198results 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.

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.

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 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 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 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.

A semiconductor memory device performs a refresh operation sequentially for a word line selected based on a row address when receiving a refresh request, and comprises: a memory cell array divided into M banks; a refresh counter for sequentially outputting a count value corresponding to the word line to be refreshed in response to the refresh request; and a row address converter for supplying row addresses different from one anther in at lest two banks among the M banks by converting the count value. In the semiconductor memory device, a predetermined number of selected word lines are refreshed at the same time in the banks in accordance with different patterns from one another, and the maximum value of the total number of the selected word lines refreshed at the same time for all the M banks is controlled to be lower than 2M.