200results about How to "Suppression of noise effects" patented technology

A control device for a rotating electrical machine, which is able to reduce a tracking delay of an actual output torque and actual currents with respect to a fluctuating torque command and fluctuating current commands and to reduce steady state deviations, is obtained. The control device includes a torque current computing unit; an actual current computing unit; a current feedback control unit; and a voltage control unit that controls voltages on the basis of the two-phase voltage commands. The torque command includes a fluctuation cancellation torque command for cancelling transmission torque fluctuations transmitted from the internal combustion engine, and the current feedback control unit includes a harmonic controller that calculates the two-phase voltage commands by using a characteristic of a transfer function corresponding to a periodic function of a frequency of the transmission torque fluctuations.

An engine ECU executes a program including a step of calculating intensity values LOG(V), a step of detecting vibration waveforms, a step of calculating a correlation coefficient K based on vibration waveforms, a step of preparing frequency distribution of intensity values LOG(V) smaller than a threshold V(1) and intensity values LOG(V) in an ignition cycle where correlation coefficient K is larger than a threshold K(1), a step of calculating a knock determination level V(KD) based on a median V(50) and a standard deviation σ of intensity values LOG(V), and a step of counting the number of intensity values LOG(V) larger than knock determination level V(KD) as the number of times that knocking has occurred.

The invention discloses a relative height measuring device which comprises a host computer, a microprocessor module, as well as an array type gas pressure sensor module, a power supply module, a liquid crystal display module and a serial port communication module which are respectively connected with the microprocessor module. A measuring method employing the relative height measuring device comprises the following steps: accomplishing a genetic algorithm optimized BP (Back Propagation) neural network in a host computer, transmitting obtained weights, thresholds and relative height calculation equations to the microprocessor module, acquiring gas pressure and temperature through the array type gas pressure sensor module and transmitting the gas pressure and temperature to the microprocessor module, processing the received air pressure and temperature through the microprocessor module so as to obtain the relative height, and transmitting the result to the liquid crystal display module to be displayed and stored in the host computer. With the combination of software and hardware, noise can be suppressed, useful signals can be recovered, enhanced and extracted, and the great precision and stability are achieved.

A control apparatus controlling a rotating machine includes a signal output unit that outputs an excitation signal to a resolver used for detecting a rotational angle of the rotating machine; a demodulation unit that demodulate a signal related to the rotational angle based on a detection of a modulated signal and the excitation signal so as to output a demodulated signal; a filter that eliminates higher harmonics in the demodulated signal outputted by the demodulation unit so as to output a calculated angle of the rotational angle; and an operating unit that controls a switching element included in a DC-AC conversion circuit to be ON and OFF based on the calculated angle of the rotational angle outputted by the filter, so as to control the rotating machine with an output voltage of the DC-AC conversion circuit supplied to the rotating machine.

The invention discloses a blue light filter film for visible light communication, which is structurally characterized in that a wide-pass band interference cutoff filter film, a high reflection film and an antireflection film are arranged on a substrate sequentially. The blue light filter film can greatly reduce noises formed due to a reason that visible illuminating light and background radiation enter a detector. Moreover, since the edge of the blue light filter film for blue light signal penetration and visible illuminating light cutoff is steep and accurate, when the visible illuminating light and near-infrared interference are filtered to an utmost extent, the loss of the blue light signals is minimum, the efficiency and the signal-to-noise ratio of the visible light communication are remarkably improved, and the blue light filter film is very beneficial to the development and the application of fields such as the visible light communication.

The invention relates to a mechanical arm tail-end pose error correction method based on elliptic characteristics. The method comprises the steps of obtaining an image of a round-mouth target tank, extracting a target ellipse from the image, determining the relative position and axial relation between a tank mouth of the round-mouth target tank and an actuator according to the elliptic characteristics of the target ellipse, determining a current pose of the actuator, joint angles of all joints of a mechanical arm and the pose deviation value of the actuator according to the relative positions,the axial relation and configuration constraint of the mechanical arm, and adjusting the mechanical arm according to the pose deviation value till the pose deviation value of the actuator is smallerthan a preset value. By means of the method, the problems that single elliptic characteristic positioning has ambiguity and axial rotation poses cannot be determined are solved, accurate guidance canbe provided for the mechanical arm to collect samples and put the samples into the target tank, and control errors caused by local flexibility or joint clearance are corrected. The invention further provides a mechanical arm tail-end pose error correction system based on the elliptic characteristics.

The quench of the superconducting coil is desired to be detected early while suppressing the influences of the noise generated in charge and discharge of the superconducting coil. A superconducting coil quench detection apparatus detects the balance voltage of a bridge circuit formed by the superconducting coil and a resistor to output it as a quench detection signal for detecting the quench thereof. A signal indicating the hold period where the energy accumulated in the superconducting coil is held is generated. A signal included in the hold period is extracted from the quench detection signal. The quench of the superconducting coil is detected based on the extracted signal.

An indicator position detecting device and method are provided, which allow accurate position detection without the influence of noise in detection of the position of an indicator (e.g., a finger, a stylus pen) by a capacitive coupling system. To a conductor pattern in which plural conductors for signal transmission and plural conductors for signal reception intersect with each other, signals with frequencies different from each other are simultaneously supplied to the plural conductors on the transmission side, and signals of respective frequencies corresponding to the plural signals with the different frequencies are detected on the reception side, to thereby detect the position of an indicator on the conductor pattern. The amount of noise of each of the detected frequencies is detected. Any frequency that cannot be properly detected due to noise is switched to another frequency, and detection is carried out based on the newly selected frequency.

The invention discloses a brain magnetic resonance image super-voxel generating method based on the prior knowledge. The method comprises the following steps: taking the weight of the space distance, the pixel intensity and the prior knowledge as the final distance measurement based on a K-means clustering algorithm, clustering the image pixel, and segmenting the brain MRI image into a series of uniform super-voxels capable of preferably fitting with the image edge. By integrating with the prior knowledges of different tissues of the brain, a new measure operator is designed, a robust super-voxel generating method is constructed to realize the super-voxel segmentation of the brain magnetic resonance image, and the influence on the segmentation result by the image noise can be reduced. Compared with the known super-voxel generating method, the method disclosed by the invention has high efficiency, higher boundary fitting degree, and is capable of preferably inhibiting the influence of the noise.

The invention discloses a diffracted wave field separation method based on pre-stack gaussian beam depth migration. High-quality pre-stack earthquake data serve as input, and a dip channel set is output through pre-stack gaussian beam depth migration. By means of difference of a reflection wave and a diffracted wave in a dip domain and by the adoption of similar spectrum analysis, energy of a reflection vertex is removed, energy of the diffracted wave is extracted, imaging is carried out independently, and a cave and fracture reservoir is better recognized. According to accurate description of a secondary carbonate rock cave type reservoir under a complex geological structure and with the combination of the gaussian beam earthquake migration technology, noise influences of complex structure imaging is effectively prevented, imaging precision of a diffracted target is improved, and accordingly the method serves high-precision carbonate rock cave reservoir description under complex medium conditions, and technical theories of diffracted wave field separation are improved and developed.

The invention provides a measurement method for the pose of a wind tunnel model combining stereoscopic vision with a gyroscope, belongs to the field of computer vision, and relates to a high-precision measurement method for the pose of a thrown object model in a complex wind tunnel environment. A mode that stereoscopic vision is combined with the gyroscope is adopted in the measurement method to achieve high-precision measurement of the pose of the thrown object model in the wind tunnel environment. The gyroscope is adopted to measure information of rolling angles of the model, binary rolling angle values are directly displayed by means of coded mark points, and sequence image acquisition is carried out on the coded mark points of the thrown object model in a movement field through a left high-speed camera and a right high-speed camera; after picture processing is conducted, pitching, rolling and position information of the thrown object model is obtained according to position information of the coded mark points, and rolling parameters of the model are obtained through binary decoding of the coded mark points. The method is simple and reliable, the problem that measured data are difficult to transmit in the wind tunnel environment is effectively solved, influences of noise are effectively suppressed through the high-brightness mark points, image acquisition quality is improved, and pose measurement precision is improved.

The invention discloses a fence vibration intrusion positioning and mode recognition method based on a distributed optical fiber system. The method comprises a step of arranging distributed optical fibers on a fence, obtaining a vibration signal of the fence and storing vibration data, a step of accumulating the vibration data of all detection points on the fence into a time-space two-dimensionalmatrix A(x, t), filtering the space-time two-dimensional matrix by utilizing a Sobel operator, counting the times that the position of each detection point is larger than a set threshold value M in atime period after filtering, taking the detection point as a suspicious invasion point if the times that the position of each detection point exceeds the set threshold value M is larger than a set threshold value N and storing original vibration signals of all suspicious invasion points, a step of obtaining wavelet time-frequency graphs of the original vibration signals of all the suspicious invasion points, and a step of inputting the wavelet time-frequency graphs after the suspicious intrusion points are scaled into a convolutional neural network pre-trained by utilizing known event data inadvance. According to the method, the position coordinates and the event type of an intrusion event can be accurately identified, and meanwhile, the requirement of relatively good real-time performance is met.

To provide a tilt angle sensor that is capable of detecting acceleration, a tilt angle, and the like of a device to which the tilt sensor angle is mounted, and also capable of reducing the size and the cost with a simple structure. The tilt angle sensor comprises: a spring member having a fixed end a free end that has a flexibility to be bent at least in one direction; a magnetic field generating device for generating a magnetic field, which is mounted at the free end of the spring member; a magnetic field detecting device provided by facing the magnetic field generating device for detecting a direction of the magnetic field generated by the magnetic field generating device; and a damping device for giving a damping force to a bending action of the spring member.

A radiation detector is provided that has no fluctuations in detection sensitivity and is capable of suppressing the influence of the noise emitted from a light source. In the radiation detector in the present invention, a light emitting unit applies light to the end face of a flat light guide. On receiving the light, the flat light guide emits flat light from its surface toward an active matrix substrate. The light is led to a semiconductor thick film after passing through the active matrix substrate. The noise emitted from the light emitting unit to the active matrix substrate or the semiconductor thick film can be blocked by an electromagnetic shield. An incident radiation to the semiconductor thick film in this condition can be detected while the effect of the noise emitted from the light emitting unit is suppressed, and fluctuations in radiation sensitivity do not occur.

A state control circuit gives an inactive state control signal to a CPU and an active state control signal to a data transmission circuit. In response to this, the CPU goes into the halt state and the data transmission circuit goes into the receive state. When receive processing is completed, the state control circuit gives an active state control signal to the CPU. In response to this, the CPU restores from the halt state to the operative state. The CPU gives an instruction signal to the state control circuit. The state control circuit gives an inactive state control signal to the data transmission circuit. In response to this, the data transmission circuit goes into the halt state.

The invention discloses a local ternary pattern texture feature extraction method based on mean sampling. First, the dimension of a local ternary coding sequence of all possible values is reduced preliminarily based on rotation invariance and is further reduced according to the dimension reduction conditions, and a pattern mapping table containing the corresponding relationship between original pattern number and final pattern number is built. Neighborhood circular symmetry average sampling is carried out on each non-edge pixel of a texture image of which the features are to be extracted, effective coding points are acquired from sampling points and coded to get a local ternary coding sequence of the non-edge pixels and corresponding original pattern numbers, corresponding final patterns are looked for in the pattern mapping table, the non-edge pixels covered by each final pattern are counted in the texture image, and a feature vector of the texture image is constructed. According to the invention, the noise is controlled and the accuracy of texture features is improved through mean sampling, and the dimension of the feature vector is controlled effectively through a dimension reduction method.

The brightness characteristic detection circuit 1 divides the frame 21 into a plurality of pixel blocks 22 , detects average brightness characteristics of respective pixel blocks, and obtains the maximum or minimum brightness value of input image data from the average brightness characteristics of the pixel blocks. Correcting input image data with correction parameters set in accordance with the detected maximum or minimum brightness value generates display data. Even if a noise is incorporated in the image data, the influence of the noise is suppressed and the image data may be processed accurately.

The invention relates to a novel estimation method for an orthogonal frequency-division multiplexing receiving channel combining a time domain and a frequency domain. The method comprises the following steps that (1) frame structural design is carried out on a sending end, wherein leader characters for channel estimation and pilot frequency insertion are set at the sending end; (2) time domain channel estimation balancing is carried out at a receiving end, wherein the time domain channel estimation balancing is carried out by using the leader characters; (3) frequency domain channel estimation balancing is carried out, and residual frequency offset is corrected, wherein the frequency domain channel estimation balancing is carried out by using pilot frequency information. Through the method, sent information amount is improved, influences of noise can be restricted better, and performance of a system is improved; when the frequency domain channel estimation balancing is carried out by using pilot frequencies, division channel balancing is achieved by using multiplication channel balancing, resources are saved, and calculating time is reduced when hardware is achieved; the channel estimation balancing can be achieved correctly under a low SNR and multiple channels, and the novel estimation method for the orthogonal frequency-division multiplexing receiving channel combining the time domain and the frequency domain has strong application adaptability.

A motor controller wherein a superimposition signal generating section outputs a superimposition signal idh of repetitive waveform such as a triangular wave or a sine wave during motor speed control, a d-axis current command generating section adds the superimposition signal idh to a d-axis current command idc*0 to output a d-axis current command idc*, an axis offset detection section receives the d-axis current command idc* and a q-axis current command iqc* to output an axis offset angle estimate deltatheta', an axis offset correction section receives the axis offset angle estimate deltatheta' and an actually detected position thetam to output a corrected position thetam'. The axis offset can be detected and corrected by computation at a given time in real time during normal operation.

A digital-to-analog (DA) converter includes: an analog output section that generates an output current corresponding to a value of a digital signal in response to a bias voltage and outputs an analog signal which is obtained from the output current by current-to-voltage conversion; a current source; a current control section that converts a current from the current source to a voltage signal and outputs the voltage signal as the bias voltage; and a sample and hold circuit section that samples and holds the bias voltage from the current control section and supplies the held bias voltage to the analog output section.

The invention relates to a deconvolution method which suppresses noise and takes reflection coefficient recovery as a target while improving earthquake recording resolution, and especially relates to a time-varying wavelet based deconvolution method for frequency division processing for the purpose of solving the problems of reduced signal-to-noise ratio and unstable solution despite resolution improvement by use of a conventional deconvolution method. The method comprises the following steps: extracting time-varying wavelets in an earthquake recording by use of a well control multi-channel statistical autocorrelation method; extracting high and low frequency operators according to well data, for constructing high and low frequency information corresponding to an original earthquake recording as constraint conditions; performing diffusion filtering processing on frequency division information; and performing simultaneous deconvolution on the original earthquake recording and the high and low frequency information. By using the method provided by the invention, earthquake data and well logging data are integratedly combined, uncontrollable deconvolution factors extracted by use of a conventional deconvolution method can be avoided, resolution is effectively improved while the noise is suppressed, the attenuation of earthquake signals is taken into consideration, and the time domain point spectrum whitening function is realized.

An obstacle detection device has detection units, each of which performs a signal transmission-reception operation for sending detection signal to a detection area allotted thereto and receiving reflection signal from the detection area, an operation control unit for controlling the detection unit so that the detection unit performs the signal transmission-reception operation responding to at least one of a plurality of kinds of operation timing signals repeated at a predetermined periodicity, and a determination unit which counts a number of continuous reception times of the reflection signal of the detection unit and determines an obstacle detection in the detection area when the number of the continuous reception times thereof is larger than or equal to a predetermined value. The transmission-reception operation of the detection unit which commenced to receive the reflection signal is provided by the operation control unit with the operation timing signal having a periodicity shorter than the predetermined periodicity.

A face super resolution rebuilding method based on principal component sparse expression comprises the following steps: enabling an input low resolution facial image, an input low resolution facial sample image and an input high resolution facial sample image to be respectively divided into image blocks which are mutually overlapped, conducting principal component decomposition for each position image block of the images, obtaining a principal component expression base, conducting sparse restraining projection for each image block of the input low resolution facial image according to the corresponding principal component expression base of an image block in a sample database, converting an obtained principal component sparse expression coefficient into a sample expression space, replacing each position block of the low resolution facial image by the corresponding position block of the high resolution facial image, combining and joining the image blocks with high resolution together, and obtaining an output high resolution image. According to the face super resolution rebuilding method based on the principal component sparse expression, the principal component sparse expression of the position blocks is provided, inner information and noise information of the input image blocks are distinguished, expression accuracy of the image blocks under noise environment is improved, and impersonal image quality of the high resolution rebuilding image is improved.

An image pickup apparatus including: a plurality of photoelectric conversion elements for photoelectrically converting light from an object, a first output line to which signals from the plurality of photoelectric conversion elements are successively outputted, a plurality of first switches connected to the first output line to output the signals from the plurality of photoelectric conversion elements to the first output line, a second output line to which a reference signal is supplied, a plurality of second switches connected to the second output line to supply the reference signal to the second output line, a scanning circuit which controls the plurality of first switches and the plurality of second switches, and a differential circuit which obtains a difference between the signal from the first output line and the signal from the second output line.

The invention discloses a radar multi-target tracking PHD implementation method, and the method specifically comprises the following steps: S1, calculating the state prediction estimation of each target at the k moment based on the states of a plurality of tracking targets at the k-1 moment; S2, converting the radar measurement data at the moment k into target state likelihood data under a Cartesian coordinate system; S3, performing product hybrid filtering on the Gaussian component predicted in the step 1 and target state likelihood data; S4, calculating Gaussian components and final weightsof all targets in the radar tracking area; S5, abandoning the Gaussian components of which the final weights are smaller than a pruning threshold value, and combining the Gaussian components of whichthe distribution distances are smaller than a combination threshold value; S6, taking the weight sum of all Gaussian components as the number of tracking targets, taking the mean value of the Gaussiancomponents with the weight greater than 0.5 as the target state, and iteratively carrying out the next round of filtering until the tracking is finished; the data fusion process is simple, the anti-clutter performance is excellent, the state estimation precision of the tracking target is high, and the target number estimation is accurate.

The invention discloses a method and a system for identifying a signal modulation mode based on a convolutional neural network, and belongs to the technical field of signal detection and identification. The method comprises the following steps: adding noise to one of two paths of noiseless signals sent by a signal source; generating a high-order cumulant and a two-dimensional matrix as training labels, and generating a high-order cumulant and a two-dimensional matrix as data input quantities; obtaining a plurality of de-noising feature models, and generating an identification model; and obtaining a signal sent by the signal source, extracting I / Q information, truncating the high-order cumulant of the I / Q information, generating a two-dimensional matrix, sending the two-dimensional matrix into the identification model to carry out modulation identification on the signal, and outputting a signal modulation mode. According to the method, the generalization capability and the identification accuracy of the classifier are improved. The number of actually received signal samples is reduced, the influence of noise is effectively inhibited by using unsupervised de-noising self-coding, andthe accuracy of a final identification model is improved.

The invention provides an optical fiber surface plasma resonance (SPR) sensor, a detection system and a detection method. The optical fiber SPR sensor comprises an all-solid-state refractive index guiding type photonic crystal fiber with a planar wall and a curved side wall, the cross section of the all-solid-state refractive index guiding type photonic crystal fiber is D-shaped, and the planar wall is provided with a sensing layer. A sensing plane is prepared on the surface of the D-shaped photonic crystal fiber, the excitation strength of the SPR can be regulated by controlling the distance between the SPR sensing plane and an optical fiber core, and the phase sensitivity measurement can be realized by utilizing horizontal and perpendicular component interference of electromagnetic wave. The optical fiber surface plasma resonance detection device is simple and reliable in preparation technique of the sensor, high in sensitivity, strong in anti-interference capability, and better in resolution compared with the traditional wavelength demodulation mode, thus having strong application values.

The invention discloses a multi focus image fusion method based on NSCT scale product. The method comprises the steps that non-sampling contourlet transform (NSCT) is used to decompose a multi focus image; laplace energy and the fusion rule of a low frequency sub-band are used; scale product, local laplace energy and the fusion rule of a high frequency direction sub-band are used; and NSCT inverse operation is used to acquire a fusion image. According to an experiment results, the algorithm can fully extract source image information and can inject the information into the fusion image; the influence of noise can be effectively restrained; and the fusion effect is better than the fusion effects of other methods.