355results about How to "Achieve noise reduction" patented technology

The invention discloses a sound insulation cabin of a turbine engine. The sound insulation cabin is arranged on the turbine engine in a sleeving mode, and comprises a cabin body, an intake noise reduction unit and a ventilation noise reduction unit; the intake noise reduction unit and the ventilation noise reduction unit are arranged on the cabin body, and the periphery of the cabin body is filledwith sound insulation materials; and the intake noise reduction unit is used for intake noise reduction of the turbine engine, and the ventilation noise reduction unit is used for noise reduction ofa ventilation system of the turbine engine. The sound insulation cabin has the beneficial effects that the intake noise reduction unit is additionally arranged at an air inlet of the turbine engine, and intake noise reduction of the turbine engine is achieved; the ventilation noise reduction unit is additionally arranged in the transmission direction of the turbine engine, and the ventilation andcooling noise reduction for the turbine engine is achieved; the periphery of the cabin body is filled with the sound insulation materials, and the overall noise reduction for the periphery of the turbine engine is achieved.

The invention relates to an SOC estimation method for a series-wound battery pack having an equalization circuit. According to the estimation method, adaptive extended Kalman filtering SOC estimation is carried out on the single batteries with the lowest voltage or the highest voltage in the charge-discharge stage so as to obtain the SOC of the series-wound battery pack. For eliminating influence on the measurement signal from noise, and for analyzing the unstable and sharply-changed voltage and current signals, wavelet transform is performed before the implementation of the adaptive extended Kalman filtering so as to realize denoising and analyzing of the signal; and the condition that the curves of the battery parameters and the open circuit voltage-state of charge (OCV-SOC) are changed along with the changes of temperatures and the changes of the SOC is taken into consideration. By adoption of the estimation method, online updating of the parameters can be performed, so that the SOC estimation precision can be improved; the SOC of the battery pack can be accurately estimated under the premise of ensuring the safety operation of the series-wound battery pack; therefore, the estimation method is applicable to active equalization and passive equalization; and meanwhile, by adoption of the estimation method, the influence from noise can be effectively eliminated, and the voltage and current signals can be effectively analyzed.

The invention discloses an audio and video processing method and apparatus of assisted live broadcast. The method comprises the following steps: reading original video streams and original audio streams through an assisted live broadcast audio and video application; processing the original video streams to obtain video streams; processing the original audio streams to obtain audio streams; aligning the timestamps of the video streams and the audio streams to generate an audio and video data packet containing the aligned video streams and the aligned audio streams; connecting cross-process communication channels of the assisted live broadcast audio and video application and a live broadcast application; and transmitting the audio and video data packet to the live broadcast application through the cross-process communication channel. By adoption of the audio and video processing method and apparatus disclosed by the invention, the blockage and crash phenomena in a live broadcast process are avoided to a larger extent, the live broadcast effect is more vivid, and the user experience is improved.

The invention provides an energy-saving control system and control method for a vibrating road roller, and the vibrating road roller. The energy-saving control system for the vibrating road roller comprises an electronically-controlled operation handle, a controller, an electronically-controlled engine, an electronically-controlled running pump, a running module and a running system, wherein the electronically-controlled engine, the electronically-controlled running pump, the running module and the running system are sequentially connected; the controller is connected with the electronically-controlled engine, the electronically-controlled running pump and the electronically-controlled operation handle; and the controller is capable of adjusting the rotational speed of the electronically-controlled engine and the displacement of the electronically-controlled running pump according to the position of the electronically-controlled operation handle. Through the energy-saving control system and control method for the vibrating road roller, and the vibrating road roller, the controller is capable of adjusting the rotational speed of the electronically-controlled engine and the displacement of the electronically-controlled running pump according to the position of the electronically-controlled operation handle, and the electronically-controlled engine is enabled to work at a good rotational speed, so that the purposes of energy saving and noise reduction of the electronically-controlled engine are realized; and meanwhile, the displacement of the electronically-controlled running pump is automatically adjusted through the controller to meet the power need of the whole system, so that the working stability and reliability of the system are ensured.

An embodiment of the invention discloses an audio signal processing method and device. The method comprises steps as follows: to-be-processed audio signals generated in a direct broadcasting process are acquired, and audio frames are extracted from the to-be-processed audio signals; a first probability, a second probability and a third probability are determined according to a transcendental audio model; the first probability is the probability that the audio frame belongs to voice, the second probability is the probability that the audio frame belongs to music, and the third is the probability that the audio frame belongs to noise; if the first probability is smaller than a first threshold or the second probability is smaller than a second threshold and the third probability is larger than a third threshold, the fact that the audio frame contains noise is determined; after the fact that the to-be-processed audio signals contain noise is determined, the audio frame belonging to noise is denoised. The method and the device can be suitable for the application scene of direct broadcasting, denoising of the audio signals is realized, and the quality of the audio signals is improved.

The invention discloses a DVL-assisted SINS robust on-moving initial alignment method. The DVL-assisted SINS robust on-moving initial alignment method comprises the following steps of step (1), acquiring real-time sensor data; step (2), establishing a vector apparent motion parameter equation; step (3), on the basis of establishing the vector apparent motion parameter equation, estimating a parameter matrix through adaptive robust Kalman filtering; step (4), establishing reconfiguration vectors based on estimated parameters; step (5), through an optimal base quaternion attitude determining method, computing the error angle between a determined attitude and a real attitude; step (6), setting an initial alignment moment as M and a real-time data acquiring moment as k, if k=M, outputting an initial alignment result and completing an initial alignment process, and if k<M, determining that the initial alignment process is not completed, and repeating the above steps of (1) to (5) until theinitial alignment process is completed. The DVL-assisted SINS robust on-moving initial alignment method solves the problems of poor alignment precision and divergent alignment processes when system measured noise is abnormal.

The invention provides a virtual outlier noise reduction method of micro-inertial device signals, which comprises the following steps: (1) for continuous signals with noise, intercepting fixed-length data quantity to be recorded as a sequence A; (2) carrying out symmetric extension on the sequence A to finish wavelet decomposition; (3) averaging wavelet functions after sequence decomposition, and computing signal variance; (4) computing the outlier, and eliminating a threshold; (5) carrying out noise reduction treatment on the wavelet functions by utilizing the computed threshold T; (6) repeating step (2) to step (5) until the number of the decomposed layers reaches the set value; (7) finishing reconstruction of the signals by utilizing the treated wavelet functions, and realizing noise reduction treatment on the signals at the intercepted section; and (8) repeating step (1) to step (7) to realize continuous noise reduction of the signals. When filtering the measured signals of a micro-mechanical gyroscope with the outlier and noise by aopting the method of the invention, oscillation near an outlier point is reduced, and a signal-to-noise ratio which is higher than that acquired by the universal threshold noise reduction method can be acquired.

The invention discloses an image noise reduction method based on an image block prior estimation mixed framework, and specifically relates to prior estimation of image blocks, and an image noise reduction method. The prior estimation involves classifying the image blocks through detecting image structures and performing image noise reduction on the classified image blocks according to different image results by using an image block expected logarithm likelihood estimation and an image block coupling-three-dimensional filtering method. According to the invention, by use of the image noise reduction method based on the image block prior estimation mixed framework, noise reduction can be realized relevantly according to different image block structures, and experiment results show that the method, compared to other noise reduction methods, has the advantage of better-robustness noise reduction.

The invention belongs to the technical field of noise reduction, and discloses a sound absorbing device. The sound absorbing device comprises a sound absorbing unit body, and the sound absorbing unitbody comprises a porous sound absorbing device and a resonant sound absorbing device; the porous sound absorbing device comprises a porous sound absorbing layer, and a tube cavity is formed in the porous sound absorbing layer; the resonant sound absorbing device comprises a resonant tube and a sound absorbing tube; the resonant tube is mounted in the tube cavity in a matched mode; and a through hole is formed in the top of the resonant tube, the sound absorbing tube is mounted in the through hole in a matched mode, and both the two ends, in the resonant tube, of the sound absorbing tube are open. The sound absorbing device is provided with the porous sound absorbing device and the resonant sound absorbing device, thus a parallel sound absorbing structure is formed, and the overall sound absorbing performance to low, medium and high frequency wide band sound waves is good; and the sound absorbing performance can be improved within the limited thickness.

The invention relates to the field of noise reduction and discloses an active noise reduction device for a motor of an electric or hybrid electric vehicle. The active noise reduction device comprises a noise reduction shell and a controller. A motor body is sleeved with the noise reduction shell, and a gap is arranged between the noise reduction shell and the motor body. A plurality of horns are evenly distributed on the inner wall of the noise reduction shell. The controller is connected with the horns and is used for driving the horns to generate sound waves in order to offset the noise, wherein the sound waves are opposite to the noise generated by the motor in phase and identical to the noise generated by the motor in amplitude. The horns are HI-FI horns. An opening of the noise reduction shell faces one end of the output shaft of the motor body, and the opening is shaped like an inwards contracted frustum. The active noise reduction device can be used for processing the high-speed noise of the motor of the electric or hybrid electric vehicle, and therefore good finished vehicle NVH performance can be achieved.

An embodiment of the invention provides an audio noise reduction method and device. The method comprises the following steps: obtaining an audio signal to be processed and carrying out filtering processing on the audio signal to generate a noise reduction control signal same in value and opposite in phase with the audio signal; when detecting that signal amplitude at some time point of the noise reduction control signal meets an amplitude limit starting threshold value, starting an amplitude limiter, and carrying out attenuation processing on the signal amplitude corresponding to a time point after the time point, wherein since one condition under which howling occurs is that the signal amplitude reaches a certain value, by reducing the signal amplitude corresponding to the time point after the first time point, the howling occurrence condition can be damaged, and occurrence of the howling can be prevented; and at last, outputting the noise reduction control signal obtained after attenuation processing, and carrying out superposition on the noise reduction control signal obtained after attenuation processing and the noise signal to realize noise reduction of the audio signal to be processed.

The invention relates to a low-rank characteristic-based frequency modulation sequence matrix noise reduction and target detection method. The method includes the following steps that: received signals of L periods are continuously obtained, and the received signals are down-converted to a base band, and beat signals of L periods can be obtained; discrete sampling is performed on the beat signals, so that an L-row and N-column matrix S can be obtained; based on two sets of random sampling, nuclear norm optimization solution is performed obtained matrixes respectively, and a noise reduction result S' can be obtained; N<FFT>-point FFT is performed on each row of the matrix S', so that a matrix SR can be obtained; N<FFT>-point FFT is performed on each column of the matrix SR, so that a matrix SRD can be obtained; and two-dimensional average unit-ordered statistics constant false alarm rate detection is performed on the matrix SRD, and the distance and speed of a target are extracted. According to the method of the invention, nuclear norm optimization solution can be performed on the matrixes through utilizing a matrix filling theory according to the low-rank characteristics of signals, and therefore, noise reduction of the two-dimensional matrix can be realized, and a signal to noise ratio can be improved effectively; and based on the two-dimensional average unit-ordered statistics constant false alarm rate detection, noise estimation in Doppler domain can be improved, and problems existing multi-target detection can be solved.

The invention discloses a weapon bay noise suppression device based on environment gas jet. The weapon bay noise suppression device is installed at an opening of a weapon bay (11) and comprises a plenum chamber (2) which is connected along an airflow direction and is provided with a small opening and a large cavity, and a jet flow opening cover (4) provided with a jet flow outlet (6), wherein the jet flow outlet (6) with long and thin rectangular cross section is positioned at the front edge of the weapon bay (11). The weapon bay noise suppression device is installed inside the weapon bay, environment gas is utilized as an air source, the intensity of noise in the bay when the weapon bay is started is reduced by spraying gas flow to the opening of the weapon bay, the aerodynamic configuration of an aircraft cannot be damaged, also high-pressure air source does not need to be additionally supplied, the service life is long, and stable and reliable effects are achieved.

The invention discloses a multi-sensor video fusion and de-noising method and device. The method comprises the steps of converting the input video frame to a frequency domain, and separately generating a low-frequency sub-band coefficient and a high-frequency sub-band coefficient; separately fusing the low-frequency sub-band coefficient and the high-frequency sub-band coefficient; and performing inverse transformation on the fused low-frequency sub-band coefficient and high-frequency sub-band coefficient to obtain fused video. Therefore, the multi-sensor video fusion and de-noising method and device can realize multi-sensor video trans-scale fusion and de-noising by video frame decomposition based on three-dimensional shearlet transformation, high-frequency coefficient fusion strategy based on 3D PCNN (Pulse Coupled Neural Network) and low-frequency coefficient fusion strategy based on remarkable 3D PCNN.

The invention discloses a noise reduction method of weak labeling data based on regularized label propagation, which comprises the following steps: 1, obtaining a required weak labeling sample data set from a crowdsourcing data platform; 2, constructing a local neighborhood structure for that weakly labeled image sample data; 3, solving the sample nearest neighbor weighted similarity matrix of thelocal neighborhood structure; 4. Constructing a noise reduction model based on system state consistency for local neighborhood structure under weak supervision; 5, solving that noise reduction modelbased on the regularize label propagation method, and achieving the noise reduction of the weakly labeled sample data set. By constructing a local neighborhood structure of weak labeling data, Considering the whole weak labeling sample data set as a system, a denoising method of weak labeling data is proposed from the viewpoint of system consistency, which realizes the denoising of weak labeling data, optimizes the labeling quality of sample data set, and does not require manual experience or expert intervention in the denoising process, effectively improves the denoising accuracy and reducesthe efficiency.

The invention discloses an oil-electricity hybrid power vehicle energy management control system which comprises a fuel oil power generation set, a traction converter, a power battery and a traction motor, wherein the traction converter comprises an AC/DC (Alternative Current/Direct Current) module, a DC/AC electronic switch, a support capacitor and a DCU (Deceleration Control Unit) controller; the fuel oil power generation set is connected with the traction motor and auxiliary equipment through the AC/DC module and the DC/AC electronic switch; the fuel oil power generation set is controlled through an excitation driving module; the power battery is connected with the AC/DC module and the DC/AC electronic switch respectively; both ends of the power battery are connected with the support capacitor in parallel; brake resistors are connected in parallel with both ends of the power battery. The working time of a fuel engine is greatly shortened, in addition, the fuel engine mainly works ata rated power or an economical operation range, both the traction demand of a vehicle can be met, and the oil consumption and the operation cost can be greatly reduced, waste gas emission and noise can be reduced, and the purposes of energy conservation, emission reduction and noise reduction can be achieved.