38results about How to "Remove distracting noise" patented technology

The invention provides a high-voltage side gate drive circuit capable of resisting noise interference. The high-voltage side gate drive circuit comprises a high-voltage level shift circuit, a differential-mode noise elimination circuit, an RS trigger and an output drive level circuit, wherein a low-side pulse signal is converted into a high-voltage pulse signal for output through the high-voltage level shift circuit; a common mode noise elimination circuit is connected between the output of the high-voltage level shift circuit and the input of the differential-mode noise elimination circuit; the common mode noise elimination circuit is used for eliminating a common mode noise signal generated in application; and the differential-mode noise elimination circuit eliminates the differential-mode noise introduced by process variations, outputs a normal pulse signal, reduces the normal pulse signal into a normal square signal through the RS trigger, outputs the square signal from the output drive level circuit and drives an external high-side power tube.

The invention relates to a system and method for measuring a heart rate of a fetus. The system for measuring the heart rate of the fetus comprises a maternal electrocardiosignal acquisition unit, a belly mixed signal acquisition unit, an electrocardiosignal processing unit and a fetus heart rate calculating unit, wherein the maternal electrocardiosignal acquisition unit is used for acquiring a maternal electrocardiosignal from a mother body, the belly mixed signal acquisition unit is used for acquiring a belly mixed signal which comprises the maternal electrocardiosignal and a fetus electrocardiosignal from the belly of the mother body, the electrocardiosignal processing unit is configured to receive the maternal electrocardiosignal from maternal electrocardiosignal acquisition unit and the belly mixed signal from the belly mixed signal acquisition unit, the electrocardiosignal processing unit identifies the position of an R wave of the maternal electrocardiosignal and determines a QRS wave band signal of the maternal electrocardiosignal based on the position of the R wave of the maternal electrocardiosignal, the electrocardiosignal processing unit removes the QRS wave band signal of the maternal electrocardiosignal from the belly mixed signal to obtain the fetus electrocardiosignal, and the fetus heart rate calculating unit is configured to identify the position of an R wave of the fetus electrocardiosignal, and calculates the heart rate of the fetus according to the time interval between two adjacent R waves of the fetus electrocardiosignal.

The invention provides a fetal electrocardiogram signal detecting system. A first electrode set is arranged on a maternal shoulder part; a second electrode set is arranged on a maternal belly part, and is used for collecting a maternal belly signal; a signal acquisition module is used for acquiring the maternal belly signal and sending the maternal belly signal to an AD (Analog to Digital) conversion module; the AD conversion module is used for carrying out AD conversion on the maternal belly signal and generating the maternal belly signal in a digital signal manner; a control module is used for preprocessing and filtering the maternal belly signal and sending the maternal belly signal to a communication module; the communication module is used for forwarding the maternal belly signal to an upper computer; and the upper computer adopts a flank bipolar montage system for analyzing the maternal belly signal, and utilizes a component analysis method for separating a preliminary fetal electrocardiogram signal from the maternal belly signal. According to the fetal electrocardiogram signal detecting system provided by the invention, the weak fetal electrocardiogram signal can be extracted from a body surface, and the diagnosis of corresponding diseases is made according to relevant parameters of a fetal electrocardiogram.

The invention discloses an automatic balancing machine vibration signal processing method. Aiming to solve common problems of frequency multiplication interference, non-integral harmonic interference and strong noise interference to vibration signals to be processed, the method includes fitting general frequency values of different frequency components of the signals by the least square method to obtain wavelet transform scale factors, performing band-pass filtering on the signals through the Morlet complex continuous wavelet transform to accurately extract unbalanced vibration signals with revolving speed the same with that of a rotor, and finally calculating amplitude and frequency of the vibration signals with both measurement precision and speed increased. Since phase of the vibration signals is calculated by the full-phase FFT (fast Fourier transform) spectral analysis, initial phase of the vibration signals can be acquired accurately by the method.

The invention relates to a north seeking device which is applied to the directional and positioning field, in particular to an inertia north seeking device which uses an accelerometer as an inertia component, which comprises a servo-system, a rotating platform which is driven by a motor, a code device which is arranged on the motor, a measuring accelerometer and an additive accelerometer which are fixed on the rotating platform, and a data gathering and processing system which are connected through a serial port, wherein the measuring accelerometer is arranged on the edge of the rotating platform, a gauging spindle ak1 is vertical to the surface of the platform, an additive accelerometer is arranged in the central portion of the rotating platform, and a gauging spindle ak2 points at the measuring accelerometer along a sagittal diameter of the rotating platform. The invention has the function of automatic levelling compensation, the leveling compensation comprises a compensation of measuring error which is caused by leveling error, and an eliminate of interference noise which is caused by leveling error, thereby the measuring accuracy is effectively increased.

The invention discloses a speech control method and system based on multiple microphones, the microphones and a server. The method comprises following steps that the server receives sound informationin a region collected by the multiple microphones in different position of the same region; the server analyzes the sound information of the microphones so as to extract speech instruction informationof a user; the server determines to-be-controlled household electrical appliances and instruction information corresponding to the household electrical appliances according to the speech instructioninformation of the user; and the server sends the instruction information of the household electrical appliances to the household electrical appliances so as to control the household electrical appliances to execute corresponding operation. According to the invention, by collecting sound information in the same region through the microphones, and analyzing the sound information of the microphonesso as to extract effective speech instruction information, interfering noise is effectively restrained, speech recognition rate is increased, there is no need to set specific parameters according to specific environments and following maintenance cost is greatly reduced.

The invention relates to the technical field of industrial product surface scratch detection, in particular to a fine scratch detection method and device, electronic equipment and a computer readablestorage medium, and the fine scratch detection method comprises the following steps: convoluting a Laplace operator and a to-be-detected image, and sharpening and enhancing the to-be-detected image toobtain a to-be-detected enhanced image; carrying out mean filtering on the enhanced to-be-detected image to obtain a background image, and carrying out difference processing on the to-be-detected enhanced image and the background image to obtain a to-be-detected scratch image containing a plurality of scratch line segments; extracting a plurality of scratch line segments in the to-be-detected scratch image according to a straight line extraction algorithm to obtain a scratch line segment set composed of starting point coordinates of the plurality of scratch line segments; and generating a binary image by utilizing the coordinates of a plurality of starting points in the scratch line segment set, and performing Hough transform on the binary image to obtain a scratch line segment. Accordingto the embodiment of the invention, fine scratches can be accurately detected by carrying out scratch detection on an image with a relatively large size, so that the situation of missing detection isavoided.

The invention discloses a method for extracting rolling bearing fault features under strong interference and belongs to the technical field of fault diagnosis and signal processing analysis. A vibration sensor is used for collecting acceleration vibration signals of a rolling bearing; a VDM is used for decomposing the acceleration vibration signal into a series of IMF components; a fourth moment of a mean square envelope function of each IMF component and a fourth moment after narrowband filtering of each IMF component are calculated, a kurtosis rate of each IMF component is calculated according to the result, and finally an IMF component reconstruction signal with a relatively high kurtosis rate is selected, and fault features of the rolling bearing are extracted by utilizing mean squareenvelope analysis; the invention provides a method for extracting rolling bearing fault characteristics when strong interference exists in background noise, and an effective diagnosis tool is providedfor realizing a self-diagnosis function of an intelligent bearing.

The invention belongs to the field of biomedical engineering, and relates to a main stream type method for monitoring the concentration of carbon dioxide breathed by people in real time. The main stream type method comprises the following steps: controlling a light source to be on and off, and outputting modulating signals with continuously changed amplitudes by a dual-channel pyroelectric sensor; filtering data collected by each channel; then extracting alternating current components by utilizing the sum and difference of peak valleys; determining the concentration of the carbon dioxide breathed at present according to fitting parameters d1 and d2 obtained during a calibration experiment. The main stream type method can quickly, stable and accurately monitor the concentration of carbon dioxide breathed by people.

The invention discloses a novel position encoder, which is composed of a rotating shaft, a bearing, a casing, a rotating disk, an optical system, a position detector, a signal processing circuit boardand a signal line. The rotating disk is driven to rotate through rotating the rotating shaft, the optical system rotates, a laser beam emitted by a laser emitter in the optical system passes througha convex lens and forms a spot, the spot is incident on the photosensitive surface of the position detector, and when the position detector detects the spot emitted by the laser emitter moves along with the rotating shaft, the output end generates corresponding photocurrent signals, and the signals are processed by the signal processing circuit board to obtain corresponding voltage signals, the signals are transmitted out through the signal line, and a user can receive the signals conveniently.

The embodiment of the invention relates to the technical field of mobile terminals, and discloses an iris identification method and a related product. The method comprises the steps that the iris identification module of the mobile terminal acquires a first iris image; a processor removes a target eyelash image in the first iris image according to an eyelash image template stored by a storage device to acquire a second iris image; and the second iris image is used for iris identification. According to the embodiment provided by the invention, interference noise brought by eyelashes can be removed, and the accuracy and success rate of iris identification are improved.

The invention relates to an anti-interference dynamic distance measuring method and a dynamic accumulated water monitoring method. Before data acquisition, the scene complexity is analyzed through thenumber of echo pulses and the echo intensity, and self-adaption of a measurement environment and interference filtering are realized; in the distance measuring process, interference signals of the acquired data are eliminated by utilizing the echo intensity or the difference between the number of the echo pulses and the number of the echo pulses of the current measurement environment; and the legality of the data is guaranteed through sudden change limitation of the data; and interference noise is dynamically monitored in real time, noise thresholds with different echo intensities and different time periods are dynamically set to remove the interference noise appearing in real time, and the accuracy of a measured value is guaranteed through various means. According to the method, the ultrasonic performance is maximized, the interference under different scenes is self-adapted and filtered, compensation is introduced through feedback to adjust ultrasonic parameters, so that the method can adapt to complex scenes to filter vehicles and moving objects, and dynamic monitoring of the water level of accumulated water is realized.

The present invention discloses a loudhailer, which can detect exactly electrostatic capacitor between center electrode and Voice coil of wire and not affected by interference noise. The invention detects electrostatic capacitor between center electrode (5)and voice coil of wire (4),the characteristic of electrostatic capacitor is: the transformation circuit (11) outputted when imbarking at the any side of box (9), frame (10), center electrode (5)will transform the electrostatic capacitor detected to stated electric signal. In this way, the leading wire (11f) between detector and transformation circuit (11) can be shorten, the interference noise affecting leading wire (11f) can be restrained to minimum.

The invention discloses a molten pool image acquisition method based on a spatial filtering technology, and the method comprises the steps: focusing a lens, adjusting the gear of a neutral density dimmer to an initial position, and installing other optical devices at corresponding positions; adjusting a shooting angle to enable the high-pass spatial filter to shield the molten pool, adjusting a self-contained aperture of a camera lens to change the light incoming amount, and removing useless background information; adjusting the attenuation value of the neutral-density dimming sheet until the information of the molten pool is clear; and after test welding is finished, welding is started. The method can effectively remove high-frequency noise and interference in the molten pool image, enhance the edge of the molten pool and remove random noise in the molten pool image, and has the advantages of being high in reliability, low in cost, capable of effectively removing interference noise in the welding process, capable of obtaining a clear molten pool image and the like.

The invention relates to a device and method for eliminating interference noises from a signal source, comprising the steps of: generating a digital color transmission signal; coding an offset signal and the digital color transmission signal to generate a color transmission offset signal; converting the color transmission offset signal into an analog color transmission offset signal; add the analog color transmission offset signal and analog image signal to generate a color transmission image signal; converting the color transmission image signal into a digital image signal.

An active noise cancellation device (2) for a medical device includes an active circuit having a first input connection (8), a second input connection (10), and an output connection (12). The second input connection (10) is connected to at least one predetermined reference signal. The active noise cancellation device (2) further includes a low-impedance body connection electrode (4) adapted to be in electrical contact with a bloodstream of a subject, wherein the low-impedance body connection electrode (4) is connected to said first input connection (8), and a feedback branch (14) connecting the output connection (12) with the first input connection (8). The feedback branch (14) comprises a current limiting circuit (18) to limit a current through said feedback branch (14) to be lower than a predetermined current.

The invention discloses a building regular contour extraction method and system based on deep learning, and the method comprises the steps: obtaining a corresponding initial building contour according to a preset obtaining rule and a first remote sensing image, and obtaining a corresponding minimum enclosing rectangle according to the initial building contour; respectively calculating a first area of the initial building contour and a second area of the minimum enclosing rectangle to obtain a first ratio between the first area and the second area; when the first ratio is greater than or equal to a first preset value, determining the minimum enclosing rectangle as a final extraction result; and when the first ratio is smaller than a first preset value, dividing a plurality of to-be-detected areas according to the intersection point of the initial building contour and the minimum enclosing rectangle, and determining whether to reject the maximum inscribed rectangle corresponding to each to-be-detected area on the basis of the minimum enclosing rectangle. According to the method, the initial building contour is optimized based on the algorithm of the minimum enclosing rectangle and the maximum inscribed rectangle, so that the building contour regularization extraction precision is improved.

The invention relates to the technical field of human body bioelectricity signal acquisition, and discloses a myoelectricity acquisition system for clothes. The myoelectricity acquisition system for clothes comprises a myoelectricity sensing module, an analog front end, a core board central control module, a state display module, an upper computer module, a lithium battery module, a current limiting chip module and a right leg driving circuit module, wherein the analog front end comprises a differential amplification unit, a filtering unit and an AD conversion unit; the core board central control module comprises a data storage unit, a data processing unit and an electric quantity monitoring unit; the AD conversion unit is in circuit connection with the right leg driving circuit module; the electric quantity monitoring module is in circuit connection with a current limiting chip, and the core board central control module is in Bluetooth connection with the upper computer module; and the core board central control module is in circuit connection with the state display module. The myoelectricity acquisition system for clothes is convenient to carry and applicable to various application scenes, the electromyographic signal acquisition process is not prone to interference, and electromyographic signal acquisition integrity can be guaranteed.

The invention discloses a PCB drilling defect detection device which comprises a working box body, a supporting column is installed at one corner of the top of the working box body, a display is fixedly connected to the top of the supporting column, a rapid clamping mechanism is installed in the center of the top of the working box body, a stand column is installed on one side of the top of the working box body, and a lifting mechanism is installed in the stand column. Through the arrangement of the lifting mechanism, the lifting of an image acquisition module is realized, the height of the image acquisition module can be adjusted according to the actual condition of a shot PCB, through the arrangement of the rapid clamping mechanism, a servo motor is utilized to drive a clamping head to perform centering clamping, the quick positioning and clamping of the PCB are realized, and manual operation is not needed. The device greatly reduces the labor cost, removes the redundancy and interference noise of the collected image through the image processing module, greatly improves the definition of the image, and marks the found defects through the defect marking module, thereby facilitating the checking of a worker.

The embodiment of the invention discloses a signal analysis method and terminal. The method includes the following steps: acquiring the current first information value of a target signal; adjusting the center frequency value of a filter according to the first information value; using the filter with adjusted center frequency value to filter the target signal; then extracting the feature information value of the filtered target signal; finally analyzing the target signal according to the feature information value. Because the center frequency value of the filter can be adjusted in a self-adaptive manner according to the first information value when the target signal is filtered, the interfering noise can be effectively eliminated, and the signal quality of the target signal after filtering is improved. Therefore, method and the terminal provided by the embodiment of the invention can improve the precision of the analysis result during the signal analysis process.

The invention relates to a method for measuring the contents in the sample to be measured, which comprises the following steps: (a) combining a voltaic biosensor which includes at least one electrode assembly and oxidation-reduction electric agent, and exerts one preset voltage on the electrode assembly; (b) putting a sample in the biosensor and immediately setting the preset voltage value down gradually until it cannot drive the electric agent to oxidation-reduction react;(c) after reacting enough time, providing a second voltage on the electrode assembly which can drive the electric agent to react;(d) measuring the electrochemical reaction current of said electrode assembly, deciding the contents in the sample to be measured.

The invention belongs to the technical field of computer algorithms, in particular to an electrocardiographic signal denoising algorithm based on wavelet transform of a new threshold function, which is suitable for removing three common electrocardiographic signal noises and adding analog noise to the original electrocardiographic signal. The signal forms the actual ECG signal polluted by noise. After that, the wavelet base is selected to decompose the noisy signal, and the baseline drift, power frequency interference and EMG interference contained in the ECG signal are decomposed into different parts through multi-layer wavelet decomposition. The wavelet coefficients generated by baseline drift are processed by smooth filtering method, and the wavelet coefficients generated by power frequency interference and EMG interference are processed by a new threshold function, and finally the ECG signal without noise is reconstructed. It has been verified that the present invention can effectively overcome the shortcomings of soft and hard thresholds, and obtain a complete and smooth denoising waveform.

The invention provides a single-phase five-level inverter and a control method thereof. The inverter comprises a first switch tube, a second switch tube, a third switch tube, a fourth switch tube, a fifth switch tube, a sixth switch tube, a seventh switch tube, an eighth switch tube, a first capacitor, a second capacitor and a diode. The inverter provided by the invention has the advantages of simple structure, lower DC side voltage amplitude requirement, and small output common-mode interference noise without isolation transformer. If the inverter is connected to the grid for grid-connected operation, the negative terminal of the DC side is connected to the neutral point of the grid so as to eliminate common-mode noise, and the voltage on the AC output side can be up to four times the voltage on the DC side.

The invention provides a real-time adaptive error calibration system for electromagnetic tracking. The system comprises at least one transmitting device, a transmitting antenna, at least one receivingdevice and a receiving antenna. Each transmitting devices matches the transmitting antenna and is used for transmitting a pulse positioning signal through the transmitting antenna, wherein the pulsepositioning signal is electromagnetically interfered in propagation in an environment. Each receiving device matches the receiving antenna, and is used for using a time-sharing receiving method to receive the pulse positioning signal carrying electromagnetic interference through the receiving antenna, and carrying out signal processing and error calibration to process the pulse positioning signalcarrying electromagnetic interference. Electromagnetic interference in the pulse positioning signal is removed to acquire a real pulse positioning signal. According to the invention, by using the acquired interference information, an error calibration module can eliminate interference noise in the positioning signal in real time; and the system is stable, efficient and real-time.