64results about How to "Solve noise interference" patented technology

Embodiments of the invention provide a photosensitive assembly, and a fingerprint recognition panel and apparatus, relate to the photosensitive technical field, and can solve the problem of noise interference caused by direct incidence of light rays from a side surface to a photosensitive device. The photosensitive assembly comprises a thin film transistor and a photosensitive device arranged on a substrate, wherein the photosensitive device comprises a first electrode, a PIN semiconductor layer and a second electrode which are arranged in sequence in a direction far from the substrate; the first electrode is connected with the drain of the thin film transistor; the first electrode is a non-transparent electrode; the second electrode is a transparent electrode; the photosensitive assembly also comprises an isolation dielectric layer which covers the thin film transistor, the part, not in contact with the PIN semiconductor layer, of the first electrode, and the side surface of the PIN semiconductor layer; the upper surface of the isolation dielectric layer is in contact with the second electrode; the isolation dielectric layer is used for insulating and isolating the second electrode from the first electrode, the side surface of the PIN semiconductor layer and the thin film transistor; and the isolation dielectric layer comprises a light shading part arranged on the side surface of the PIN semiconductor layer.

The invention discloses a method for identifying iris of large animals, which belongs to the field of iris identification. The method mainly comprises the following steps: performing threshold variation and edge detection to an iris image to realize pretreatment, positioning the inner boundary circle and the outer boundary circle of the iris area by approximate circle fitting algorithm, determining the feature extraction area through division and normalization of the iris area, and determining the feature code through a 2DGabor filter. On the basis of the method for identifying iris of human eyes, the method solves the problem of noise interference caused by over-long eyelashes of the large animals by combining the eye features of the large animals and selecting the corresponding algorithms, and realizes the positioning of irregular pupil areas, and determination and final identification of iris feature coding of the large animals. The invention can realize effective management and information tracking of the large animals, and individual source tracing of pollution of meat products.

The present invention combines laser pulse ranging method with data collection techniques. Said device includes transmitted wave input channel, echo input channel, triggering input channel, transmitted wave amplification unit, operating, echo amplification unit, triggering unit, transmitted wave analog-to-digital conversion unit, echo analog-to-digital conversion unit, control calculation and synchronization unit, memory, interface unit, system clock, and upper computer. Said process mainly includes: beginning, initialisation, self-checking, standby, command, collecting instructing, triggering signal, collecting transmitted wave signal, echo over threshold, calculation transition time, compression and storage data, and ending collection. Said invention is suitable for moving mode continue laser ranging, laser radar and conventional data collection application system.

The invention discloses a planar array electrical capacitance tomography method and a system thereof, and relates to the technical field of image reconstruction. In the invention, the planar array electrical capacitance tomography system comprises a capacitance sensor, a data measurement and acquisition module and a computer. The capacitance sensor converts the distribution of the substance-fieldmedium of the object detected to a capacitance value; the data measurement and acquisition module is used for measuring and acquiring the capacitance value between any two electrode plates, and transmitting the measured capacitance data to the computer; the computer optimizes the capacitance data through fuzzy C-mean clustering algorithm, uses the optimized capacitance value as an image reconstruction value, reconstructs the defect image in combination with a non-iterative image processing algorithm or an iterative image processing algorithm, and obtains a reconstructed image. Compared to conventional imaging methods, the planar array electrical capacitance tomography method and the system thereof can solve the problem that the capacitance data is influenced by the position of the electrode plates and the noise interference of the detection environment, and obtain more stable and high-quality image of the measured field.

The invention discloses a phase-locked amplifier based attenuation parameter measurement device. The device comprises a radio frequency signal source, an excitation signal input end, an attenuation signal input end, a local oscillator source, a frequency mixer, a program-controlled stepping standard attenuator and a phase-locked amplifier. According to the scheme, a method of replacing combination by radio frequency series connection and low and medium frequency series connection is adopted to carry out improvement on the system, a method of phase-locked amplifier correlation detected is introduced, the phase-locked amplifier is used to act as a medium frequency receiving device, useful signals are extracted from weak signals, and influences imposed on attenuation measurement by noise interference in the surrounding environment are eliminated. The bandwidth is compressed and the noises are suppressed to the maximum degree through the scheme disclosed by the invention, thereby enabling the measurement accuracy and the dynamic range of the system to be greatly improved, and thus solving an interference problem of various noises in the high attenuation measuring process.

The invention relates to the technical field of communication noise reduction, in particular to a single microphone voice noise reduction method. According to the method, time slots with no user voice input during a conversation process are identified, and voice signals collected by a microphone during the time slots with no user voice input are all background noise signals, so that the time slots are used for obtaining the background noise signals, then noise filtering processing is conducted on the voice signals during the conversation process according to the background noise signals, and therefore the noise disturbance problem can be solved by only one microphone, and the cost and design difficulty of mobile communication equipment are reduced.

This digital signal transmitted flip-ring-free underwater cable carriage comprises of coaxially connected a major cable wheel and a transitional wheel which are located to the frame by the bracket bearing, the fixed wheel coaxially fastened to the other end of the bracket and loaded with the transitional wheel with a pulley arm between them, and the pulley equipped with a pulley and a movement compensation spring, through which the pulley links with the pulley arm; An analog digital converter circuit is loaded at the linkage of the transducer cable and transitional cable of the main cable, with one end of the transducer cable connected with the power of the transducer, the other end of the transducer cable connected with the analog digital converting electric circuit, which changes the collected analog signal of the transducer to digital signal. The digital signal is transmitted to signal processor for treatment through the transitional cable and pre enwind the transitional cable to the transitional wheel in the same winding direction of the cables on the major cable wheel, and the other end of the transitional cable connected to the signal processor. This cable carriage is simple in structure and reliable of signals.

The present invention provides a human skeleton tracking system and method based on multiple Kinects. The system comprises: a first terminal, where the first terminal comprises multiple Kinects, and is configured to collect human body images and change the human body images into point cloud data; a data transmission module; a second terminal, wherein the second terminal comprises a data receivingmodule and is configured to receive the point cloud data; a data conversion module, wherein the data conversion module is configured to unify a camera coordinate system of multiple Kinects and a shotmark point coordinate system to obtain an initial transformation relationship of each two Kinects; a data fusion module, wherein initial pairing is performed on each two Kinects to obtain multiple matching methods for one Kinect, the optimal pairing of each Kinect is obtained through the least squares iteration, and the point cloud data of multiple Kinects are fused according to the optimal transformation relationship of each two Kinects; and a skeleton extraction module, wherein human reconstruction is performed according to the point cloud data fused by the data fusion module. According to the system and method provided by the present invention, the misalignment of point cloud data registration can be reduced.

The present invention relates to a wireless sensing network and ultrasonic wave-based indoor positioning system and method mainly for solving the problem that a conventional positioning detection method is large in error. According to the present invention, by adopting a digital envelope detection technology of digital phase lock amplification, a distance measurement error caused by the interference of the white noise in an environment and a hardware circuit during an ultrasonic ranging process is solved, at the same time, the stability of the measurement data is improved substantially, during the distance measurement, by adopting a time synchronization method based on the RF communication, the time synchronization precision of an emission node and a target node is improved, thereby improving the distance measurement precision.

The embodiment of the invention discloses a floating floor slab thermal insulation sound insulation system and a laying method thereof. The system comprises a thermal insulation sound insulation boardand a fine aggregate concrete protective surface layer which are successively laid on the upper surface of the basic layer of a concrete floor board from bottom to top, and steel wire screen pieces capable of preventing the fine aggregate concrete protective surface layer from cracking are arranged in the fine aggregate concrete protective surface layer. The system adopts the mode that the thermal insulation sound insulation board and the fine aggregate concrete protective surface layer are successively laid on the upper surface of the basic layer of the concrete floor board from bottom to top, the problem of upstairs and downstairs noise interference and heat conduction can be effectively solved, the steel wire screen pieces are utilized for avoiding the problem that the fine aggregate concrete protective surface layer cracks, and the technology is advanced, safe, reliable, economic and reasonable, ensures the project quality, and achieves significant economic, social and environmental benefits.

Disclosed is a floc detection method combining three-frame differential higher-order statistics (HOS) with an OTSU algorithm. Since a commonly used floc tracking method is susceptible to noise, light and floc movement speed and the like at present and complete characteristics of a floc movement target are hard to extract, a floc target detection method based on combining the three-frame differential HOS with a particle swarm optimization enhancing OTSU algorithm is put forward. The floc detection method includes: subjecting consecutive three-frame images to differential calculation; calculating fourth-order moment pixel by pixel and comparing the fourth-order moment with threshold values; utilizing particle swarm optimization enhancing OTSU algorithm to acquire a best threshold value; utilizing the best threshold value to perform image binaryzation and image post-processing to acquire a relatively clear floc target finally. Therefore, a foundation of automatic subsequent floc analysis is laid. The floc detection method has the advantages of being accurate and rapid, capable of effectively extracting the floc target and applicable to effective extraction of the floc target in water treatment.

The invention provides a two-phase flow parameter detection method based on the porous throttling and acoustic emission technology. The method realizes the combined measurement of porous orifice platebased on differential pressure measurement and acoustic emission technology based flow noise measurement, and solves the problem of noise interference when the two-phase flow is measured by using theacoustic emission. According to the detection method of the invention, the vibration noise of a pipeline itself and the inherent noise of the power source such as a water pump air compressor, and thenoise source from other parts can be eliminated or weakened. At the same time, the method makes full use of the advantages of the porous orifice plate and the acoustic emission technology in the respective measurement modes through a reasonable design, so that the two measurement means are more reasonable and effective in the combination mode, and the two-phase flow quantitative measurement basedon the acoustic emission technology can be realized.

The invention discloses a human body finger vein identification method, which comprises the following steps that: reducing a target image into a set ratio, carrying out initial clustering on all pixels in the target image according to the gray values of the pixels; deleting a clustering value corresponding to a maximum center value and a minimum center value in the initial clustering, and carryingout secondary clustering on the gray values in residual clustering sets; deleting a category with the maximum center value in the secondary clustering, combining residual categories in each categoryinto a gray set, and updating the gray values in the gray set according to the maximum gray value and the minimum gray value in each category; extracting the pixel values which are greater than zero in characteristic pattern data, and independently forming a spatial point set by aiming at each characteristic pattern data; adopting an ICP algorithm to calculate the total rectification effect valueof the target image and the fingerprint image template; and when the minimum value in the total rectification effect value is smaller than a set threshold value, proving that a collector of a target image and a collector who corresponds to a fingerprint image template which generates a minimum rectification effect value are the same person.

The invention discloses a point embedded type heat preservation and sound insulation floor and a construction method thereof. The floor comprises a floor basic layer, a first interface layer, a heat preservation and sound insulation net cushion layer, a second interface layer, a light mortar temperature preservation and sound insulation layer and a cement mortar leveling layer in sequence from bottom to top. A plurality of through holes are formed in the heat preservation and sound insulation net cushion layer. A plurality of bulges matched with the through holes and stretching into the through holes are arranged on the light mortar temperature preservation and sound insulation layer. The end faces of the bulges make contact with the first interface layer. The first interface layer is used for bonding the floor basic layer with the heat preservation and sound insulation net cushion layer and the light mortar temperature preservation and sound insulation layer. The second interface layer is used for bonding the heat preservation and sound insulation net cushion layer, the light mortar temperature preservation and sound insulation layer and the cement mortar leveling layer. The point embedded type heat preservation and sound insulation floor can be widely applied to floor temperature preservation and sound insulation engineering of industrial and civil buildings to improve the indoor environments of the buildings, the integrality and crack resistance of the floor are good, safety and reliability are achieved, efficiency is high, energy consumption is low, the construction quality is easy to control, economy and reasonability are achieved, and the national environment-friendly and energy-saving requirement is met.

The invention discloses an acceleration signal conversion method, a servo circuit and a quartz flexible accelerometer, and the method comprises the following steps: receiving a differential capacitance signal of a quartz meter head, converting the differential capacitance signal into a voltage signal, and converting the voltage signal into a digital signal; collecting temperature field information in the accelerometer and converting the temperature field information into a digital signal; and performing high-order nonlinearity and temperature drift coefficient calibration compensation on the digital signal to obtain an acceleration digital signal, leading out the acceleration digital signal through a serial port, outputting the acceleration digital signal to the outside, completing acceleration signal conversion, converting the output digital signal into an analog signal, and connecting the analog signal to a feedback loop after amplification and compensation to form a closed-loop control system. The size of the inertial measurement system can be greatly reduced, the detection precision of the inertial measurement system is effectively improved, long-line transmission is avoided, noise interference is reduced, temperature information and voltage signals are converted into digital signals for calibration compensation, the output precision of the accelerometer can be greatly improved, and the zero-bias stability is improved.

The invention discloses an aircraft posture control system, belongs to the field of control systems, in particular relates to improvement of an aircraft posture control system, and provides an aircraft posture control system which is small in error, low in noise and precise in control. The aircraft posture control system comprises a sensor, a memory, a time-delay judgment module, a calibration module, a filter circuit, an oscillator, a trigger, a timer and a power supply. The aircraft posture control system is characterized in that the sensor is connected with a filter, the memory, the time-delay judgment module, the calibration module, the filter circuit, the oscillator and the trigger in sequence; the filter circuit is connected with the oscillator and the trigger; the oscillator is connected with the power supply; the trigger is connected with the timer.

An earthquake sensor testing system and method are disclosed. The system comprises an excitation module, a collection module, a display module, a condition setting module, a data storing and processing module and a control module; the excitation module is used for sending excitation signals to an earthquake sensor to be tested when responding to control instructions; the collection module is used for collecting and transmitting sensing signals of the earthquake sensor to be tested when responding to the control instructions; the display module is used for receiving and displaying the sensing signals when responding to the control instructions; the condition setting module is used for setting testing conditions according to testing requirements when responding to the control instructions; the data storing and processing module is used for storing and processing the sensing signals when responding to the control instructions; the control module is used for sending out the control instructions to instruct the condition setting module to set testing conditions, to instruct the excitation module to send out the laser signals, to instruct the collection module to collect and transmit the sensing signals, to instruct the display module to receive and display the sensing signals and to instruct the data storing and processing module to store and process the sensing signals.

The invention relates to a wind instrument, particularly relates to a weak-sound suona horn. The weak-sound suona horn is an improved musical instrument of a Chinese traditional suona horn; a device with a weak sound effect is added, and is subjected to weak sound improvement together with the partial structure of the traditional suona horn; and the weak-sound suona horn is mainly applied to a beginner of the traditional suona horn or a modern national orchestra with a special need.

The embodiment of the invention discloses a method and apparatus for reducing GPS interference, and a mobile terminal. The method comprises: after turning on of a GPS is detected, a set number of CPUs are applied for core working to start a multi-core working mode and thus the working frequency of an electronic device is higher than that of a GPS receiver, wherein the set number is an integer larger than 1; and during the GPS working process, if a set cancelling condition is met, the multi-core working mode of the CPUs is cancelled. With the method, a problem of the noise interference on the GPS receiver by the electronic device can be solved and the precision of the mobile terminal GPS can be improved. Besides, reasonable utilization of the CPU resources of the mobile terminal during GPS working is also realized, thereby guaranteeing normal processing on other functional applications by the CPU in the mobile terminal.

The invention discloses a resampling image detection method based on a convolutional neural network. The method comprises the following steps: segmenting a detection image according to alpha, and obtaining a plurality of sub-images; normalizing the color channels of all the sub-images; constructing a resampling database according to the detection image; performing training optimization on the resampling database through a convolutional neural network; screening the normalized sub-images according to the optimized resampling database; the screened sub-images are judged through a threshold method, If the sub-images are not smaller than the threshold, it is determined that resampling operation exists in the detection image; If so, determining that no resampling operation exists in the detection image. According to the method, feature extraction is carried out through the convolutional network, an overall network structure is designed by using the thought of residual errors, traditional manual initialization parameter setting is abandoned, parameters in the convolutional neural network are optimized through a momentum technical method, a globally optimal detection effect is achieved, and the situation that the convolutional neural network is locally optimal is prevented.

The invention provides a new energy flexible direct-current grid-connected transient harmonic detection method and a new energy flexible direct-current grid-connected transient harmonic detection system. The number K of VMD decomposition mode components is determined by adopting a Pearson correlation coefficient method, the start time and stop time of signal disturbance are accurately positioned by utilizing a singular value decomposition (SVD), and finally instantaneous amplitude frequency information is extracted through Hilbert transformation and least square fitting, so that the algorithmadaptability and the calculation efficiency are improved while the high-precision detection and disturbance positioning of transient harmonic signals are realized. The efficiency and accuracy of harmonic detection are improved, the system is beneficial to harmonic treatment according to a detection result, the power loss of a power grid is reduced, the impact of transient disturbance on the steady-state operation of the power grid is reduced, and the stability of the operation of the power grid is improved.

The invention relates to a distribution transformer fault detection method and system. According to the distribution transformer fault detection method, a distribution transformer fault detection model based on a robust multi-core extreme learning machine-auto-encoder is adopted. According to the method, a detection result is obtained based on monitoring data obtained in real time in the operation process of the distribution transformer, so that the problems of data imbalance and noise interference are solved, and therefore, the fault detection rate is improved and the fault false alarm rate is reduced.

The invention provided an aircraft ground test monitoring system which belongs to the technical field of electronics. The aircraft ground test monitoring system is composed of an intercommunication device, an outercommunication device, a voice wireless communication device, a wireless camera, a wireless data transmission device and a monitoring computer. The intercommunication device and the outercommunication device are composed of noise reduction headsets and noise reduction microphones. The wireless camera is an adsorption wireless high definition camera. The intercommunication device and the wireless camera are arranged in an aircraft cabin. The intercommunication device communicates with the outercommunication device through the voice wireless communication device. The wireless camera transmits image information to the monitoring computer through the wireless data transmission device. According to the invention, under the condition of high noise, real-time intercommunication and outercommunication are realized; the communication quality is ensured; and wireless intercommunication, outercommunication and monitoring are realized through video monitoring.

The invention discloses a hyperspectral image denoising method based on non-local low-rank tensor decomposition of a subspace, a high-dimensional hyperspectral image has a low-rank characteristic in the subspace, and for a subspace feature map of the hyperspectral image, combined low-rank constraint is carried out on the subspace feature map by using spatial non-local self-similarity and tensor Tucker decomposition. And the denoising capability of the mixed noise is further improved. The technical scheme is mainly used for solving the problem of noise interference in the hyperspectral image, and Gaussian noise and sparse noise contained in the hyperspectral image can be removed. A high-dimensional hyperspectral image has a low-rank characteristic in a subspace, and for a subspace feature map of the hyperspectral image, combined low-rank constraint is performed on the subspace feature map by using spatial non-local self-similarity and tensor Tucker decomposition, so the denoising capability of mixed noise is further improved.

The invention aims to better research stock market morphological significance and short-term trend prediction in a financial time sequence and provides a financial time series Motif mode mining methodbased on a trading volume index. The method comprises the steps of carrying out stock market analysis by changing the observed spatial dimension, wherein firstly, preprocessing transaction volume indexes, then selecting a proper data representation mode; secondly, introducing a partwise broken line fitting method, displaying the data in a broken line form by adopting a sliding window algorithm, finally, correspondingly segmenting the transaction volume and the stock price data, finding a price broken line Motif mode with research significance from the data, and carrying out mode detection bycombining a short-term trend clustering method. The inventor performs empirical analysis on historical data of Shanghai securities exchange and Shenzhen securities exchange, and the result shows thatthe method can highlight the characteristics of the data, reflect the implicit information of the quantity-price relationship and solve the problem of data noise interference.

The invention relates to a shock absorption and noise reduction structure for a sonic logging tool, in particular to the shock absorption and noise reduction structure for the sonic logging tool. The sonic logging tool is provided with a shell. The shell is provided with one or more sound insulation grooves and a receiver acoustic window. The sound insulation grooves are used for attenuating direct waves. The receiver acoustic window is used for receiving sound. A rubber layer wraps the sonic logging tool and used for reducing and attenuating friction noise. The rubber layer has different shapes and sizes according to the different sound insulation grooves.

The present invention provides a system and method for tracking human body skeletons based on multiple Kinects, comprising: a first terminal comprising a plurality of Kinects, collecting human body images into point cloud data; a data transmission module; a second terminal comprising: a data receiving module, a receiving point Cloud data; the data conversion module unifies the camera coordinate system of multiple Kinects and the coordinate system of the shooting points to obtain the initial transformation relationship of each two Kinects; the data fusion module performs initial pairing of each two Kinects to obtain a Kinect A variety of pairing methods, iteratively obtain the best pairing of each Kinect through the least square method, and fuse the point cloud data of multiple Kinects according to the best transformation relationship of each two Kinects; the skeleton extraction module, according to the fusion of the data fusion module Human body reconstruction from point cloud data. The above-mentioned system and method reduce the misalignment phenomenon of point cloud data registration.

The invention discloses a shift register, a gate drive circuit and a display device, when a pull-up node is at a low level, the shift register controls a first noise reduction module to be conducted through a third signal control end and provides a low-level signal of a first power supply end to the pull-up node, so that the signal of the pull-up node is pulled down, noise is reduced, and the display effect is improved. Therefore, the problem that noise interference is generated to the gate driving signal output end when the clock signal provided by the clock signal end is high level is solved.