint grouping method based on signal statistics. The method includes selecting N reference points from a positioning scene and acquiring the number ( hereinafter referred to as m) of access points in the positioning scene; performing T signal intensity samplings in the reference points and recording signal intensity information of the access points in each sampling; dividing the signal intensity information of the access points which have same strongest signal intensities in the signal intensity information of the T samplings into a group and recording the number of the signal intensity information of each group; judging whether the number is larger than or equal to a frequency-time threshold value alpha or not, if so, averaging the signal intensity information of the group as a group of fingerprints of the nth reference point, setting m coarse groupings for the fingerprints, selecting the strongest access point in the fingerprints corresponding to the reference points in each coarse grouping, and finally differing the fingerprints. The indoor positioning fingerprint grouping method based on the signal statistics is simple in operation, and the number of fingerprints needed to be compared during positioning is effectively reduced, so that cost is lowered.

The invention discloses a clinical auxiliary decision method and a device, wherein the clinical auxiliary decision method comprises the steps of receiving medical record data; analyzing the medical record data based on different statistics strategies, and obtaining preliminary diagnosis information in different statistics strategies; and fusing the preliminary diagnosis information for obtaining afinal diagnosis conclusion candidate result. According to the method, different statistics strategies with different focuses are utilized for analyzing the medical record data in multiple dimensions,thereby obtaining a plurality of sets of preliminary diagnosis information; and finally the preliminary diagnosis information in multiple strategies are fused, thereby obtaining the final diagnosis conclusion candidate result after comprehensive processing, thereby replacing an immediate inference mode of a signal statistics model, performing comprehensive decision according to the analysis results of multiple strategies, and effectively assisting a doctor in performing accurate and comprehensive disease diagnosis.

The invention is applicable to the field of industrial control and provides a sampling clock synchronizing method. The method comprises the following steps of: receiving crystal oscillator pulse signals provided by an external crystal oscillator and generating count pulse signals; receiving the count pulse signals for counting, and outputting sampling pulse signals after the counting of a preset counting quantity N is finished; receiving externally-input time pulse signals, and counting errors of the count pulse signals within a clock pulse signal period and between the clock pulse signal period and a sampling pulse signal period; and changing the preset counting quantity N according to the errors. By adopting the external stable clock pulse signals, the sampling clock synchronizing method can be used for adjusting the inherent errors of the crystal oscillator pulse singles and the errors caused by the factor that the count pulse signals trigger the sampling pulse signals under the influence of temperature change of work environments, so that the errors of crystal oscillator frequency can be reduced to the greatest extent, the effect of the accumulated errors on a sampling pulse can be eliminated, and the error accumulation of a sampling pulse clock is overcome.

The invention discloses a system for realizing joint optimization of a neighbor cell list and load balance. The system comprises a load monitoring module, a neighbor cell signal statistics module, a neighbor cell list building module and a parameter regulation module, wherein the load monitoring module is used for periodically monitoring load conditions of a serving cell and neighbor cells, and enabling the serving cell and the neighbor cells to interact the load conditions; the neighbor cell signal statistics module is used for counting the signal quality of the neighbor cells measured by a terminal in the serving cell; the neighbor cell list building module is used for building the neighbor cell list according to the load conditions of the serving cell and the neighbor cells and the counted signal quality, and transmitting the neighbor cell list to the parameter regulation module; and the parameter regulation module is used for dynamically regulating switching parameters according to the neighbor cell list so as to switch the cells and feeding back the regulated parameters to the load monitoring module and the neighbor cell signal statistics module. The neighbor cell list provided by the system gives consideration to the signal intensity and the cell load, the switching parameters are regulated according to the neighbor cell list, and the cells are switched according to the switching parameters, so that the switching mode provided by the system is more rational than the conventional switching mode.

The invention relates to a radar interference inhibition method and particularly relates to a radar dense false target interference inhibition method. The radar dens false target interference inhibition method comprises steps of importing orientation video data of an object to be detected which is scanned by the radar, calculating the orientation noise power of the object to be detected to obtain a noise evaluation value, recognizing interference, perceiving the interference environment and positioning the interference source, 3 identifying the interference, performing signal statistic analysis on the radar scanning video data in the interference field, determining whether the dense false object interference exists, 4 inhibiting the interference, adopting the frequency domain filtering technology to perform interference resistance processing on the dense false object interference data, 5 detecting an object, adopting CFAR to process the object data to be detected which has gone through anti-interference inhibition, and 6 performing tracing and track correlation on the object to be detected to finish the tracking of the object. The radar dense false target interference inhibition method can guarantee the normal operation of the radar under the interference of the dense false objects and identifies whether the false objects exist through the characteristic analysis.

The invention relates to a multi-parameter rasterizing sliding signal statistic screening processing method which is used for achieving the effect that a passive signal detection system sorts time-varying parameter complex signal sequences in the dense signal environment. High-density complex pulse signal flows which are detected and interwoven with the parameters changing randomly are subjected to parameter discretization segmentation according to time grids, time-varying parameter vectors of pulse signals are arranged corresponding to the time grids to form a vector parameter array sliding with time, a vector grid matching algorithm is adopted to conduct pre-sorting according to the time of arrival (TOA) and the angle of arrival (DOA) of signals and the carrier parameter change, and then fine sorting is conducted according to the signal pulse width and the repetition period change rule. By means of the method, sorting of the time-varying parameter complex signal sequences is decomposed into multistage vector clustering statistic screening and the least square error estimation processing, and accurate sorting and recognition can be conducted on complex signals of electronic scanning beams and phase control array radar radiation.

A method estimates bit rates for sets of coding parameters, based on characteristics of a channel, and an end-to-end distortion is estimated based on signal statistics of the video. A particular set of coding parameters that satisfies an available bit rate of the channel and that minimizes the end-to-end distortion of the video is selected. Motion compensated multiple descriptions of the video are encoded according to the selected set of coding parameters.

A method and system for communicating information via a plurality of different networks may comprise circuitry in a mobile terminal that receives broadcast information via a VHF / UHF broadcast communication path and simultaneously receives in the mobile terminal, cellular information via a cellular communication path. The system may further comprise circuitry in the mobile terminal that switches between processing of the broadcast information received via the VHF / UHF broadcast communication path and the cellular information received via the cellular communication path based on a measured broadcast signal statistic associated with a signal bearing the broadcast information and a measured cellular signal statistic associated with a signal bearing the cellular information. The broadcast information and the cellular information may be the same information. The broadcast information and the cellular information may comprise video data. The cellular information may comprise voice data.

A method and system for communicating information via a plurality of different networks may comprise circuitry in a mobile terminal that receives broadcast information via a VHF / UHF broadcast communication path and simultaneously receives in the mobile terminal, cellular information via a cellular communication path. The system may further comprise circuitry in the mobile terminal that switches between processing of the broadcast information received via the VHF / UHF broadcast communication path and the cellular information received via the cellular communication path based on a measured broadcast signal statistic associated with a signal bearing the broadcast information and a measured cellular signal statistic associated with a signal bearing the cellular information. The broadcast information and the cellular information may be the same information. The broadcast information and the cellular information may comprise video data. The cellular information may comprise voice data.

The invention relates to a working condition monitoring and fault diagnosis method for mechanical equipment. The method includes the steps that (1), vibration signals are collected; (2), primitive segmentation is performed on the signals; (3), the signals are separated and classified; (4), parameter statistics is performed on the separated signals; (5), two-parameter distribution displaying is performed, wherein all kinds of separated signals are displayed on a two-parameter plane in a scatter plot mode; (6), a motion state matrix is established; (7), by the utilization of the motion state matrix established in the step6, actual measurement vibration signal statistics and equipment state qualitative recognition are performed; (8), a quantitative relation model among the working state, working parameters and separation signal time domain statistics results is established; (9), in the real-time monitoring process, the separation signal time domain parameter statistics results are substituted into the quantitative relation model established in the step8, so that quantitative predication and fault quantitative diagnosis performed on the working parameters are achieved. Through a simple signal monitoring device low in cost, data are collected, and the working conditions of the mechanical equipment are monitored and recognized in real time. By the adoption of the simple algorithm, qualitative diagnosis performed on faults and quantitative predication performed on the working condition parameters are achieved, so that conditions are created for state monitoring and scientific fault quantitative diagnosis of the mechanical equipment.

The invention discloses a co-prime array direction or arrival estimation method based on interpolation virtual array covariance matrix subspace rotation invariance, and mainly solves the error of direction or arrival estimation caused by information loss due to the heterogeneity of the virtual array and the base mismatch problem of the predefined space grid points in the prior art. The implementation steps are that a co-prime array is established; the co-prime array receives the signal to perform modeling and calculates the equivalent virtual signal; an interpolation virtual array is constructed and the virtual domain signal statistics is initialized; the optimization problem based on nuclear norm minimization is designed and solved so as to reconstruct the interpolation virtual array covariance matrix; the signal subspace of the interpolation virtual array covariance matrix is formed; two virtual subarray signal subspaces having rotation invariance are constructed; the transformationmatrix of the two virtual subarray signal subspaces is calculated; and the closed-form solution of direction or arrival estimation is formed. The degree of freedom and the accuracy of direction or arrival estimation can be enhanced and the method can be used for passive location and target detection.

The invention relates to a real-time data statistics method of mass data. The real-time data statistics method of the mass data includes the following steps that: (1) a data receiving server transmits data received from a terminal to a data processing server for data processing; (2) the data processing server performs database storage on original signals; (3) the data processing server performs signal statistics and analysis, wherein the step (3) specifically includes: 3.1) distinguishing data types of the signals, and recognizing the data types as a numeric type and a nonnumeric type; 3.2) for the signals of the numeric type, achieving the maximum value, the minimum value and the average value of each signal of the numeric type in fixed duration through statistics, and storing the maximum value, the minimum value and the average value of each signal of the numeric type into a database list of the numeric type; for the signals of the nonnumeric type, achieving appearance times and variation frequency of each state of each signal of the nonnumeric type in the fixed duration, and storing the appearance times and the variation frequency of each state of each signal of the nonnumeric type into a database list of the nonnumeric type. By adopting the real-time data statistics method of the mass data, the volume of original data to be queried is greatly reduced, and the speed of report query and the human-computer interaction experience sense are greatly improved.

An adaptation process for automatic gain control is adapted to obtains the statistical characteristics of the received signal to estimate the input signal power level. The estimated input signal power level is used to adjust the gain of a variable gain amplifier for the automatic gain control.

The invention relates to an RFID indoor positioning system and method based on ANNs (artificial neural networks). The RFID indoor positioning method comprises following steps of carrying out positioning area data acquisition in an off-line stage, pre-processing original data, establishing a training database and constructing an ANNs indoor location positioning model; carrying out noise filtering and data normalization pre-processing on the original data by means of a Gaussian filtering principle in dependence on the signal statistical data characteristic; obtaining real time signals in the on-line stage, pre-processing data, inputting the pre-processed data into the ANNs indoor location positioning model constructed in the off-line phase in real time, and outputting the location of the object to be positioned. The RFID indoor positioning system comprises a passive RFID tag, an RFID reader and a computer terminal. Compared with the prior art, the RFID indoor positioning system and method are advantaged in that the noise filtering, pre-processing and positioning precision is high, the Gaussian filtering process calculating time is short, the noise jamming resistance is high, the cost is low and the positioning real-time performance is high and the like.

The invention discloses a method and a system for generating the data of a long-term activity zone of a mobile user. The system comprises a signaling screen module for analyzing the signaling related to the user position data from a signaling collection module and for storing the analyzed user data and user position data in data storage equipment; a signaling statistics module for calculating the total time length of user's activity in the zone during the statistic periods according to the user data and the user position data in the data storage equipment and for ordering and outputting the statistical result under the predetermined conditions, the statistical result being sent to and stored in the data storage equipment. The inventive technical proposal can perform the statistical analysis of the positional behavior of the mobile user to obtain the long-term activity place of the user, thereby facilitating the accurate advertisement with regard to user's interest.

A thin-wall part complex working condition machining state monitoring method is characterized in that cutting force signals and vibration signals are collected first through experiments, then the two kinds of signals are subjected to Fourier transformation and filtering respectively, sensitive frequency of a machining state is obtained, an approximate component and a detailed component of signals of an appointed frequency band are obtained through wavelet transformation, statistics data comprising an average value and a variance are extracted, information fusion is carried out on a feature layer, and cutting parameters and signal statistics data are used as input vectors for machining state identifying. Machining state identifying is carried out through a support vector machine algorithm, a support vector machine is trained through collected data, discriminants of different machining states are obtained, and monitoring and identifying on multiple machining process states with coupling effect such as tool abrasion, tool deforming and workpiece deforming are achieved. Machining cost can be well lowered, and machining quality is guaranteed.

The invention discloses an automatic ultrasonic-image optimization method based on signal statistic analysis. The method comprises the steps of data acquisition, signal statistic analysis and self-adaptive digital gain optimization. In the step of self-adaptive digital gain optimization, the dynamic range of signals is compressed for gray display. The method provided by the invention realizes automatic optimization of an ultrasonic image of an ultrasonic diagnosis imaging system through the steps of data acquisition, signal statistic analysis, digital gain calculation, dynamic range compression and the like, and can ensure that the finally presented image has higher gray equilibrium and a higher contrast ratio, thereby achieving a better image display effect to help to obtain a better diagnosis and treatment effect during a medical treatment process.

The invention discloses an array sound source positioning method based on signal-to-noise ratios of frequency points and offset soft judgment. A sound source signal is collected through a microphone array; the sound source signal is divided into single-frame signals in a time domain; the single-frame signals are converted into frequency domain signals through windowing and discrete Fourier transform; the single-frame signals are continuously segmented into sub-frame signals; the sub-frame signals are converted into frequency domain signals through the windowing and discrete Fourier transform;the signal-to-noise ratios of the frequency points are calculated and mapped into offset soft judgment values; corrected controllable response power values of candidate positions are calculated; and the candidate position with the maximum controllable response power value is estimated as a sound source position. The array is composed of microphones, so that three-dimensional positioning is realized; the signal-to-noise ratio is estimated for each frequency point of the whole frequency band; direct positioning is carried out without considering a time delay difference between the time of reaching the two microphones by a sound source, and a Sigmoid function is used for increasing an offset to realize soft correction; the specific frequency points are restrained by reference to the signal-to-noise ratios; prior information of the signal statistical property is not needed, and a noise power spectrum does not need to be estimated by using data of mute frames; the method is suitable for anenvironment with relatively quick noise transformation; the indexes including a positioning success rate and a root-mean-square error (RMSE) are better; and the positioning success rate is obviously improved in medium and low-signal-to-noise ratio environments, and the algorithm robustness is better.

A method includes estimating a spatial coherence between a first diffuse sound portion in a first microphone signal and a second diffuse sound portion in a second microphone signal. The first microphone signal is captured by a first microphone and the second microphone signal is captured by a second microphone which is spaced apart from the first microphone in a known manner. The method further includes defining a linear constraint for filter coefficients of a diffuse sound filter, the linear constraint being based on the spatial coherence. The method also includes calculating at least one of signal statistics and noise statistics over the first microphone signal and the second microphone signal. The method also includes determining the filter coefficients of the diffuse sound filter by solving an optimization problem concerning at least one of the signal statistics and noise statistics while considering the linear constraint for the filter coefficients.

The invention discloses an interference noise elimination method suitable for a power line carrier (PLC) communication network, which is mainly used for solving the impulse interference noise which appears randomly and has high energy causes performance attenuation of the whole communication system in the PLC network. The method mainly comprises two parts of receiver-side signal amplitude pretreatment and robust channel estimation. The initial filtering of the impulse interference noise is performed according to the statistical characteristics of received signals by the receiver-side signal amplitude pretreatment, and the influence on the residual noise is further weakened by the robust channel estimation. Compared with other conventional power line noise elimination algorithms, the method provided by the present invention is characterized by a relatively low complexity and being insensitive to noise change. The method eliminates the power line noise from the viewpoint of practical feasibility and effectiveness, so that the bit error rate is reduced during the power line carrier transmission, and the system reliability can be improved.

The invention discloses a coprime array adaptive wave beam shaping method based on covariance matrix virtual domain discrete reconstruction, wherein the method mainly settles problems of limited freedom performance and output performance reduction in prior art. The method comprises the following steps of (1), constructing a coprime array at a base station end; (2), receiving a signal by means of the coprime array and modeling; (3), obtaining a virtual array equivalent receiving signal; (4), calculating a coprime array virtual domain spatial spectrum; (5), reconstructing an anticipated signal guiding vector; (6), performing discrete reconstruction of an interference and noise covariance matrix; and (7), calculating a coprime array wave beam shaping weight vector. The coprime array adaptive wave beam shaping method sufficiently utilizes an advantage that the coprime array can improve freedom, and calculates the virtual domain spatial spectrum through an equivalent virtual signal statistics amount, thereby realizing parameter estimation. Furthermore a reconstruction concept is utilized for realizing designing of a coprime array physical antenna array weight vector, thereby effectively improving freedom and output performance of an adaptive wave beam shaper. Furthermore the coprime array adaptive wave beam shaping method can be used for directional transmission and receiving of signals.

A signal can be analysed to determine statistical characteristics indicative of, for example, the predictability or time reversibility of the signal. The signal is examined to locate events corresponding to the crossing of predetermined levels with predetermined slopes. Multiple versions of the signal are combined, the versions being shifted with respect to each other by amounts corresponding to the spacings of the detected events. The shape of the resulting representation provides statistical information regarding the signal.

The object is to improve the effect of a noise reduction algorithm for hearing apparatuses and in particular hearing aids. This is achieved by a method wherein the input signal is modeled by a wanted signal model and a noise signal model. In addition, a signal statistic of the input signal is recorded in a data logging unit. The wanted signal model and / or the noise signal model can now be changed as a function of said signal statistic. Finally the noise component of the input signal is reduced using the noise signal model and / or the wanted signal model. This means that the models used can be continuously adapted to the hearing apparatus user's current situation.

A novel magnetic resonance imaging method is described, wherein undersampled magnetic resonance signals are acquired by a receiver antenna system having spatial sensitivity profiles and the image being reconstructed from the undersampled magnetic resonance signals and the spatial sensitivity profiles. The reconstruction of the image is provided by an optimization of a cost function which accounts for any of noise statistics, signal statistics, and the spatial response function, the latter of which is defined by the spatial signal response from the object to be imaged, separately for each individual pixel.

A method is provided to evaluate crosstalk effect of aggressor switching upon victim net signal transition time within an integrated circuit comprising: combining a first probability density function (PDF) of first aggressor switching time in response to a first input signal to an aggressor net driver and a second aggressor switching time in response to a second input signal to the aggressor net driver; determining a delay change curve that represents a relationship between delay change of arrival time of a victim net signal transition and relative alignment of the aggressor net driver switching time and a victim net driver switching time; and determining a third PDF of delay change of a transition of the victim net signal based upon the combination and the delay change curve.