40results about How to "Suppress noise components" patented technology

Systems and methods for controlling adaptivity of noise cancellation are presented. One or more audio signals are received by one or more corresponding microphones. The one or more signals may be decomposed into frequency sub-bands. Noise cancellation consistent with identified adaptation constraints is performed on the one or more audio signals. The one or more audio signals may then be reconstructed from the frequency sub-bands and outputted via an output device.

The invention belongs to the technical field of wireless communication, in particular to a synchronous method of an orthogonal frequency division multiplexing-ultra wideband (OFDM-UWB) system based on peak detection. The method improves the existing method of cross correlation, delay autocorrelation and accumulation operation and uses standard matched filtering operation to replace the accumulation operation, which not only achieves accumulation of multi-path channel energy but also inhibits noise component during the process of collecting energy, is more beneficial to capturing signals, and can correctly achieve timing synchronization of signals by searching the peak positions at the same time; and on the basis, a synchronous code sequence provided by ECMA-368 is used to achieve frame synchronization so as to realize frequency deviation evaluation. Compared with the traditional ultra wideband synchronization method, the method provided by the invention has universality and accuracy.

The present invention relates to mobile communication field, discloses a method as well as an apparatus for processing channel estimating result based on transform-domain, and a receiver. The method includes: obtaining channel estimating result; replacing the channel estimating result of the subcarrier with original channel parameter of the subcarrier at the borderline guiding-frequency position; correcting the channel estimating result of the subcarrier at the borderline guiding-frequency position; calculating and obtaining the channel estimating result of non guiding-frequency position subcarrier between the borderline guiding-frequency positions using interpolation according to the correcting result. According to the method, the present invention provides an apparatus for processing the channel estimating result based on transform-domain and a receiver. The present invention prevents the channel estimating result around the guiding-frequency position from aberrance, further improves the veracity of the channel estimating result. In addition, the present invention restraints noise heft larding within useful signal, so as to improve the performance of channel estimating result.

A final-stage power amplification transistor is formed of unit transistors arranged in a mixed manner in a region in which the final output amplification transistors for a multi-band power amplifier is formed. Furthermore, an inductance element is connected between output signal lines to which the final output stage transistors are coupled. Thus, the final-stage transistors in a dual band power amplifier can be made free from current concentration due to heat generation without impairing inter-band isolation.

An apparatus and a method of reducing a noise component existed in a surrounding part of an image photographed in an image sensor. According to an aspect of the present invention, an apparatus differentially reducing a noise of an image according to an area of the image includes a filter area selecting unit, selecting a filter area including a plurality of adjacent pixels based on an object pixel; and a noise reducing unit, computing pixel data of the object by using pixel data of the plurality of adjacent pixels in the filter area, whereas the filter area selecting unit determines the size of the filter area according to the distance between the object pixel and a center pixel of the image. The present invention can prevent a noise component of a surrounding part from being amplified by using a different low pass filter in a center part and a surrounding part of an image and can acquire the resolution and quality of the desired image.

A system and a method for automobile noise suppression in an automobile are provided. The system comprises a processor and a noise suppression device. The noise suppression device is configured for receiving a voice signal, which includes a speech signal and a noise signal. The processor is configured for determining an adjusting parameter set according to an automobile speed signal corresponding to a speed of the automobile. The noise suppression device can suppress the noise signal according to the adjusting parameter set, whereby enhancing the voice quality.

The invention discloses a bearing fault early warning and diagnosis method based on improved MSET and frequency spectrum characteristics. The method comprises the following steps: obtaining an original vibration signal; obtaining a fault characteristic frequency, and determining an actual frequency range according to the variable quantity of the fault characteristic frequency; carrying out envelope spectrum analysis: filtering the original vibration signal by using a fast spectrum kurtosis and band-pass filtering method, analyzing the filtered vibration signal to obtain an envelope spectrum, and further obtaining monitoring parameters; carrying out improved MSET modeling: establishing a historical memory matrix, establishing an MSET model by using the obtained historical memory matrix, and calculating an estimation vector of a vibration signal obtained in real time and a residual error of each monitoring parameter; carrying out fault early warning: constructing a similarity model by using the overall deviation degree and the residual deviation degree, calculating a similarity value of a historical memory matrix, constructing a monitoring threshold value, and performing fault early warning decision making; and carrying out fault diagnosis: constructing a fault contribution rate model by using the residual contribution degree and the frequency amplitude contribution degree for the signal after the early warning is sent out, and diagnosing the fault part of the bearing.

[Problem] To provide an electric power steering device capable of reducing a sense of discomfort due to noise when steering or when executing low-speed steering, and capable of achieving smooth steering without phase delay during high-speed steering. [Solution] An electric power steering device includes a torque control unit that computes a current command value on the basis of at least a steering torque, and assist-controls a steering system by driving a motor using a current control system based on the current command value. The electric power steering device is provided with: a motor angular velocity computing unit that computes a motor angular velocity from a motor rotation angle; a motor angular acceleration computing unit that computes a motor angular acceleration from the motor angular velocity; and a stability compensation unit that computes a compensation steering torque and a compensation current command value on the basis of the motor angular velocity and the motor angular acceleration (and additionally the vehicle speed as necessary), wherein the steering torque is compensated using the compensation steering torque and the current command value is compensated using the compensation current command value.

The invention relates to the technical field of voice recognition, and discloses a noise reduction and abnormal sound detection method applied to rail transit. The method comprises the following steps: S1, acquiring sound signals in a rail transit monitoring range; S2, converting the sound signals to digital signals from analog signals; S3, extracting the characteristic values of the digital signals, and judging whether the sound signal is abnormal or not according to the characteristic values; and S4, constructing a filter for performing noise reduction process for the sound signals outputted by the step 2, and outputting the processed sound signals. According to the invention, the voice recognition technical design is utilized, the noise component of the sound signals in the rail transit monitoring range can be effectively restrained, and meanwhile, the abnormal sound of the rail transit monitoring range can be detected conveniently.

A system and a method for remotely sensing global motion of an ensemble of dynamically moving scattering sites. The system comprising a scattering medium under inspection, an optical transceiver and a detector in a double-pass geometry.

A discharge testing device comprising:a discharge controller discharging a liquid droplet from a nozzle such that a discharge testing period including a discharge period; a detection signal acquiring unit acquiring a detection signal; a low-pass filter eliminating a high frequency component from the detection signal; a first amplifier amplifying the detection signal to generate a first amplification signal; a restricting unit restricting signal strength of the first amplification signal during a restriction period included in the discharge testing period to predetermined strength; a second amplifier amplifying the first amplification signal to generate a second amplification signal; and a determinator determining whether a liquid droplet is normally discharged based on signal strength based on signal strength of a second amplification signal during a sampling period after a predetermined time elapses from the restriction period.

The invention belongs to the field of signal processing, and particularly relates to a method for noise abatement of LFM underwater sound multi-path signals. The method includes the steps that an optimal transformation order popt on which optimal fractional Fourier transformation is conducted is acquired according to deterministic signal parameters; band-pass filtering preprocessing is conducted on the LFM multi-path signals, and out-of-band noise is abated; Hilbert transformation is conducted on band-pass filtering output signals, and then analytic signals are acquired; popt and fractional Fourier transformation is conducted on the analytic signals; frequency spectrum shielding and isolating processing is conducted on a fractional Fourier domain, and in-band noise is abated; -popt and fractional Fourier inverse transformation is conducted, and then high-signal-to-noise-ratio multi-path signals with the abated noise are acquired. The method is mainly achieved through the FFT algorithm, the calculated amount is small, and project real-time implementation can be achieved. Signal processing is not disturbed by cross terms due to FrFT linear transformation characteristics, so that the method is especially suitable for processing the multi-path or multi-component LFM signals.

A reference voltage generating circuit for an LCD device includes a main pumping section, a sub-pumping section, an input section inputting a level designating signal periodically and alternately designating a first reference level and a second reference level, and a control section alternately comparing an output voltage with the first and second reference levels in response to the level designating signal, wherein the control section outputs a first logic level and the main pumping section selectively lowers the output voltage in a fast negative pumping and the sub-pumping section selectively raises the output voltage in a slower positive pumping.

The invention relates to a method for restraining noise and a relative device, wherein said method comprises: A, obtaining the signal channel impact response sequence of extracted OFDMA mark; B, using preset maximum multi-path time delay to first restrain the noise on said signal channel impact response; and the inventive device comprises: a signal channel impact response sequence obtainer for obtaining said sequence; a filter unit for based on input filter information restraining the noise of obtained signal channel impact response sequence; a maximum multi-path time delay setter for setting the maximum multi-path time delay as the filter information to the filter unit when first restraining noise. The invention can improve the efficiency when restraining noise.

The antenna coil unit includes a main coil and an auxiliary coil electrically insulated from the main coil, the auxiliary coil being arranged at a position in which an induction current is produced by a magnetic field produced by an electric current flowing through the main coil. The auxiliary coil is configured in a state in which a frequency deviating by a predefined amount in a predefined direction from a target frequency predefined within a harmonic component of the fundamental component of an electromagnetic wave produced by the electric current flowing through the main coil is taken as a resonance frequency. The direction and amount are such that the phase of an alternating-current current flowing through the auxiliary coil is in an opposite-phase state, which is opposite the phase of the harmonic component of an AC current flowing through the main coil.

The invention discloses a noise reduction method of a close-range active millimeter wave column scanning imaging system. The noise reduction method comprises the steps of introducing a noise model of the close-range active millimeter wave column scanning imaging system into an independent component analysis (ICA) model to expand the observation data of the imaging system; carrying out blind source separation (BBS) on an observation signal by high-order accumulation to obtain a useful signal and realize the inhibition of system noise, wherein the noise is added into the observation signal in a multi-dimensional way. After the noise reduction method is adopted, the noise component in the imaging system can be effectively inhibited, and the complete information of the useful signal can be maintained.

A semiconductor integrated circuit equipped with an equalizer which has a circuit structure simpler than that of a related equalizer according to an FFE scheme or a DFE scheme and is capable of preventing a noise component from being amplified. The data receiver includes a plurality of receiver units, wherein each receiver unit includes a plurality of level detectors which detect different levels, and an encoder, in which the level detectors receive data according to a clock signal having a predetermined phase difference and perform an amplification operation including an equalization function based on feedback data, thereby outputting an amplification signal, and wherein level detectors of one receiver unit receive an amplification signal, as the feedback data, from level detectors of another receiver unit that receives a first clock signal having a phase more advanced than a phase of a second clock signal received in one receiver unit.

The present invention discloses noise inhibiting method in cross spectrum matrix evaluation of marine vertical array signal reception. The vertical array receives the signal the target sound source sends in the first sampling time and the adjacent sampling times. One first cross spectrum matrix is constituted with the signal received in the first sampling time, and several second cross spectrum matrixes are constituted with the signal received in the adjacent sampling times. The second cross spectrum matrixes are frequency shifted relatively to the first one to make the effective signal channel component in each of the second cross spectrum matrixes equal to that in the first one. The first cross spectrum matrix and the frequency shifted second cross spectrum matrixes are statistically averaged to obtain the cross spectrum matrix evaluation in the first sampling time. The said method has one over 10 dB higher S / N ratio compared with convenient statistical method.

A device for filtering electromagnetic waves is provided with: a shield conductor (1); a shield opening (2) provided in the shield conductor (1); a plurality of strip conductors (11), which are connected at the both ends to the shield conductor (1) and divide the shield conductor (1) into a plurality of openings (12); and a plurality of stub conductors (13) arranged on the strip conductors (11) at predetermined intervals, respectively. Each stub conductor (13) passes through electromagnetic waves at a predetermined frequency in the device for filtering electromagnetic waves without substantially affecting radiation of the electromagnetic waves at the predetermined frequency, by preventing a current at a predetermined frequency from flowing in each strip conductor (11) due to the electromagnetic waves which are at the predetermined frequency and passing through the device for filtering electromagnetic waves.

The invention discloses a thrombus elasticity signal extraction method, a storage medium and computer device. The method comprises the following steps: performing data sampling on an angular displacement signal; generating an equal-difference radian sequence; generating sine and cosine sequences; respectively carrying out point multiplication on the sampling sequence and sine and cosine sequences,and solving an element average value; obtaining a thrombus elasticity signal in a single period; repeating the steps to obtain a thromboelastography signal in multiple periods, and generating a positive side signal sequence and a negative side signal sequence, so as to form a complete thromboelastography signal. According to the method provided by the invention, ideal sampling signals can be wellprocessed, and the method can suppress various noise components contained in the probe angular displacement signal of the equipment in the actual working process, such as the vibration signal of thedetection platform, the noise of the measurement system, the damped oscillation when the probe leaves the initial position, and the like, so as to obtain a more accurate thromboelastography signal.

The invention provides a dual-polarization phase optimization earth surface deformation monitoring method combining a PS target and a DS target. The method comprises the steps of respectively selecting PS targets of VV and VH dual-polarization data through employing an average amplitude threshold method, and merging the PS targets of the two kinds of polarization data; identifying a DS target by using an Anderson-Darling test and an average amplitude threshold method, and carrying out noise reduction processing on the DS target by using adaptive mean filtering; generating a spatial coherence matrix based on the PS target and the DS target, separating a first principal component, namely, a maximum eigenvalue, by adopting a coherence matrix eigenvalue decomposition method, and searching an optimal scattering mechanism by adopting a BGSM algorithm to enable the phase contribution of the first principal component to be maximum, thereby being capable of effectively improving the coherence point target density and the phase quality; and finally, combining the PS target and the DS target to invert surface deformation.

The invention belongs to the technical field of wireless communication, and discloses an SAGE channel parameter estimation method based on feature value decomposition. The method comprises the following steps: obtaining channel impact response; constructing a covariance matrix of the channel impact response; performing feature value decomposition on the covariance matrix of the channel impact response; estimating a parameter vector of the channel by using an SAGE algorithm; and performing performance comparison with the general SAGE algorithm. By adoption of the SAGE channel parameter estimation method disclosed by the invention, the channel parameter can be effectively estimated, good robustness and astringency are ensured; and simulation results show that compared with the original SAGE algorithm, the channel parameter estimated by the SAGE channel parameter estimation method based on feature value decomposition is closer to a synthetic channel parameter, and the robustness and astringency of the original SAGE algorithm are improved.

The invention belongs to the technical field of wireless communication, and discloses an SAGE channel parameter estimation method based on feature value decomposition. The method comprises the following steps: obtaining channel impact response; constructing a covariance matrix of the channel impact response; performing feature value decomposition on the covariance matrix of the channel impact response; estimating a parameter vector of the channel by using an SAGE algorithm; and performing performance comparison with the general SAGE algorithm. By adoption of the SAGE channel parameter estimation method disclosed by the invention, the channel parameter can be effectively estimated, good robustness and astringency are ensured; and simulation results show that compared with the original SAGE algorithm, the channel parameter estimated by the SAGE channel parameter estimation method based on feature value decomposition is closer to a synthetic channel parameter, and the robustness and astringency of the original SAGE algorithm are improved.

The invention relates to the technical field of voice recognition, and discloses a noise reduction and abnormal sound detection method applied to rail transit. The method comprises the following steps: S1, acquiring sound signals in a rail transit monitoring range; S2, converting the sound signals to digital signals from analog signals; S3, extracting the characteristic values of the digital signals, and judging whether the sound signal is abnormal or not according to the characteristic values; and S4, constructing a filter for performing noise reduction process for the sound signals outputted by the step 2, and outputting the processed sound signals. According to the invention, the voice recognition technical design is utilized, the noise component of the sound signals in the rail transit monitoring range can be effectively restrained, and meanwhile, the abnormal sound of the rail transit monitoring range can be detected conveniently.

The present invention discloses noise inhibiting method in cross spectrum matrix evaluation of marine vertical array signal reception. The vertical array receives the signal the target sound source sends in the first sampling time and the adjacent sampling times. One first cross spectrum matrix is constituted with the signal received in the first sampling time, and several second cross spectrum matrixes are constituted with the signal received in the adjacent sampling times. The second cross spectrum matrixes are frequency shifted relatively to the first one to make the effective signal channel component in each of the second cross spectrum matrixes equal to that in the first one. The first cross spectrum matrix and the frequency shifted second cross spectrum matrixes are statistically averaged to obtain the cross spectrum matrix evaluation in the first sampling time. The said method has one over 10 dB higher S / N ratio compared with convenient statistical method.

An image processing apparatus includes an image obtaining unit configured to obtain a plurality of viewpoint images, a detecting unit configured to detect a first undesirable component of the viewpoint images according to relative difference information that is a difference between the viewpoint images, a noise information obtaining unit configured to obtain noise information of the viewpoint images, a calculation unit configured to calculate a second undesirable component by subtracting noise from the first undesirable component according to the first undesirable component and the noise information, and a reducing unit configured to reduce the second undesirable component of an image formed based on the viewpoint images.

The invention discloses a noise reduction method for ultrasonic detection signals of metal internal defects, and relates to the technical field of ultrasonic nondestructive detection. According to the method, the technical problem that an existing noise reduction method for ultrasonic detection signals does not depend on a self forming mechanism is solved; according to the technical scheme, the idea of hierarchical threshold processing is introduced into a CEEMDAN algorithm, thereby providing the threshold noise reduction method for the ultrasonic detection signal based on the CEEMDAN algorithm and the spatial correlation; the problem that a traditional noise reduction method is separated from an ultrasonic detection signal forming mechanism is solved, and the method has higher adaptability, effectiveness and stability. meanwhile, the spatial correlation coefficient of the ultrasonic detection signal subjected to threshold value processing is set as a reconstruction coefficient of each mode, the mechanism that defect echo spatial correlation is high and noise component spatial correlation is low is fully utilized, echo signals in ultrasonic detection signals are reserved, noise components are inhibited, and an ideal noise reduction effect is obtained.