33results about How to "Not easy to be disturbed by noise" patented technology

The invention discloses a different-source image matching method based on refined feature optimization extraction, which mainly solves the problem of low matching precision in the prior art, and adopts the technical scheme that 1, gradient moduli and directions of an optical image and an SAR image are calculated by adopting different gradient operators respectively; 2, completing region-of-interest calibration by utilizing the specific property of the target in the image; 3, according to the result of the step 1, obtaining edge features of the interested areas of the two images, and obtaininga coarse matching affine transformation matrix between the two images through template matching; 4, obtaining a transformed optical image by using the coarse matching affine transformation matrix, andthen extracting refined features; 5, performing preliminary matching on the refined features, and eliminating singular point interference to obtain a fine matching affine transformation matrix; and 6, obtaining a final affine transformation relation matrix between the optical image and the SAR image according to the results of the steps 3 and 5. The method can achieve the precise registration ofa heterologous image, and can be used for the guidance of an aircraft.

The invention provides a capacitive stylus used for operations on a capacitive touch panel (200). The capacitive stylus comprises a transmitting unit (1) and a capacitive stylus control processing unit (2). The transmitting unit is used for transmitting high-voltage alternating current signals to the capacitive touch panel (200). The capacitive stylus control processing unit is used for generating high-voltage alternating current signals; the signals are transmitted to the capacitive panel (200) by the transmitting unit (1), so that the capacitive touch panel (200) can measure location of the capacitive stylus (100) according to the high-voltage alternating current signals. The capacitive stylus has the advantages that the high-voltage alternating current signals are transmitted to the capacitive touch panel to allow the capacitive touch panel to locate according to the high-voltage alternating current signals; the strength of the high-voltage alternating current signals is high, so that signal to noise ratio and locating precision can be increased.

The present invention provides a fingerprint light current detection unit, a fingerprint recognizer, a driving method and a display device. The fingerprint light current detection unit includes a conversion circuit and a detection circuit; the conversion circuit is connected with a fingerprint light current reading line and is used for converting the fingerprint light current of the fingerprint light current reading line into corresponding square wave signals; and the detection circuit is connected with the conversion circuit and is used for detecting the square wave signals and obtaining fingerprint light current information based on the frequency of the square wave signals. According to the fingerprint light current detection unit, the fingerprint recognizer, the driving method and the display device of the invention, the fingerprint light current of the fingerprint light current reading line is converted into corresponding square wave signals through the conversion circuit, namely, an electrical physical quantity-to-frequency detection conversion process of fingerprint light current detection can be realized; and a frequency detection mode is adopted, and therefore, signal strength is high, and the fingerprint light current detection unit has little possibility of being interfered by noises.

The invention discloses a mount element detection method based on color image segmentation and gradient projection positioning, and belongs to the technical field of automatic optical detection of mount elements. The mount element detection method based on color image segmentation and gradient projection positioning is characterized in that a designed image acquisition system is used to acquire color images; three-color (red, green and blue) images are converted into an HSI color model which is formed by three parameters (H (Hue), S (saturation) and I (Intensity)); as the HSI model directly uses the hue and the saturation having no relation with brightness when the HSI color model extracts the color information, the mount element detection method based on color image segmentation and gradient projection positioning is accurate and highly efficient in segmentation; one the above basis, positioning and detection of elements are carried out; positioning mainly uses the color and geometrical characteristics, and a positioning method based on gradient projection and a principal component characteristic value detection method are proposed; and the mount element detection method based oncolor image segmentation and gradient projection positioning has the advantages of high positioning accuracy and efficiency and accurate detection.

The invention discloses a control method for safety box with palmprint recognition system, comprising the following steps: A1, acquiring a palmprint image, A2, pre-treating the palmprint image, A3, extracting the feature vector of the pre-treated palmprint image, and A4, matching the extracted feature vector with the palmprint feature vector of a pre-stored authorised user, sending an unlocking instruction if matched; or else, not sending the unlocking instruction if not matched; no matter matched or not, the unlocking time and user information are stored in a storage module.

The invention discloses a detecting device for output current of a voltage regulator. The voltage regulator comprises an upper bridge assembly, a lower bride assembly and an electrical inductance which are jointly coupled to a switching joint, and the other ends of the upper bridge assembly, the lower bride assembly and the electrical inductance are respectively coupled with an input end, a grounding electric potential and an output end; the voltage regulator also comprises a controller at least controlling the movement of either the upper bridge assembly or the lower bride assembly so as to generate output voltage at the output end. The detecting device for output current comprises an upper bridge current sensing circuit, a lower bridge current sensing circuit and a setting resistance; the detecting device of output current is characterized in that the upper bridge current sensing circuit senses the current of an upper bridge assembly to generate a first current; the lower bridge current sensing circuit senses the current of an lower bridge assembly to generate a second current; a totalling circuit adds the first current and the second current to generate a summation current; thesetting resistance detects the change of the summation current, and resistance change on the setting resistance is provided for the controller to carry out feedback control.

The invention puts forward a lithium battery capacity and service life prediction method based on a generalized degradation model and multiscale analysis. The method comprises the following steps of: firstly, carrying out phase space reconstruction on historical capacity degradation data, utilizing reconstructed data to fit the generalized degradation model, obtaining a model parameter, and fitting a root-mean-square error; secondly, in multiple scales, carrying out forward estimation on a future capacity, and obtaining a forward prediction result through weighted integration; thirdly, adding a prediction result into a known sequence, and carrying out forward iterated prediction; and finally, judging whether a multi-step prediction result achieves a failure threshold value or not, and calculating remaining service life. By use of the generalized degradation model which is put forward by the invention, a complex combined degradation rule can be fit, and the model has the advantages of high universality, wide applicable range and small fitting error. On the basis of phase space reconstruction, multiscale prediction is carried out, a prediction result is obtained through the weighted integration, and the prediction result is unlikely to interfere by noise and is high in accuracy.

The invention discloses a method of identifying and classifying transient electric energy quality recording data. The method includes the following steps: obtaining electric energy quality recording data, and screening training data and test data among the data; converting the data into a module time frequency matrix, and extracting a feature vector of the module time frequency matrix; according to the feature vector, establishing a classifier of the electric energy quality recording data on the basis of a BP neural network; establishing a training sample and a test sample; inputting the training sample into the classifier, optimizing the BP neural network of the classifier through a PSO algorithm, and obtaining an optimized classifier of the electric energy quality recording data on the basis of a PSO-BP neural network; inputting a test feature vector into the optimized classifier, and receiving test classification output from the optimized classifier; determining whether the test classification and expected test classification are consistent; and if the test classification and the expected test classification are consistent, outputting the test classification. The method has the advantages of being high in identification efficiency, being high in identification accuracy, and exhibiting the high anti-interference capability.

This invention relates to one discharge lamp drive device to drive discharge lamp, which comprises drive switch circuit, variable resonance circuit and voltage detection circuit, wherein the drive switch circuit is to convert the input direct current signals into alternating signals; the variable resonance circuit and drive switch are connected to convert the alternating signals into other alternating signals to drive discharge lamp; the voltage detection circuit is connected between variable resonance circuit and discharge lamp composed of multiple division circuits and reverse charge circuit; the said division circuit and discharge lamp are responding for load voltage on discharge lamp.

The invention provides a facial expression analysis method based on a capsule network, and the method employs a multi-channel parallel technology, a Strict-Squash function, a Lane-Filter function, and DropCircuit technology to improve an original capsule network, avoids noise interference caused by the irrelevant features of facial expressions, reduces the workload of manual marking, and improves the accuracy of facial expression analysis. Therefore, sentiment analysis can be carried out on a face image with a complex background, and the expression recognition precision is improved. The method is innovated on the basis of the capsule network, can effectively learn the spatial relationship between objects, has a strong recognition capability for slightly deformed objects and pictures of the same object at different visual angles, is not liable to be interfered by noise caused by irrelevant features of facial expressions, and has a good recognition effect on the objects at different visual angles. The method can carry out correct sentiment analysis on a face image with a complex background, is high in expression recognition precision, is wide in application range, and is high in robustness.

The invention discloses a monophonic speaker separation model, a training method and a separation method. The monophonic speaker separation method comprises the following steps: acquiring audio containing a first speaker and a second speaker; segmenting the audio to obtain at least one segmented audio; inputting at least one part of segmented audio to the monophonic speaker separation model to obtain at least one part of first embedding corresponding to the at least one part of segmented audio; inputting a pre-recorded audio only comprising the second speaker to the monophonic speaker separation model, and obtaining a second embedding corresponding to the audio only comprising the second speaker; and judging whether the cosine similarity of the at least one part of first embedding and thesecond embedding is less than a preset threshold, if so, determining that the at least one part of segmented audio is a first speaker audio, and if not, determining that the at least one part of segmented audio is a second speaker audio.

A discharge lamp driving device is used for driving a discharge lamp, which includes a drive switch circuit, a voltage-transforming resonant circuit and a voltage detection circuit. The drive switch circuit is used to convert the input DC signal into an AC signal. The variable voltage resonant circuit is connected with the driving switch circuit, and is used for converting the AC signal into another AC signal to drive the discharge lamp. The voltage detecting circuit is connected between the variable voltage resonant circuit and the discharge lamp, and includes multiple voltage dividing circuits and reverse charging circuits. The voltage divider circuit is connected to the discharge lamps in a one-to-one correspondence, and is used for dividing the voltage loaded on the discharge lamps. Moreover, the voltage dividing circuits are respectively connected to the reverse charging circuits, and the reverse charging circuits charge each other to increase the DC level of the divided voltage. In the voltage detection circuit of the present invention, the voltage dividing circuits charge each other through the reverse charging circuit to increase the DC level of the divided voltage signal, so as to accurately detect whether the discharge lamp is abnormal.

The invention discloses a communication device which comprises a circuit board, a first metal shielding structure, a radio frequency circuit and a fundamental frequency circuit, wherein the circuit board comprises a circuit layer, an insulation layer and a grounding layer; the insulation layer is arranged below the circuit layer, the grounding layer is arranged below the insulation layer, and thegrounding layer upwards passes through the insulation layer and is provided with an isolated body in an extending way so as to isolate a first circuit area from a second circuit area; the first circuit area and the grounding end of the second circuit area are electrically connected with the grounding layer, and a gap is arranged between the first circuit area and the isolated body; and the radio frequency circuit is arranged on the first circuit area, the foundational frequency circuit is arranged on the second circuit area, and the first metal shielding structure is arranged above the circuit board structure and electrically connected with the isolated body so that the first circuit area and the second circuit area are not easy to interfer by respective noise.

The invention discloses a mount element detection method based on color image segmentation and gradient projection positioning, and belongs to the technical field of automatic optical detection of mount elements. The mount element detection method based on color image segmentation and gradient projection positioning is characterized in that a designed image acquisition system is used to acquire color images; three-color (red, green and blue) images are converted into an HSI color model which is formed by three parameters (H (Hue), S (saturation) and I (Intensity)); as the HSI model directly uses the hue and the saturation having no relation with brightness when the HSI color model extracts the color information, the mount element detection method based on color image segmentation and gradient projection positioning is accurate and highly efficient in segmentation; one the above basis, positioning and detection of elements are carried out; positioning mainly uses the color and geometrical characteristics, and a positioning method based on gradient projection and a principal component characteristic value detection method are proposed; and the mount element detection method based oncolor image segmentation and gradient projection positioning has the advantages of high positioning accuracy and efficiency and accurate detection.

An FPGA-based wireless trigger system and method belong to the field of trigger control. The wireless trigger system of the present invention mainly comprises FPGA baseband processing module, D / A digital-to-analog conversion module, radio frequency transceiver module, A / D analog-to-digital conversion module, power supply module; The BPSK-OFDM signal that FPGA baseband processing module produces passes D / A digital The analog conversion module and the RF transceiver module up-convert the frequency to 2.4GHz and transmit it through the antenna. The receiving antenna converts the received signal back to the baseband signal through the RF transceiver module, and then transmits it to the FPGA through the A / D analog-to-digital conversion module. The received signal and the local signal are detected and judged by fast sliding correlation. If the correlation detection result is greater than the set threshold, it will be triggered. The invention adopts a wireless trigger mode, has strong adaptability to the environment, and has a wide application range; the code group ZCZ code with good correlation characteristics is selected as the trigger signal, which is not easily disturbed by noise and has a high detection success rate; the receiving end adopts the "detection while receiving" mechanism , Data receiving and detection are completed at the same time, which greatly shortens the trigger time.

The present invention provides a capacitive pen for operating on a capacitive touch panel (200), which includes: a sending unit (1), which sends a high-voltage AC signal to the capacitive touch panel (200); the capacitive pen controls A processing unit (2), which generates the high-voltage AC signal, and sends the high-voltage signal to the capacitive touch panel (200) through the sending unit (1), so that the capacitive touch panel (200 ) measuring the position information of the capacitive pen (100) according to the high voltage AC signal. The capacitive stylus provided by the present invention sends a high-voltage AC signal to the capacitive touch panel so that the capacitive touch panel can be positioned according to the high-voltage AC signal. Since the high-voltage AC signal is strong, the signal-to-noise ratio and positioning accuracy can be improved.

The invention provides a fingerprint photocurrent detection unit, a fingerprint identifier, a driving method and a display device. The fingerprint photocurrent detection unit includes: a conversion circuit connected to the fingerprint photocurrent reading line for converting the fingerprint photocurrent read by the fingerprint photocurrent reading line into a corresponding square wave signal; and a detection circuit , connected with the conversion circuit, used to detect the square wave signal, and obtain fingerprint photocurrent information through the frequency of the square wave signal. The fingerprint photocurrent detection unit, fingerprint reader, driving method and display device of the present invention convert the fingerprint photocurrent read by the fingerprint photocurrent reading line into a corresponding square wave signal through the conversion circuit, that is, realize optical fingerprint detection from The process of converting electrical physical quantities to frequency detection adopts the method of frequency detection, which has high signal strength and is not easily disturbed by noise.

The invention discloses a control method for safety box with palmprint recognition system, comprising the following steps: A1, acquiring a palmprint image, A2, pre-treating the palmprint image, A3, extracting the feature vector of the pre-treated palmprint image, and A4, matching the extracted feature vector with the palmprint feature vector of a pre-stored authorised user, sending an unlocking instruction if matched; or else, not sending the unlocking instruction if not matched; no matter matched or not, the unlocking time and user information are stored in a storage module.

The invention puts forward a lithium battery capacity and service life prediction method based on a generalized degradation model and multiscale analysis. The method comprises the following steps of: firstly, carrying out phase space reconstruction on historical capacity degradation data, utilizing reconstructed data to fit the generalized degradation model, obtaining a model parameter, and fitting a root-mean-square error; secondly, in multiple scales, carrying out forward estimation on a future capacity, and obtaining a forward prediction result through weighted integration; thirdly, adding a prediction result into a known sequence, and carrying out forward iterated prediction; and finally, judging whether a multi-step prediction result achieves a failure threshold value or not, and calculating remaining service life. By use of the generalized degradation model which is put forward by the invention, a complex combined degradation rule can be fit, and the model has the advantages of high universality, wide applicable range and small fitting error. On the basis of phase space reconstruction, multiscale prediction is carried out, a prediction result is obtained through the weighted integration, and the prediction result is unlikely to interfere by noise and is high in accuracy.

The invention provides a pavement damage degree detection method based on the information entropy of a sensor network, and the method comprises the following specific steps: setting at least one signal transmitter and one signal receiver on a pavement, wherein the signal transmitter and receiver are respectively used for generating signals and receiving signals; applying the received signal to STWE to obtain the information entropies of the signals; and processing the information entropies by applying a TOA algorithm based on STWE, determining the sum of information entropy amplitudes, and determining that the overlapping positions of a plurality of elliptical trajectories in a chart are the positions where the cracks are located according to a relation chart of the sum of the informationentropy amplitudes and the positions. According to the invention, the damage positioning can be carried out at a high noise level, and the result precision is improved through STWE.

The invention relates to a wireless triggering system and method based on an FPGA, and belongs to the field of triggering control. The wireless triggering system mainly comprises an FPGA baseband processing module, a D / A digital-to-analog conversion module, a radio-frequency transceiver module, a D / A analog-to-digital conversion module and a power supply module; a BPSK-OFDM signal generated by theFPGA baseband processing module is up-converted to 2.4GHz through the D / A digital-to-analog conversion module and the radio-frequency transceiver module and is transmitted through an antenna; a receiving antenna is used for down-converting the received signal into the baseband signal through the radio-frequency transceiver module; the baseband signal is transmitted to the FPGA; the FPGA performsfast sliding correlation detection and judgment on the received signal and a local signal; and if a correlation detection result is larger than a set threshold value, triggering is performed. The wireless triggering mode is adopted, so that the environment adaptability is high, and the application range is wide; a ZCZ code of a code group with a good correlation characteristic is selected as a triggering signal, so that the triggering is not easily interfered by noises, and the success rate of detection is high; and a receiving end adopts a "receiving-while-detecting" mechanism, and data receiving and detecting are completed at the same time, so that the triggering time is greatly shortened.

The invention relates to a synchronous phasor calculation method and system for filtering noise. The method comprises the following steps: sampling a signal of a power system; windowing the sampling signal by adopting a two-week Hamming window; calculating a rotating phasor of the windowed signal relative to a rated frequency rotating coordinate system; constructing a unary quadratic equation by utilizing the three equally-spaced rotating phasors, and solving and obtaining a phasor z; obtaining a phase and a frequency of the signal and a conjugate phasor of the phasor z based on the phasor z;and correcting the rotating phasor based on the phase, the frequency and the conjugate phasor to obtain a synchronous phasor of the signal. Dynamic behaviors of a power system are considered, and themethod and system are not easily interfered by noise such as frequency offset and harmonic waves; the influence of noise on synchronous phasor measurement is effectively reduced; when the frequency ofthe system deviates from the rated frequency, the influence of spectrum leakage caused by fixed-interval sampling is reduced, and phasor and frequency measurement has high precision.

A touch display apparatus is disclosed. The touch display apparatus includes a touch display panel, a chip on film (COF) layer and a driving circuit. The touch display panel includes a display moduleand a touch sensor. The touch sensor is disposed on the display module. The COF layer includes a connecting portion and an extending portion connected to each other. The connecting portion is coupledto the display module, and the extending portion is coupled to the touch sensor. The driving circuit is disposed on the COF layer. The driving circuit transmits touch signals with the touch sensor through the COF layer and its extending portion.

The invention discloses a permanent magnet synchronous motor demagnetization fault diagnosis method and system based on a semi-supervised classifier. The method comprises the steps of collecting a magnetic flux leakage signal on the surface of a permanent magnet synchronous motor; performing symmetric dot matrix image generation on the magnetic flux leakage signal of the one-dimensional time domain to obtain a two-dimensional symmetric dot matrix image; inputting the symmetric dot matrix image into a wavelet scattering convolutional network for feature extraction to obtain a feature vector; and inputting the feature vector into a pre-trained semi-supervised depth rule classification diagnostor to obtain a demagnetization fault diagnosis result. According to the method, a one-dimensional time domain signal is expanded to a two-dimensional symmetric dot matrix image, complex signal processing is avoided, accurate fault diagnosis under small sample data can be realized based on the semi-supervised depth rule classifier, and the problem that actual equipment cannot be popularized and applied due to small data volume in fault diagnosis is solved.

The invention discloses a communication device which comprises a circuit board, a first metal shielding structure, a radio frequency circuit and a fundamental frequency circuit, wherein the circuit board comprises a circuit layer, an insulation layer and a grounding layer; the insulation layer is arranged below the circuit layer, the grounding layer is arranged below the insulation layer, and the grounding layer upwards passes through the insulation layer and is provided with an isolated body in an extending way so as to isolate a first circuit area from a second circuit area; the first circuit area and the grounding end of the second circuit area are electrically connected with the grounding layer, and a gap is arranged between the first circuit area and the isolated body; and the radio frequency circuit is arranged on the first circuit area, the foundational frequency circuit is arranged on the second circuit area, and the first metal shielding structure is arranged above the circuit board structure and electrically connected with the isolated body so that the first circuit area and the second circuit area are not easy to interfer by respective noise.

The invention discloses a heterogeneous image matching method based on refined feature optimization extraction, which mainly solves the problem of low matching accuracy in the prior art. The technical solution is: 1. Using different gradient operators to calculate optical images and SAR images respectively Gradient modulus and direction; 2. Use the specific properties of the target in the image to complete the calibration of the region of interest; 3. According to the results of step 1, obtain the edge features of the region of interest in the two images, and obtain a rough matching simulation between the two images through template matching. 4. Use the rough matching affine transformation matrix to obtain the transformed optical image, and then extract the refined features; 5. Perform preliminary matching on the refined features, and remove the singular point interference to obtain the fine matching affine transformation matrix; 6. According to the results of steps 3 and 5, the final affine transformation relationship matrix between the optical image and the SAR image is obtained. The invention can realize precise registration of heterogeneous images and can be used for aircraft guidance.

The invention discloses a rapid electrical fireproof current-limiting protection device which comprises a zero-cross detection module, a change rate normalization module, a microprocessor, a current sensor, a main control switch and a load circuit. According to the device, the load current is normalized, so that the value of the relative change rate drt of the real-time normalized current on which the microprocessor performs short-circuit judgment is always kept between 0 and 1, and the threshold table is the same no matter what value of the rated current of the load is, namely, when the rated current of the load is the value of 10A or 32A or 63A and the like, the value of the relative change rate drti of the standard normalized current is the same, and the value of the relative change rate drti of the standard normalized current is the same. Different current-limiting protection devices do not need to be replaced for different loads, and the device can adapt to most loads with rated current, especially load circuits below 64A.

The invention provides an acupuncture manipulation quantification method and system based on machine vision. The method comprises the following six modules: calibrating a binocular vision sensor, recording a process of an experimental needle, calculating space coordinates, analyzing corresponding manipulation operation, calculating physical parameters of the manipulation operation, and storing a result in a manipulation database. The binocular vision sensor is calibrated so as to obtain the conversion relation between image coordinates and space coordinates, the computer calculates the space coordinates of each frame of reflective target in the video, and all the space coordinates are analyzed so as to obtain manipulation operations in different time periods in the video. Physical parameters such as the amplitude and the angle of each manipulation operation are calculated and stored in a manipulation database, so that the quantification of the acupuncture manipulation is completed once.