39 results about "Infinite impulse response" patented technology

The invention relates to a multi-mode control method and device for an energy storage converter. The method comprises the following steps: aiming at the operation of an energy storage converter in a network following mode, establishing a second-order infinite impulse response IIR filter, and establishing a low-voltage ride-through control strategy based on conforming to repetitive control; for the operation of the energy storage converter in an off-grid mode, a three-phase four-bridge-arm topology is adopted to provide a zero-sequence path, and a preset proportional multi-resonance control strategy is established; establishing a parallel pre-synchronization control strategy aiming at the operation of the energy storage converter in a network construction mode; and realizing multi-mode control of the energy storage converter based on a low-voltage ride-through control strategy conforming to repetitive control, a preset proportional multi-resonance control strategy and a parallel pre-synchronization control strategy. Any resonant frequency and filtering radius can be set to suppress the harmonic peak, the system stability is ensured, meanwhile, compared with a traditional pre-synchronization method, pre-synchronization can be completed without additional control links by only utilizing the self frequency modulation characteristic, and control resources are greatly saved.

Systems, methods, software, and devices are disclosed herein that transform spatial input into modal output comprising learned modal components of an impulse response. A neural network interpolates the modal components of the impulse response based on a desired sound source direction represented in the spatial input. The learned modal components are then used to determine coefficients for an infinite impulse response filter that transforms anechoic audio into spatialized audio. The spatialized audio provides a directional effect to a listener as having arrived from the desired sound source direction.

The invention relates to the technical field of audio signal processing, and provides a self-adaptive frequency compensation system for small-sized multichannel sound equipment and a control method thereof, and the self-adaptive frequency compensation system for the small-sized multichannel sound equipment comprises an audio signal acquisition module, a frequency analysis module and a dynamic filtering compensation module which are electrically connected with one another in a communication manner; the audio signal acquisition module is used for acquiring an audio signal at a preset sampling rate through the ADC module; the frequency analysis module is used for executing FFT (Fast Fourier Transform) on the acquired audio signals to calculate energy distribution of corresponding frequency bands and identify missing or attenuated frequency ranges; and the dynamic filtering compensation module is used for selecting an FIR (Finite Impulse Response) or IIR (Infinite Impulse Response) filter according to a frequency analysis result, dynamically adjusting a filter coefficient and a gain value, performing real-time filtering processing on the audio signal and outputting a compensated audio signal. The missing frequency is identified and compensated by performing analysis, filtering, equalization and other processing on the audio signal.

This system for voice data processing comprises: an analog voice processing unit that receives an input of an analog voice signal and generates a digital voice signal; and a feature extraction unit that, when the digital voice signal is input, operates as an infinite impulse response (IIR) filter to filter the digital voice signal, and operate as an RNN to extract a voice feature from the filtered digital voice signal.

The invention relates to a digital filter circuit for calculating an exponential variance of a signal, a corresponding system on chip and a method of operation. A digital signal processing method includes: applying a first infinite impulse response filtering operation to a digital input signal to produce a first filtered signal; performing a mathematical transformation on a combination of the digital input signal and the first filtered signal to produce a transformed signal; applying a second infinite impulse response filtering operation to the transformed signal to produce a second filtered signal; performing a scaling operation on the second filtered signal to generate a scaled signal; and combining the second filtered signal and the scaled signal to produce a digital output signal indicative of a statistical characteristic of the digital input signal.

The apparatus and methods of the present invention provide improved accuracy of response for a tactile transducer included in a body-mounted device such as a headphone, VR / AR headset or similar device. Accuracy is increased through the application of digital signal processing, such as with Infinite Impulse Response filters or Finite Impulse Response filters.

In one aspect, a system-on-a-chip (SoC) includes a plurality of programmable channels. The SoC includes an analog front end in communication with the plurality of programmable channels. The SoC includes a processing element array configured to receive output signals from the analog front end. The SoC includes an instruction memory supporting an instruction set architecture for supervising computing task of the processing element array, wherein the instruction memory comprises infinite impulse response instructions, discrete Fourier transform instructions, convolutional layer instructions, and fully connected layer instructions, wherein the processing element array is configured to execute instructions in the instruction memory, which, when executed, cause the processing element array to perform functions of a confusion matrix based teach-student convolutional neural network for low power and low latency, and perform functions of a sparsity controller for lower power.

Provided is a low-complexity howling suppression system and method for a portable Karaoke system. When performing howling suppression, at least one infinite impulse response (IIR) filter is introduced to estimate the acoustic feedback picked up by a microphone from a real environment, and thereby eliminate the acoustic feedback from the microphone input signal.

The application discloses a decision feedback equalizer for PAM4 encoding band infinite impulse response filter, belongs to the field of signal processing, and comprises a high-pass filter and a linear equalizer, a decision feedback adder, and an infinite impulse response filter coefficient feedback control module; noise filtering is performed on a high-speed signal, low-frequency attenuation of the high-speed signal is compensated, a tailing effect in a frequency response is eliminated, high-speed inter-symbol interference is suppressed and eliminated, and an offline post-cursor in the frequency response is fed back and compensated; meanwhile, aiming at PAM4 encoded data, an RLM (Level separation mismatch ratio) calibration module and a clock data recovery circuit are added, which are used for improving the speed of clock receiving and recovery, and due to the addition of more high-speed modules, the load of the equalization adder is increased; the application uses a layout planning of a double-difference six-port mutual inductance bridge type (T-coil) inductive network, and bandwidth is expanded by using inductive peaking technology.

The invention provides a low-noise digital bandwidth compensation method for high-order frequency response of a sensor. The signal-to-noise ratio in the compensation process is remarkably improved while the signal bandwidth is expanded. The method comprises the following steps: S1, constructing a lumped parameter model based on a sensor actual measurement physical process, and deducing and calculating an overall high-order transfer function of the lumped parameter model; s2, acquiring actual sensor frequency response data and fitting the actual sensor frequency response data to determine model parameters in the high-order transfer function; s3, constructing an ideal expectation response model according to the target compensation bandwidth, and dividing the transfer function of the ideal expectation response model by the fitting transfer function obtained in the step S2 to obtain a continuous time transfer function of the compensation filter; s4, discretizing the continuous time transfer function of the compensation filter to obtain an infinite impulse response filter; and S5, cascading the infinite impulse response filter with a low-pass digital filter to form a final compensation filter to carry out bandwidth compensation on the output signal of the sensor.

Systems, methods, software, and devices are disclosed herein that transform a spatial input into a modal output that includes learned modal components of impulse responses. A neural network interpolates the modal components of impulse responses based on a desired sound source direction represented in the spatial input. The learned modal components are then used to determine coefficients of an infinite impulse response filter used to convert anechoic audio to spatialized audio. The spatialized audio provides a directional effect to a listener from the desired sound source direction.

The invention relates to the field of signal processing, in particular to a multi-lead signal filtering method and system based on an IIR (Infinite Impulse Response) high-pass filter. Acquiring a plurality of historical input signal sequences of the multi-lead signals in the previous time zone, and respectively performing signal prediction to obtain a plurality of predicted input signal sequences; randomly configuring a plurality of filtering coefficients, and calculating to obtain historical filtering cost and multi-lead filtering cost in combination with a plurality of historical filtering coefficients; performing correction calculation on the multi-lead filtering cost according to the plurality of prediction input signal sequences in combination with the prediction error coefficient to obtain a corrected multi-lead filtering cost; and according to the plurality of predicted input signal sequences and the plurality of filtering coefficients, carrying out filtering prediction, obtaining signal fitness, carrying out correction calculation on historical filtering cost, obtaining corrected historical filtering cost, carrying out filtering coefficient optimization, obtaining a plurality of optimal filtering coefficients, and carrying out filtering processing. The quality of multi-lead signal filtering is improved, and the reliability and accuracy of signals are improved.

Technologies of a device-based Fast Presence Detection (FPD) for a contactless sleep-tracking device are described. One method of a sleep-monitoring device includes receiving radar data from a radar unit. The radar data includes i) first data representing a breathing waveform associated with a user, ii) a first set of range values, and iii) a first set of confidence values associated with the first data. The method determines absolute magnitude values, first infinite impulse response (IIR) values using the first set of range values, and second IIR values using the first set of confidence values. The method determines a first event representing the user located in a first region using the absolute magnitude values and the first and second IIR values. The method sends an indication of the first event to a cloud service that causes one or more devices in the environment to perform one or more actions.

An infinite impulse response optical filter includes at least one N x N multimode optical coupler and one or more mode-scrambling loops. The at least one N x N multimode optical coupler has N input ports and N output ports. One of the N input ports is coupled to a laser source that generates a light beam. The at least one N x N multimode optical coupler splits the light beam into a plurality of sub-beams divided in an amplitude domain across the N output ports. One of the N output ports is coupled to a detection system. The one or more mode-scrambling loops includes a mode scrambler and couples one of the N output ports to one of the N input ports. The one or more mode-scrambling loops produce a temporal incoherence and a spatial incoherence that reduce a peak power and a speckle contrast of the light beam.

An example method of operation may include determining a frequency response to a measured chirp signal detected from one or more speakers, determining an average value of the frequency response based on a high limit value and a low limit value, subtracting a measured response from a target response, and the target response is based on one or more filter frequencies; determining a frequency limited target filter with audible parameters based on the subtraction, and applying an infinite impulse response (IR) biquad filter based on an area defined by the frequency limited target filter to equalize the frequency response of the one or more speakers.

A computer-implemented method for mitigating noise from QRS complexes extracted from an electrocardiogram (“ECG”) signal includes: pre-processing an acquired ECG signal to obtain a pre-processed ECG signal identifying narrow pulses in the pre-processed ECG signal; extracting QRS complexes from the acquired ECG signal; cross-checking the extracted QRS complexes with the identified narrow pulses; and rejecting pulses in the extracted QRS complexes that synchronize with the identified narrow pulses to obtain denoised QRS complexes. The pre-processing includes applying a first bandpass filter comprised of finite and infinite impulse response filters; and applying a second bandpass filter comprised of an infinite impulse response filter.

A mode adaptive coefficient filter system for a physiological patent monitoring (“PPM”) method and apparatus provides an electrocardiogram (“ECG”) display function with an improved resolution of artifact issues when large baseline offsets occur to input signals. In one aspect of the disclosure the method and system provide an ECG monitoring and display function using the mode adaptive coefficient filter system for an active filter process provides for an improved ECG artifact resolution minimizing discontinuous wave forms when applied to an input signal that achieves improved signal quality and reduced latency in signal rendering. The method may be utilized for both infinite impulse response (“IIR”) and finite impulse response (“FIR”) systems with similar filter structures.

The invention discloses an error feedback noise shaping successive approximation analog-to-digital converter circuit, which comprises a successive approximation analog-to-digital converter, and a conversion residual voltage extraction amplification circuit and a switched capacitor infinite impulse response circuit which are electrically connected with the successive approximation analog-to-digital converter, one end of the conversion residual voltage extraction and amplification circuit is connected with the capacitor array digital-to-analog converter and is used for acquiring a conversion residual voltage signal, and the other end of the conversion residual voltage extraction and amplification circuit is connected with one end of the switched capacitor infinite impulse response circuit; and the amplified conversion residual voltage signal is fed back to the switched capacitor infinite impulse response circuit, and noise shaping is carried out through the noise shaping circuit. The invention discloses an error feedback noise shaping successive approximation analog-to-digital converter circuit with a simple structure and a conversion method thereof, which can realize error feedback noise shaping by utilizing a charge sharing summation mode, avoid the use of an operational amplifier and reduce power consumption.

A method of digital signal processing includes applying a first infinite impulse response filtering operation to a digital input signal to produce a first filtered signal, performing a mathematical transformation on a combination of the digital input signal and the first filtered signal to produce a transformed signal, applying a second infinite impulse response filtering operation to the transformed signal to produce a second filtered signal, performing a scaling operation on the second filtered signal to produce a scaled signal, and combining the second filtered signal and the scaled signal to produce a digital output signal indicative of a statistical property of the digital input signal.

The invention discloses a video metadata generation method, device and equipment and a readable storage medium, and the method comprises the steps: receiving a target video frame of to-be-generated metadata, and determining a previous video frame of the target video frame as a reference video frame; calculating a perception difference between the target video frame and the reference video frame; determining the redundancy of the target video frame according to the perception difference; determining initial metadata corresponding to the target video frame according to the redundancy; and carrying out infinite impulse response time domain filtering on the initial metadata to obtain target metadata. According to the method, the video metadata calculation burden is relieved, the calculation power overhead is reduced, the power consumption is reduced, and the cost is saved.

This invention discloses a disturbance compensation method based on a cyclic adaptive identification radial basis function neural network. The method includes: first, introducing an error transformation function and calculating the instantaneous quantity, then averaging it to obtain the average instantaneous quantity. Next, acquiring the q-axis current, first filtering it using an infinite impulse response filter, then filtering it a second time using a moving average filter, and constructing a trend curve of the q-axis current. Differentiating this trend curve using a backward differential, and then performing phase response compensation. Combining this compensation signal with the identification rate to generate the operating condition identification quantity. Finally, constructing a cyclic adaptive identification radial basis function neural network, using the average instantaneous quantity and the operating condition identification quantity as inputs, injecting the compensation quantity generated by the network into the current loop to achieve closed-loop compensation control of the system. By using this invention, efficient feedforward compensation for periodic disturbances is achieved. This invention can be widely applied in the field of permanent magnet synchronous motor control technology.

An infinite impulse response filter includes at least one N x N multimode optical coupler and one or more mode scrambling loops. The at least one N x N multimode optical coupler has N input ports and N output ports. One of the N input ports is coupled to a laser source that generates a light beam. The at least one N x N multimode optical coupler splits the light beam into a plurality of sub-beams that are partitioned in an amplitude domain across the N output ports. One of the N output ports is coupled to a detection system. The one or more mode scrambling loops include a mode scrambler and couple one of the N output ports to one of the N input ports. The one or more mode scrambling loops produce temporal incoherence and spatial incoherence that reduce peak power and speckle contrast of the light beam.

This invention discloses a method, apparatus, device, and medium for PPG spectrum enhancement based on adaptive weighting. The method includes: performing a Fast Fourier Transform on the PPG signal after removing motion artifacts to generate continuous spectral frame data, and calculating the signal-to-noise ratio (SNR) of the spectral frame data; quantizing the user's current motion level based on the motion acceleration component signal, and dynamically determining the fusion weight between the current spectral frame data and historical spectral frame data based on the calculated SNR of the current spectral frame data; fusing the current spectral frame data and historical spectral frame data using an infinite impulse response recursive weighted accumulation algorithm based on the determined fusion weight between the current spectral frame data and historical spectral frame data to obtain enhanced current spectral frame data; and detecting the user's current heart rate based on the enhanced current spectral frame data. This invention denoises the PPG signal with low computational overhead, improving the accuracy of user heart rate detection.

The invention provides a time-space synchronous acquisition method for video sound wave data, which belongs to the technical field of power transmission and transformation engineering, and comprises the following steps: synchronously acquiring video images and sound wave signals, and improving the sound wave measurement precision by adopting cross-correlation time delay estimation and IIR (Infinite Impulse Response) notch filtering; a double-layer game optimization model and a forward clustering method are utilized to realize heterogeneous data stream time alignment, non-uniform motion state parameters of a probe are estimated based on unscented Kalman filtering recursion, and a B-spline curve is adopted to fit a nonlinear mapping function of a depth position and time to correct spatial positioning deviation in a variable speed scene. Characteristic level semantic verification is achieved through a multi-mode space-time alignment mapping model, a synchronous alignment data set containing accurate space-time annotation is output, and the problem that due to non-uniform-speed motion of a probe, the depth position and time are in a nonlinear relation, and consequently video sound wave data space positioning error accumulation is caused is solved.

Apparatus and associated methods relate to global implied volatility assessment in a dynamic inertia system. In an illustrative example, a global implied volatility assessment system (GIVAS) may include a market data standardization module configured to receive updates of option contracts of a cryptocurrency from multiple data tracking devices. For example, the option contracts value may be prone to outlying events causing discontinuity in a time-series of the value. The received update may, for example, be aggregated into a global order book (GOB) including instantaneous representations of the option contracts among the multiple data tracking devices. Based on the GOB, the GIVAS may generate a global raw volatility characterization (GRVC) of the option contracts. An infinite impulse response filter may be applied to the GRVC to generate a transient-dampened volatility characterization. Various embodiments may advantageously generate a transient-dampened volatility metric usable for analyzing the option contract value by external code.

The invention discloses a decision feedback equalizer for a PAM4 coding band infinite impulse response filter, which belongs to the field of signal processing and comprises a high-pass filter, a linear equalizer, a decision feedback adder and an infinite impulse response filter coefficient feedback control module. Noise filtering is carried out on the high-speed signals, low-frequency attenuation of the high-speed signals is compensated, the trailing effect in frequency response is eliminated, high-speed inter-symbol interference is suppressed and eliminated, and offline Post-cursor in the frequency response is fed back and compensated; meanwhile, aiming at PAM4 coded data, an RLM (Level Segment Mismatch Rate) calibration module and a clock data recovery circuit are added to improve the clock receiving and recovering speed, and due to the addition of more high-speed modules, the load of the balance adder is increased, the layout planning of a double-difference six-port mutual inductance bridge type (T-coil) inductance network is applied, and the balance adder has the advantages that the structure is simple, the cost is low, and the cost is low. And the bandwidth is expanded by using an inductance peaking technology.

A quad-rotor unmanned aerial vehicle is high in maneuverability and wide in application, meter-scale positioning can be provided outdoors in combination with a GNSS, but positioning fails in complex environments such as tunnels. The UWB technology is anti-interference and low in cost, can provide positioning information in a complex environment, but needs to optimize robustness and fusion efficiency. The invention provides a quad-rotor unmanned aerial vehicle positioning system in a GNSS (Global Navigation Satellite System) denial environment in order to solve the positioning problem of a quad-rotor unmanned aerial vehicle in a satellite denial environment. The construction of the system comprises the following steps of: carrying out IIR (Infinite Impulse Response) low-pass filtering preprocessing on IMU data; calibrating UWB anchor point distance measurement by using a linear regression method; calibrating UWB anchor point positions based on a nonlinear least square method; constructing an unscented Kalman filter model containing IMU prediction, UWB and radar updating; uWB outliers are removed through double criterion detection, and the six-degree-of-freedom pose is output by fusing multi-source data. According to the method, real-time centimeter-level calculation of the six-degree-of-freedom pose of the unmanned aerial vehicle can be realized with low-cost hardware in a GNSS denial environment, and reliable estimation is provided for autonomous navigation of a complex scene.

The present disclosure relates to clock synchronization using periodic external reference calibration. According to one embodiment, a touch controller includes an oscillator that generates a low frequency reference signal, a phase locked loop that generates a high frequency clock signal based on the reference signal, and a calibration circuit that measures a timing difference between the high frequency clock and a periodically enabled external reference clock from a processor. The calibration circuit performs multiple measurements during an initial enablement period and averages the validated measurements to establish a baseline timing parameter. During subsequent enablement periods, new measurements are filtered with previous values using an infinite impulse response filter. A clock divider generates a timing signal using a nominal ratio and periodically adjusts between the nominal ratio and a modified ratio based on the filtered measurements. The touch controller performs capacitance measurements on touch panel electrodes, transmits uplink signals through voltage modulation, and demodulates downlink signals during defined time slots.

The invention relates to the technical field of integrated circuits, and provides a digital filtering device, a chip and a control method thereof, and the device comprises a first delay module which is used for latching k delay input signals; the second delay module is used for latching k + 1 delay output signals; the input end of the first multipath selection module is connected with the output end of the first delay module and the output end of the second delay module; the second multi-path selection module is used for acquiring a multiplication coefficient; the counting module is used for selecting corresponding input data and multiplication coefficients in a time-sharing manner; the multiplication module is used for generating a multiplication result; the third delay module is used for latching a preorder accumulation result; the input end of the addition module is connected to the output end of the multiplication module, and the addition module is used for adding the current multiplication result and the preorder accumulated value; the shifting module is used for obtaining a scaling result; and the first rounding module is used for performing bit width adjustment on the scaling result to obtain a current output signal. The device is used for carrying out Butterworth infinite impulse response filtering.