127results about How to "Remove noise signal" patented technology

Near-field sensing of wave signals, for example for application in headsets and earsets, is accomplished by placing two or more spaced-apart microphones along a line generally between the headset and the user's mouth. The signals produced at the output of the microphones will disagree in amplitude and time delay for the desired signal—the wearer's voice—but will disagree in a different manner for the ambient noises. Utilization of this difference enables recognizing, and subsequently ignoring, the noise portion of the signals and passing a clean voice signal. A first approach involves a complex vector difference equation applied in the frequency domain that creates a noise-reduced result. A second approach creates an attenuation value that is proportional to the complex vector difference, and applies this attenuation value to the original signal in order to effect a reduction of the noise. The two approaches can be applied separately or combined.

A detection unit for detecting an electric field or a magnetic field is placed above a circuit to be detected. A control device allows the detection unit 4 to carry out detection processes while moving the detection unit in a predetermined direction with an electric current being applied to the circuit board so that an electric field distribution or a magnetic field distribution on the circuit board is detected. Moreover, the control device compares the results of the diction with reference data that has been preliminarily registered, and if there is any portion between the two pieces of data that is not coincident with each other, it is determined that the corresponding circuit board is a defective circuit board. Thus, it is possible to detect any defective portion on the printed circuit with high precision in a non-contact state to the circuit board.

Devices, systems and methods for navigating and determining the location of downhole oil and gas wellbore tools are disclosed. The devices, systems, and methods may include a drone including an ultrasound transceiver that generates and receives an ultrasonic signal that interacts with the environment external to the drone and detects, utilizing a processer associated therewith, changes the environment external to the drone. The speed and location of the drone may be determined using the processor. Alternatively, an electromagnetic field generator that generates a field that interacts with the environment external to the drone. When the drone moves through the wellbore, the environment external to the drone constantly changes. Based on this changing environment, the speed and location of the drone is determined using the present devices, systems and methods.

A directional sound source filtering apparatus using a microphone array and a control method thereof are provided. The directional sound source filtering apparatus using a microphone array includes an image detector to detect images in a destination area, a sound collector located by the microphone array in which microphones are arranged to detect sound sources together with the images detected by the image detector. The apparatus includes a controller to precalculate time delay values of sound sources within the images in order to extract sound sources within the image from the sound sources detected by the sound collector, and perform beamforming through the calculated time delay values. Sound source signals only within images may be selectively amplified using beamformers.

A touch panel, which contains a substrate, a mask layer, a sensing circuit layer and a barrier layer, is disclosed. The mask layer is disposed around the bottom surface of the substrate. The sensing circuit layer is located on the same side of the substrate with the mask layer, and the surrounding area of the sensing circuit layer is shielded by the mask layer. In addition, the area of the sensing circuit layer exposed from the mask layer is defined as a sensing region. Furthermore, the barrier layer is disposed between the substrate and the sensing circuit layer and between the mask layer and the sensing circuit layer. Concurrently, the barrier layer further provides separation between the mask layer and the sensing circuit layer. The barrier layer has a transparent appearance. Particularly, the barrier layer is provided for changing optical refraction and harmonizing optical reflection index and transmittance.

The invention discloses a differential capacitive MEMS (Micro-Electro-Mechanical System) microphone. The differential capacitive MEMS microphone comprises a circuit board, a first MEMS chip and a second MEMS chip, wherein the first MEMS chip comprises a first substrate arranged on the circuit board, and a first capacitor which is arranged on the first substrate and comprises a first back polar plate positioned above, a first vibration film positioned below and a first isolation layer arranged between the first back polar plate and the first vibration film; the second MEMS chip comprises a second substrate arranged on the circuit board, and a second capacitor which is arranged on the second substrate and comprises a second back polar plate positioned below, a second vibration film positioned above and a second isolation layer arranged between the second back polar plate and the second vibration film; and the first capacitor and the second capacitor construct a pair of differential capacitors. Through adoption of the differential capacitive MEMS microphone disclosed by the invention, external noise signals can be filtered; the signal-to-noise ratio is increased; and the performance of a microphone product is enhanced.

A heart rate monitoring method and device to analyze signals in time or frequency domain with motion noise signal reduction comprises at least two LEDs for providing two different light signals for incidenting into a portion of a human, a photodetector for detecting two reflected and scattered signals reflected and scattered form the human, and a processor for eliminating motion noise signal cause by any motion of the human. The processor may compare the two reflected and scattered signals and execute an independent component analysis to obtain a correct heart rate signal in time domain, and then the processor can calculate the correct heart rate. The processor may transform the two reflected and scattered signals form time domain to frequency domain and compare the two reflected and scattered signals in frequency domain to obtain a heart rate signal in frequency domain, and then the processor can calculate the heart rate.

The invention discloses a method for improving robot parameter identification accuracy and belongs to the field of industrial robot control. The method comprises optimizing stimulation trajectories through a genetic algorithm; stimulate a robot to perform cyclical movement according to the optimized stimulation trajectories; sampling actual joint positions and actual torque data during moving and processing the data to obtain torque values, joint positions, joint speeds and joint accelerated speeds which are high in signal to noise ratio; establishing a dynamic linear model, and identifying all parameters related to joint dynamics through a weighted least square method. By the aid of the method, the actual trajectory Fourier series form is fit through an inverse method, and accordingly, speeds and accelerated speeds which cannot be obtained directly in experiments can be obtained conveniently, noise signals in sampling position signals and torque signals can be eliminated through an equalization method, the signal to noise ratio is improved and the robot parameter identification accuracy is improved.

A TFT readout system radiation image detector capable of satisfactorily removing noise signals generated by the parasitic capacitors formed in the vicinity of the respective intersections between gate control signal lines and charge signal lines with a simple and inexpensive circuit configuration. The detector includes charge detecting elements for storing charges generated by receiving radiation; gate control signal lines through which a gate control signal flows to control the switching element of each charge detecting element; charge signal lines to which charge signals stored in the storage sections flow out; and dummy signal lines, each being installed adjacent to each of the corresponding charge signal lines. The dummy signal flowed out to each dummy signal line is subtracted from the signal flowed out to each charge signal line when the gate signal is flowed through the gate control signal line by the differential amplifier.

A directional sound source filtering apparatus using a microphone array and a control method thereof are provided. The directional sound source filtering apparatus using a microphone array includes an image detector to detect images in a destination area, a sound collector located by the microphone array in which microphones are arranged to detect sound sources together with the images detected by the image detector. The apparatus includes a controller to precalculate time delay values of sound sources within the images in order to extract sound sources within the image from the sound sources detected by the sound collector, and perform beamforming through the calculated time delay values. Sound source signals only within images may be selectively amplified using beamformers.

In order to identify an optical cable for optical communication from a remote place, a Sagnac interferometer including two strands of an optical fiber is formed in the optical cable, and a worker in the remote place applies a disturbance of a popping sound to an optical cable to be identified. The disturbance applied by the worker is detected and regenerated in the form of a sound. The optical cable can be easily identified by comparing the regenerated signal and the disturbed signal in the remote place to thereby prevent an incorrect optical cable from being cut. In addition, the optical cable can be more precisely identified by selecting a different light detecting frequency component in accordance with environment conditions.

The invention discloses a noise suppression method and device and a mobile device. The method comprises the following steps: determining real-time position of the mobile device in a working environment; obtaining a fixed position of a noise source in the working environment; determining a relative position of the noise source with respect to the mobile device according to the real-time position and the fixed position; and controlling the mobile device to carry out suppression on a noise signal of the noise source according to the relative position. Therefore, the mobile device can eliminate the noise signal of the fixed noise source very well.

The invention discloses a target detection system and method based on dynamic utilization of a pyroelectric infrared sensor. The target detection system comprises a pyroelectric infrared sensor, a main controller connected with the pyroelectric infrared sensor, and an infrared collecting hardware processing unite respectively connected with the pyroelectric infrared sensor and the main controller. The target detection system also comprises a rotary table module and a signal processing module, wherein the rotary table module is arranged on the lower end of the pyroelectric infrared sensor, and is matched with the pyroelectric infrared sensor, and the signal processing module is arranged in the main controller. The target detection system and method based on the dynamic utilization of the pyroelectric infrared sensor in the invention can be used for realizing the detection of target signals by virtue of a larger vision angle and a positive working mode, and have high detection sensitivity and better application prospect in the detection field of the target signals.

A system for monitoring heart and lung functions comprises an audio signal sensing unit, an audio signal processing unit, an electrocardiogram signal sensing unit, an electrocardiogram signal processing unit, and a microprocessor unit. The audio signal sensing unit senses audio signals, including a heart sound and a lung sound. The audio signal processing unit is connected to the audio signal sensing unit and processes the audio signals to obtain the heart sound and the lung sound. The electrocardiogram signal sensing unit senses an electrocardiogram signal. The electrocardiogram signal processing unit is connected to the electrocardiogram signal sensing unit and processes the electrocardiogram signal. The microprocessor unit is connected to the audio signal processing unit, the electrocardiogram signal processing unit and a computer host, and processes the heart sound, the lung sound and the electrocardiogram signal to be data that can be identified by the computer host.

The invention relates to an automatic control system for monitoring the film thickness of optical filming. A light projecting device is directly connected with a light entrance port of a film coating machine or is connected with an optical splitter and a reflector chest for projecting light generated by the light projecting device into the film coating machine, a light exit portal of the film coating machine is connected with a light transporting element which is connected with a light entrance port of the optical splitter, a light exit portal of the optical splitter is further connected with a light entrance port of a photoelectric signal changeover gear, or an exit ray of the film coating machine reflects light into the photoelectric signal changeover gear through the reflector chest, an electrical signal output end of the photoelectric signal changeover gear is connected with a computer through a signal processing unit. The invention further relates to an automatic control method for monitoring the film thickness. The invention improves the stability and accuracy of monitoring the film thickness and meets the requirement of filming with high degree of accuracy.

The invention provides a depth image restoration algorithm. According to the algorithm, morphological filtering is combined with a bilateral filtering algorithm to process a depth image, basic algorithms in morphology are used to fill cavities in the depth image, and bilateral filtering is used to smooth the image. Different types of noise signals included in a target object are eliminated by utilizing different structural elements. The algorithm comprises the following steps that 1) expansion, corrosion, opening operation and closing operation formulas of the morphological algorithm are established; 2) a morphological filter is established; 3) structural elements are selected; and 4) a bilateral filtering criterion is established.

The invention relates to a manual field source frequency domain full-gradient electromagnetic measuring method. The method includes the steps that measuring lines and measuring points are arranged in a measuring area; a manual field source emits electromagnetic waves with different frequencies, and measurement of electromagnetic field signals corresponding to the emission frequencies of all the measuring points in the measuring area is completed through a measuring unit; electromagnetic field gradient signals of the related measuring points are obtained through difference; electromagnetic gradient information of underground media is inverted according to the measured electromagnetic field gradient signals, and accordingly an underground target body can be explored. Compared with the prior art, same noise signals in adjacent measuring point electric field signals are eliminated, the anti-jamming capability of collecting units is enhanced, the signal to noise ratio is improved, the requirement for emission power of the manual field source is lowered, the resolving power higher than that of an electric field is achieved, the boundary of a geologic body can be delineated, spatial distribution details of the geologic body are reflected, the sensitiveness to deep electrical property change is good, field measuring efficiency is improved, construction cost is lowered, and explanatory accuracy to geology abnormity is improved.

The invention relates to the technical field of speech processing and specifically provides a method and a device for estimating a noise power spectral density of a speech signal. The method comprisesthe following steps: extracting a time context window feature from a noise speech signal, inputting the time context window feature to a pre-trained speech existence probability estimator which outputs an estimated speech existence probability corresponding to a current time frame; correcting the estimated speech existence probability according to a Bayes rule to determine a speech existence probability; determining the noise power spectral density corresponding to the corresponding time frame based on the speech existence probability according to a recursive smoothing formula. Through the technical scheme of the invention, the estimation accuracy of the noise power spectral density is improved in the case of small computing resources, thereby being beneficial to effectively eliminating noise signals, minimizing distortion in the speech processing process and improving speech enhancement performance.

The invention discloses a magnetoelectric encoder self correction method based on permanent magnet synchronous motor sensorless speed control, which relates to the field of magnetoelectric encoder error correction. In order to eliminate angle calculation errors of the magnetoelectric encoder, an angle error compensation method based on permanent magnet synchronous motor sensorless control is put forward. In order to acquire a high-precision virtual angle value, a sensorless speed control method for the permanent magnet synchronous motor is used. According to the deviation between the high-precision virtual angle value and a magnetoelectric encoder angle value, angle compensation is carried out. In order to eliminate noise signals in an angle compensation table and ensure the precision of the compensation table, an oversampling linear interpolation method is put forward. The method is technically characterized by comprising acquisition of a magnetoelectric encoder output angle value, making of the angle compensation table and table making by oversampling linear interpolation.

The invention relates to the field of rotating equipment fault diagnosis, and discloses a rotating equipment state abnormality judgment method and system. The method comprises: A) collecting a rotating equipment vibration signal, and carrying out the dual-tree complex wavelet packet transformation of the rotating equipment vibration signal; B) calculating the frequency band energy of the vibrationcomponent signal of the rotating equipment; C) processing the characteristic parameter matrix by adopting a principal component analysis method to obtain a dimension-reduced characteristic parametermatrix; D) obtaining a rotating equipment vibration signal sample state evaluation value time sequence; and E) establishing a rotating equipment state abnormity alarm mechanism, and predicting the rotating equipment state evaluation value by adopting an LSTM method. The rotating equipment state prediction and evaluation are realized, the rotating equipment abnormity early warning can be realized,and the false alarm rate of rotating equipment abnormity judgment is reduced.

The present invention relates to multi-domain collaborative multi-mode compatible wireless communication method that belongs to wireless communication technical field. Three modules of radio frequency, intermediate frequency and baseband accomplish recognition and switch of communication mode on a software radio platform. After the antenna receives signals, then processes by the radio frequency, the intermediate frequency and the baseband in sequence and displays at last. The radio frequency, intermediate frequency and baseband detects signals of their processing domain respectively and the detecting results being sent to control and judgment module, and sends configuration information to the radio frequency, intermediate frequency and baseband simultaneity. The intermediate frequency module and baseband module load corresponding waveform from the waveform elements library according to configured information for accomplishing mode switch. The invention is provided with advantages of three modules accomplish the detection process collaboratively and switch of the mode achieves the objective of accurate detection and intelligent switch via automatic reload.

A sub-pixel disparity cost volume which contains initial cost values of dissimilarity calculated between the pixel values on a standard image of a plurality of parallax images and the interpolated sub-pixel values on the counterpart image or images other than said standard image is prepared for a plurality of parallax images of objects in a three-dimensional structure composed of horizontal, vertical and disparity axes. Noise signals on the calculated cost values in the sub-pixel disparity cost volume are eliminated by using an edge-preserving filter which allocates bigger weights between two cost values whose pixel coordinates have similar pixel values on the standard image, for preserving edges or boundaries of the objects. A sub-pixel disparity is selected, which gives the minimum cost value in the specific disparity range around a previously-given initial pixel-wise or sub-pixel disparity at each pixel coordinate on the standard image. Thus the distance to the objects is estimated from the computed disparity. Precise disparity can be computed by preparing a sub-pixel disparity cost volume and then computing the sub-pixel resolution disparity. Further, the necessary processing time can be reduced by parallel computation manner.

Provided is a digital receiver for use in a wireless communication transmitting / receiving system. The digital receiver oversamples a desired-band signal during performing a subsampling operation for converting an RF signal into an IF signal or DC signal so that an unwanted signal is also converted into a digital signal, and then, eliminated in a digital block.

The invention relates to maximal posterior probability decoding and 3D block matching filtering based video de-noising method. A video is received and obtained via a prior knowledge enhanced mobile video broadcast transmission system. The de-noising method comprises the following steps that S1) a received video signal is converted into an estimated mathematical relation of the minimum mean squarederror of noise and the video signal via a space vector threshold, a maximal posterior probability decoding method is used to obtain an estimated value of the video signal, and the video signal from which part of Gaussian noise is removed is obtained; and S2) 3D block matching filtering is carried out on the video signal obtained in the step S1 to eliminate Gaussian noise further, and a final de-noised video is obtained. Compared with the prior art, the peak signal to noise ratio is higher, a better visual experience can be obtained subjectively, detail part of the video image can be remainedin a battery way, and smooth filtering is realized.

The invention provides an earphone and a noise reducing method thereof. The earphone comprises two ear plugs and earphone lines connected with the ear plugs, wherein the ear plugs comprise shells and sounding units accommodated in the shells; noise reducing microphones are arranged in the two ear plugs respectively; a call microphone is fixed to one of the earphone lines; the call microphone and the two noise reducing microphones are used for performing uplink noise reduction on the earphone; and the two noise reduction microphones are used for performing downlink noise reduction on the earphone. Through adoption of the earphone and the noise reducing method thereof, a heart-shaped wave beam can be formed in front of the head of a user through the three microphones, so that the influence of external noise is lowered, and the call quality of the earphone is improved.

The invention provides a wirelessly distributed tunnel prediction detecting device, a wirelessly distributed tunnel prediction detecting system and a wirelessly distributed tunnel prediction detecting method. The wirelessly distributed tunnel prediction detecting device comprises a control operation terminal, wireless data acquisition units, earthquake reflected wave receiving devices and earthquake wave excitation devices, wherein output ends of the earthquake wave excitation devices and output ends of the earthquake reflected wave receiving devices are respectively connected with input ends of the wireless data acquisition units, and output ends of the wireless data acquisition units are connected with an input end of the control operation terminal. Via a wireless distributed instrument (24-bit analog to digital) and a hypocenter hammering working mode, high-precision signals can be collected conveniently and quickly, and safety in working can be guaranteed; via a testing mode of a three-mode two-side hammering observation system, elastic wave field data in a three-dimensional space can be effectively obtained to image high-precision three-dimensional image; furthermore, the wirelessly distributed tunnel prediction detecting device has the advantages of simplified structure, low energy consumption, low production cost, simple distribution, high detecting precision, high measuring efficiency and the like.

The invention discloses a method and a device for observing the conformation transition of macromolecules and the biochemical reaction between target molecules and probe molecules. The method comprises the steps as follows: the macromolecules and one or more of the probe molecules which are different or identical are arranged on single side surfaces of various micro-cantilevers in a micro-cantilever array; the incident parallel rays emitted from a light source reach the micro-cantilevers, and the reflection rays are received by an optical receiver assembly to form an array of reflection ray spots corresponding to the micro-cantilevers one by one; when the conformation transition of macromolecules occurs or the combination of the probe molecules and the target molecules present in a solution to be tested occurs, the micro-cantilevers bend and deform with the deflection of the reflection rays, and accordingly, the positions of the corresponding reflection ray spots change; and according to the position change and the displacement of the reflection ray spots corresponding to each micro-cantilever, the conformation transition of the macromolecules can be learned, whether the target molecules corresponding to the probe molecules are present or absent in the solution to be tested can be determined, and the concentration of the target molecules present in the solution can be obtained. The invention can realize the simultaneous observation of the displacement signals of a plurality of micro-cantilevers, and at the same time eliminate the noise signals due to the variation of the refraction index and the change of the intensity of a light source. The invention has the advantages that the effects of vagabond rays can be greatly reduced by controlling the measurement of the light beam polarization state, and the measurement precision is improved.

A noise elimination method of the present invention includes the steps of: detecting a zigzag signal in which a differential value between signal levels of two pixels which are adjacent to each other along a horizontal pixel direction or a vertical pixel direction alternately takes a positive value and a negative value (ST2); determining whether or not the zigzag signal forms a stripe pattern (ST3); regarding the zigzag signal as a normal image signal when the zigzag signal is determined as forming a stripe pattern (ST4); regarding the zigzag signal as a noise signal and extracting the same when the zigzag signal is determined as not forming a stripe pattern (ST5); and filtering this noise signal (ST6).

The invention relates to a robot which comprises an emission source, a photosensitive component and a processing component, wherein the emission source is used for emitting a detection light; the photosensitive component is used for sensing a reflecting light which is formed on and returned from an object surface by the detection light; the processing component is used for recognizing the interference light which is formed by an interference object close to a practically detected object and is contained in the reflecting light and eliminating a noise signal formed by the interference light, so as to prevent the robot from abnormally acting under the interference of the interference light. According to the technical scheme, the interference light can be accurately recognized, the corresponding noise signal can be timely eliminated, the normal walking of the robot can be ensured and the abnormal action can be avoided.

When a conventional optical receiver circuit is used, it is difficult to achieve noise reduction or provide a multichannel capability due to a considerable circuit area increase. Disclosed is an amplifier for optical communications that includes a CMOS inverter, which has a PMOS transistor and an NMOS transistor; an input terminal, which inputs a signal into the CMOS inverter; an output terminal, which outputs a signal from the CMOS inverter; a power supply, which is connected to the CMOS inverter; a first element and a second element, which are respectively connected to the CMOS inverter; and two types of power supply paths, which are in opposite phase to each other.