499 results about "High-pass filter" patented technology

The invention relates to the technical field of image enhancement, in particular to an archive restoration system based on image enhancement, and the system comprises a high-frequency detail enhancement module which receives a damaged archive image, processes high-frequency information through a high-pass filter, and obtains a high-frequency processed image; the high frequency processed image is sharpened while maintaining smoothness of the low frequency region, generating a detail enhanced image. According to the method, the high-frequency information of the damaged archive image is independently processed, the detail part in the image is independently extracted and sharpened, and meanwhile, the low-frequency region is kept smooth, so that the detail definition of the image and the overall visual naturalness are synchronously improved; and in the image texture repairing process, the texture of the undamaged area is analyzed, and key texture features are extracted and expanded, so that the texture and the pattern of the damaged area are accurately reconstructed, and the integrity and the authenticity of the image structure and the content are ensured.

The invention discloses a multi-mode hybrid energy storage cooperative control method and system for a megawatt-level network-building type energy storage power station, and the method comprises the steps: S1, collecting the frequency, voltage amplitude and phase of a power grid, and the charge state and temperature of each energy storage branch, and generating real-time monitoring data; s2, determining an operation mode of the energy storage power station based on a comparison result between the frequency deviation and the voltage deviation in the real-time monitoring data and a preset threshold value; s3, based on the operation mode of the energy storage power station, performing double-layer decomposition on the power instruction through a high-pass filter and a low-pass filter to generate a super-capacitor power instruction and a lithium battery power instruction; s4, generating an internal potential amplitude and a phase angle by adopting a virtual synchronous machine algorithm; and S5, on the basis of the amplitude and the phase angle of the internal potential and the detection result of the power grid connection state, executing switching control of a network construction type control mode or a network following type control mode. The millisecond-second level multi-time scale power optimal distribution is realized; self-adaptive inertia and voltage support is carried out; and island / grid-connected seamless switching is realized.

The invention discloses an electroencephalogram signal processing method and system based on motion artifact prediction. The method comprises the following steps: acquiring experimental electroencephalogram data when a testee executes a motion imagination task; discrete wavelet transform is carried out on experimental electroencephalogram data, and signals are decomposed into low-frequency components and high-frequency components through a low-pass filter and a high-pass filter; inputting the low-frequency component into a pre-constructed and trained ARIMA model, and predicting to obtain a linear artifact; inputting the high-frequency component into a pre-constructed and trained XGBoost regression model, and predicting to obtain a nonlinear artifact; combining the linear artifacts and the nonlinear artifacts to generate a complete artifact prediction signal; real electroencephalogram signals are separated through difference value calculation of the experimental electroencephalogram data and the artifact prediction signals. According to the method, the time sequence change of the motion artifacts is predicted by utilizing the ARIMA model, and the nonlinear artifact features are captured in combination with the XGBoost regression model, so that the motion artifacts can be effectively removed, and purer electroencephalogram signals can be recovered.

The invention discloses a composite fault signal separation method based on adaptive spectral kurtosis deconvolution. The method comprises the following steps: S1, carrying out noise reduction processing on an original composite fault signal; s2, separating the composite fault signal after noise reduction through Hilbert envelope demodulation; s3, optimizing a low-pass filter and a high-pass filter through a Bayesian objective function, and constructing a band-pass filter and a band elimination filter; and S4, carrying out iterative filtering on the composite fault signal after noise reduction through a band-pass filter and a band elimination filter, constructing a frequency-bandwidth fast spectral kurtosis graph according to a fast spectral kurtosis deconvolution method, obtaining a center frequency and bandwidth range corresponding to the maximum spectral kurtosis, and separating out the weak fault signal in the step S2. According to the method, a spectral kurtosis graph is constructed by combining a low-pass filter and a high-pass filter through a fast spectral kurtosis deconvolution method to determine the center frequency and the bandwidth range, targeted separation is carried out on composite fault signals, an initial filtering parameter range is provided for Bayesian optimization, and the fault separation efficiency and accuracy are improved.

The invention belongs to the technical field of underwater small target object analysis and recognition methods, and particularly relates to a sound signal feature optimization method for underwater small target object analysis and recognition. Comprising the following steps: 1, acquiring and processing original data; 2, eliminating interference line spectrums, and intercepting and splicing by adopting a time window to obtain a time recombination sound signal; using range transformation to optimize signal amplitude characteristics; processing the sound signal by using an FIR digital high-pass filter; obtaining an optimized signal by using a homomorphic filter; 3, extracting structural features, energy features, frequency features and sound intensity features of the optimized digital signals; step 4, sound signal feature fusion: carrying out underwater target sound signal feature fusion processing based on a canonical correlation analysis method; the invention provides a method for extracting effective sound signal data of an underwater target under the background of optimizing a complex marine environment, enhancing signal effectiveness during long-distance detection, and constructing effective sound signal features capable of being used for classification and recognition of the underwater target at the same time.

The present invention discloses a method and system for industrial defect detection and localization based on frequency domain enhancement, which relates to the fields of computer vision and image processing, can discover abnormal patterns in industrial images from multiple perspectives, and also has a relatively fast inference speed. The method includes: processing an input image through a high-pass filter to obtain a high-frequency image; inputting the original image and the high-frequency image into an improved U-Net network integrated with a dual-domain feature selection module; performing image reconstruction simultaneously in the spatial domain and the frequency domain; calculating an anomaly score and a localization map based on the reconstruction results. By combining spatial domain and frequency domain analysis, the present invention realizes a comprehensive characterization of local pixel changes and global frequency patterns in the image, improving the accuracy of anomaly detection and localization. The method has achieved optimal performance on multiple real industrial scenario datasets. The present invention is applicable to anomaly detection and anomaly area localization of industrial product images.

A band-pass filter includes a first port, a second port, first to third high-pass filters provided between the first port and the second port in this order from a first-port side in a circuit configuration, and a low-pass filter provided between the second high-pass filter and the third high-pass filter in the circuit configuration. Each of the first to third high-pass filters forms an attenuation pole on a low-pass side of the passband. A frequency of the attenuation pole formed by the second high-pass filter is higher than a frequency of the attenuation pole formed by each of the first and third high-pass filters.

An apparatus and method are provided to correct for time-walk errors during photon detections (e.g., detecting gamma rays). A time-walk correction is determined using measurements of energy (or charge) that apply different time windows, enabling corrections accounting for variations in the ratio between fast and slow components in the detected pulse. For example, one time window can be used to integrate the leading end of the pulse, thereby predominantly measuring the fast component, while a second window is used to integrate a trailing end of the pulse to predominantly measure the slow component. Alternatively or additionally, low-pass and high-pass filters may select the slow and fast components, respectively. The time-walk correction is a function of multiple measurements representing different components (e.g., fast and slow) of the pulse shape.

The invention provides a brain image denoising method based on a U-shaped dynamic convolution multi-scale multi-branch network. The brain image denoising method comprises the steps that brain noise images to be denoised are input into three branch networks formed by U-netAM, DSHFN and MSDSRN in parallel; in the U-netAM branch, multi-level features are extracted through an encoder in sequence, after weighting is conducted through a channel and a space attention mechanism, the spatial resolution is recovered through a decoder, and a first feature map is obtained; in the DSHFN branch, the dynamic convolution kernel generates a corresponding convolution kernel in real time according to input image features, the image is decomposed into a low-frequency part and a high-frequency part, and the low-frequency part and the high-frequency part are subjected to weighted fusion after being processed by a low-pass filter and a high-pass filter respectively to obtain a second feature map; in the MSDSRN branch, adopting multi-scale depth separable convolution to extract multi-scale features in parallel, and obtaining a third feature map through residual connection and fusion; inputting the three feature maps into an FPB block for fusion to obtain a noise feature map; and performing pixel-by-pixel subtraction on the original brain noise image and the noise feature map, and outputting a denoised brain image.

A system and method for monitoring signal quality metrics coupled with closed-loop control improves rectifier signal quality and stability. The closed-loop control passes the metric through a high-pass filter and captures error values. This signal is then passed to a controller to adjust rectifier settings. The measured signal, where signal quality is derived could be VRECT, FCLK, network coil measurements, is used for ASK demodulation, or the like. The controller identifies noise levels and noise types in real-time, and sets parameters of the rectifier to preserve system stability. The controller may set baud rates and preamble thresholds in a wireless power transfer system in response to identified noise levels and types.

Embodiments of the invention include a plasma system. The plasma system includes a plasma chamber; an RF driver configured to drive bursts into the plasma chamber with an RF frequency; a nanosecond pulser configured to drive pulses into the plasma chamber with a pulse repetition frequency, the pulse repetition frequency being less than the RF frequency; a high pass filter disposed between the RF driver and the plasma chamber; and a low pass filter disposed between the nanosecond pulser and the plasma chamber.

An audio amplifier includes a loop filter, at least one high pass filter (HPF) circuit, a pulse width modulation (PWM) generator, and a power stage. The loop filter is arranged to receive an audio signal and a feedback signal, and includes a first amplifier and a second amplifier, wherein the first amplifier has a first output node, and is arranged to process the audio signal and the feedback signal; the second amplifier has a first input node, and is arranged to receive a first amplifier input and a second amplifier input; and the first amplifier input is obtained from a signal path coupled between the first output node and the first input node. The at least one HPF circuit is coupled between the first amplifier and the second amplifier, and is arranged generate and output the second amplifier input according to an amplifier output of the first amplifier.

The invention discloses a novel chopping correlation double-sampling stable multi-path amplifying circuit and method, and relates to integrated circuit design. A Miller compensation capacitor in a chopping stable multi-path CSMP amplification circuit architecture is utilized to design a chopping correlation double-sampling circuit, and compared with a traditional correlation double-sampling circuit, a group of sampling capacitors and sampling switches are reduced. Large capacitance and large resistance required by a traditional high-pass filter circuit are eliminated, and the layout area and the current required for driving a high-pass filter capacitor are reduced; and thermal noise caused by large resistance in the passive high-pass filter is reduced, and the input equivalent noise density is improved. Through an offset calibration technology, the stability of the CSMP architecture is ensured, and the offset voltage is reduced at the same time; output ripples are suppressed by using the high-pass performance of the novel chopping correlation double-sampling circuit, 1 / f noise is reduced, and input equivalent noise density is reduced. The advantages of the chopping correlation double sampling technology and the stable multi-path amplification circuit are combined, and the advantages of low offset, low output ripple and low input equivalent noise density are achieved.

The invention relates to the technical field of image enhancement, in particular to an image enhancement method and device, a storage medium and equipment, and the method comprises the following steps: S1, scanning a target workpiece, and obtaining an image; s2, performing multi-scale pyramid decomposition on the image to obtain a high-frequency component and a low-frequency component of the image; s3, performing equalization processing on the low-frequency component through a histogram equalization algorithm; s4, performing filtering processing on the high-frequency component through a high-pass filter; and S5, fusing the processed high-frequency component and low-frequency component in proportion, and reversely executing the step S2 to obtain an enhanced image. According to the invention, the peak signal-to-noise ratio (PSNR) can be further improved so as to meet a scene requiring a high-quality image.

A radio frequency communication filter based on voltage tuning comprises an LC low-pass filter composed of a first set of parallel variable capacitance diode units, a second set of parallel variable capacitance diode units and an inductor L2, and an RC high-pass filter which is adjusted along with a tuning voltage control end VT and composed of a capacitor C2, a variable capacitance diode V17, a variable capacitance diode V18, a capacitor C4 and a resistor R2. A third group of parallel variable capacitance diode units, a fourth group of parallel variable capacitance diode units and an inductor L3 form an LC low-pass filter, and a capacitor C3, a variable capacitance diode V20, a variable capacitance diode V19, a capacitor C5 and a resistor R2 form another RC high-pass filter which is adjusted along with a tuning voltage control end VT. And the two band-pass filters are connected to form a high-selectivity and low-insertion-loss adjustable band-pass filter driven by the same controllable tuning voltage control end.

The invention relates to the technical field of optical fiber sensing, in particular to a distributed optical vibration sensing early warning verification method for an island multi-source environment. Signals collected in different environments and different states are preliminarily divided into threat signals and non-threat signals, the effectiveness of data is further verified through frequency spectrum transformation, low-frequency noise and natural environment interference signals such as sea waves and wind sound are filtered out from the signals through a 5Hz high-pass filter, high-frequency noise is further suppressed by applying a wavelet denoising technology, and the non-threat signals are obtained. And useful signal features are reserved. A variational mode decomposition technology is adopted to carry out multi-scale decomposition on signals, and multiple classic features of a mode function obtained after decomposition are selected to extract feature vectors. Low-frequency effective signals are extracted, and high-frequency noise is removed, so that essential characteristics of the signals can be better captured. And the data subjected to signal processing is input into a CNN-LSTM-Attention model for deep learning analysis.

The invention discloses a high-frequency choking coil multiplexing interstage matching circuit suitable for a power amplifier chip and a design method of the high-frequency choking coil multiplexing interstage matching circuit, which are applied to the field of wireless communication and aim at the technical defects of large insertion loss, large size or poor matching effect of the existing design scheme of the high-power, high-gain and high-integration power amplifier chip interstage matching circuit. The invention provides an inter-stage matching method for constructing an L-shaped high-pass filter aiming at small-difference port impedance and a segmented multiplexing radio frequency choking coil, and the defects of two traditional design methods are effectively avoided while the problem of small-difference port impedance matching is solved.

A novel hybrid band-pass filter is realized using semiconductor integrated hybrid technology, and includes two acoustic resonance units, and one IPD filter unit. The filter unit may be implemented as a high-pass filter, a low-pass filter, or a band-pass filter. The two acoustic resonance units and the IPD filter unit are arranged on a matching substrate, for example, by way of flip-chip technology and welding of electrodes, and a polymer filled shell is formed external to and surrounding the acoustic resonance units and the IPD filter unit to prevent oxidation and to maintain integrity of the weld points. The first acoustic resonance unit is connected with an input terminal of the IPD filter through a matching inductor, an output terminal of the IPD filter is connected with the second acoustic resonance unit through a matching inductor, and finally, the two acoustic resonance units and the IPD filter unit are integrated on the matching substrate. The band-pass filter is characterized by low loss, high suppression, wide passband and high rectangular coefficient, and also has the advantages of small size, high yield, good batch consistency and suitability for batch production.

The invention discloses a beat frequency comparison device mediated by an optical frequency comb. The beat frequency comparison device comprises the optical frequency comb, a first frequency stabilized laser, a first beat frequency device, a first frequency mixer, a first high-pass filter, a second frequency stabilized laser, a second beat frequency device, a second frequency mixer, a second high-pass filter, a DDS signal generator, a third frequency mixer and a low-pass filter. Frequency-stabilized lasers output by the first frequency-stabilized laser and the second frequency-stabilized laser and an optical frequency comb output by the optical frequency comb are subjected to beat frequency in the first beat frequency device and the second beat frequency device respectively, and first beat frequency and second beat frequency are obtained; the first beat frequency and the second beat frequency are mixed with the carrier envelope offset frequency of the optical frequency comb, and a first sum frequency and a second sum frequency are filtered out; the first sum frequency obtains a synthetic frequency through direct digital frequency synthesis; the second sum frequency and the synthetic frequency are mixed in the third mixer, and then the difference frequency is filtered out through the low-pass filter. According to the invention, beat frequency comparison of frequency-stabilized lasers with different wavelengths can be realized, and the influence of the stability of the optical frequency comb is avoided.

The invention provides a face counterfeiting recognition detection method and device based on image high-frequency noise and a GhostNet network, and the method comprises the steps: 1, selecting a visual converter as a backbone network of a double-flow network, so as to preliminarily extract image features, respectively introducing a GhostNet module into two branches of the double-flow network to carry out deep feature extraction on the image, and introducing a cross-modal attention fusion device behind a backbone network to integrate double-flow features; and adding a perceptron adapter behind the cross-modal attention fusion device so as to realize classification of true and false images. Step 2, using a mask image modeling self-supervision pre-training method to train a double-flow network; and step 3, high-frequency noise in the face image is extracted through a high-pass filter SRM, the high-frequency noise and the low-frequency texture of the image are respectively used as input of the double-flow network and are sent into the double-flow network, and a face counterfeiting recognition result is obtained.

The invention provides a phase-sensitive optical time domain reflectometer system and method, and the system comprises a first polarization-maintaining coupler which is used for dividing laser generated by a DC laser, and obtaining first laser and second laser; the optical fiber measurement front-end module is used for processing the random signal through pulse shaping and multi-carrier modulation technologies to generate an electric signal, and sequentially performing modulation, amplification, Rayleigh scattering and amplification on the first laser after the electric signal is generated to obtain amplified Rayleigh backscattered light; the second polarization-maintaining coupler is used for dividing the second laser to obtain third laser and local oscillation light; the delay optical fiber is used for processing the third laser to obtain delay light; the third polarization-maintaining coupler is used for combining the delayed light and the amplified Rayleigh backscattered light to obtain combined light; the receiver is used for processing the combined light and the local oscillation light to obtain multiple paths of target electric signals; and the oscilloscope is used for processing multiple paths of target electric signals through low-pass and high-pass filters and a phase noise compensation algorithm so as to determine power and phase distribution. The system cost can be reduced.

The invention belongs to the field of motor control, and discloses a rotating speed fluctuation suppression anti-interference control method for a low-speed permanent magnet direct drive motor. According to the method, a first-order linear active disturbance rejection controller is designed in a rotating speed loop, an improved LESO is designed by constructing a state observation error differential term and a coefficient thereof, an integral + differential parallel structure is constructed in a signal transmission path for estimating total disturbance of the rotating speed loop, and the medium-high frequency disturbance tracking speed is increased by using the phase lead characteristic of the differential term. And by combining a second-order IIR Butterworth high-pass filter, high-frequency noise introduced due to the increase of the bandwidth of the observer can be accurately separated and filtered out, the inherent contradiction between bandwidth improvement and noise amplification in the traditional LADRC is broken through, and the improvement of the rotation speed fluctuation suppression ratio under the low-speed working condition is realized. Model-free predictive control is adopted in a current loop, dependence of a system on accurate modeling of motor parameters is reduced, current tracking errors generated under the condition of parameter mismatch are reduced, torque pulsation caused by current fluctuation is reduced, and then rotating speed fluctuation is reduced.

The invention discloses a ping-pong self-stabilization zero-loop ripple suppression precision operational amplifier, which comprises a high-frequency path and a low-frequency path, and is characterized in that the high-frequency path comprises a third transconductance amplifier Gm3 and a fourth transconductance amplifier Gm4; the low-frequency path comprises a first transconductance amplifier Gm1-Gm3, a second transconductance amplifier Gm1-Gm3, a first chopper Cop1-Cop2, a second chopper Cop1-Cop2 and a ping-pong self-stabilization zero ripple suppression loop, and the ping-pong self-stabilization zero ripple suppression loop is used for suppressing offset voltage and output ripple generated by the low-frequency path. The invention designs a ping-pong self-stabilizing zero ripple suppression feedback (AZCFB) loop, the self offset voltage of the ripple suppression loop is eliminated by adopting an automatic zeroing technology, and the residual offset is filtered by a chopper and a filter. In addition, a high-pass filter is used for eliminating the influence of AZCFB loop sampling node direct-current potential deviation on output ripples, and the purpose of restraining the output ripples is achieved.

The invention relates to a double-branch reconstruction type image anomaly detection method for industrial quality inspection, and belongs to the field of anomaly detection. The method comprises the following steps: 1) carrying out pseudo-anomaly synthesis on an original industrial image, and constructing a training sample containing anomaly features; 2) adopting a pre-trained feature extraction network to perform feature extraction on the pseudo abnormal samples and the normal samples; 3) using a Butterworth high-pass filter to extract a high-frequency component of the pseudo abnormal sample; 4) constructing a double-branch reconstruction network, respectively reconstructing the pseudo-abnormal features and the high-frequency components, and realizing feature alignment and reconstruction of pseudo-abnormal data by taking normal sample feature distribution as a target; and 5) verifying the effectiveness of the proposed method in an anomaly detection task through a comparison experiment with a plurality of existing methods. The innovation point of the invention lies in providing a new pseudo-abnormal data generation mechanism, designing a space and high-frequency double-branch reconstruction network, and significantly improving the detection capability of structural and logic anomalies in industrial quality inspection.

A vehicle includes a suspension system having a damping system that includes a plurality of dampers and a plurality of damper valves. The vehicle further includes one or more processors configured to determine energy content of an acceleration signal indicative of acceleration of the vehicle. The one or more processors are further configured to dynamically tune a cutoff frequency of a high-pass filter based on the energy content of the acceleration signal. The one or more processors are configured to filter, via the high-pass filter, a velocity signal derived from the acceleration signal to output a filtered velocity signal. The one or more processors are configured to control operation of the damping system based on the filtered velocity signal.

The invention relates to the technical field of control of a hybrid energy storage system of a direct-current optical storage overcharge station, and provides a double-layer fuzzy dynamic power distribution control method of a hybrid energy storage system, which comprises the following steps of: performing combined optimization by taking a direct-current bus reference current Idcref, a super capacitor state SOCsc and a storage battery state SOCbat as input; a first-layer fuzzy controller is constructed to dynamically adjust a filtering time constant T to serve as a parameter of a high-pass filter, and an initial power distribution instruction is generated; constructing a second-layer fuzzy controller to dynamically adjust the super capacitor protection state instruction Isc; and finally, based on the data obtained in the above process, adjusting the output reference current of the hybrid energy storage battery and the output reference current of the super capacitor in real time. According to the method, the charge states of the storage battery and the super capacitor are comprehensively considered at the same time to dynamically distribute the power, and the economical efficiency and the safety of operation of the hybrid energy storage system are improved.

A high pass filter includes a first stage circuit, a second stage circuit and a third stage circuit. The first stage circuit includes an attenuating circuit configured to receive an amplifier feedback output signal applied from a node connected to an output terminal of the amplifier and to a filter capacitor, and output an attenuated signal by attenuating a voltage level of the amplifier feedback output signal. The second stage circuit is configured to receive the attenuated signal and perform a low filtering operation on the attenuated signal to output a low filter output signal. The third stage circuit is configured to receive the low filter output signal and perform a cross sampling operation on the low filter output signal to output a feedback input signal to a node connected to an input terminal of the amplifier and to the filter capacitor.

An integrated triggering system for a pulsed-power driver is presented. The triggering system includes a pulse distribution circuit that couples externally generated trigger pulses to midplanes of a limited number of stages of the pulsed-power driver. The pulse distribution circuit includes common midplane nodes, each coupled to a group of midplanes of a same stage via respective isolating inductors. Isolating elements are coupled between the common midplane nodes of a same stage. The triggering system further includes a protection circuit configured to reduce coupling of high voltages triggered at the midplanes to external circuits while allowing the trigger pulses to couple to the midplanes. The protection circuit includes a high pass filter comprising a capacitor. The triggering system further includes a midplane biasing circuit configured to provide a reference ground to the midplanes of all stages. The midplane biasing circuit includes a resistive ladder with nodes coupled to the midplanes.

The invention belongs to the technical field of power electronics, and particularly discloses a phase-locked loop based on multistage filtering and compensation and a control method. According to the invention, the method comprises the steps: firstly collecting the voltage when a power grid is unbalanced or abnormal, then obtaining the d-axis and q-axis components of a positive sequence, a negative sequence, a third harmonic and a fifth harmonic through the positive and negative sequence separation, then designing a high-pass filter to filter out the negative sequence, the third harmonic and the fifth harmonic, and finally carrying out the amplitude and phase compensation of the filtered d-axis and q-axis components. And the information is sent to a traditional phase-locked loop for phase locking control, so that more accurate power grid phase information can be quickly obtained. According to the invention, under the conditions of unbalanced power grid voltage, harmonic interference and phase and frequency abrupt change, interference signals of third and fifth harmonics can be filtered out only by designing a set of filtering and compensation parameters, the phase locking speed is not slowed down while the phase locking precision is improved, and in practical application, the application has a wide application prospect. The method has the advantages of high dynamic response speed, simple parameter design, high reliability and the like.

An interface circuit configured in accordance with certain aspects of this disclosure has a high-pass filter and a low-pass filter. The high-pass filter may include a capacitor coupled between an input of the interface circuit and an output of the interface circuit and a resistor coupled between the output of the interface circuit and a voltage reference source. The capacitor and resistor may be configured to provide a low-pass filter that couples the reference voltage source to the output of the interface circuit. The interface circuit provides a feedforward loop that includes the reference voltage source and an amplifier. The amplifier has an input coupled to the input of the interface circuit and an output coupled to the reference voltage source.