H03H2017/009

Discrete Time Charge Sharing IIR Bandpass Filter Incorporating Clock Phase Reuse

A novel and useful discrete time IIR bandpass filter is disclosed that takes advantage of clock phase reuse thereby leading to significant improvements in filtering, especially stop band rejection in comparison to prior art filters. The bandpass filter of the present invention achieves improved filtering performance without adding any additional clock phases to the circuit. In particular, reuse of the already existing clock phases increases the order and performance of the filter. The invention exploits reuse of the clock phases to provide higher order filtering along with a discrete time IIR filter design which is capable of operating at high frequency. Consequently, much better filtering is achieved and the quality factor of the filter is improved leading to sharper transition bands especially for close-in band blockers in modern 4G/5G receivers.

METHOD OF USING IIR FILTERS FOR THE PURPOSE OF ALLOWING ONE AUDIO SOUND TO ADOPT THE SAME SPECTRAL CHARACTERISTIC OF ANOTHER AUDIO SOUND

An audio sampler is provided, comprising a sample library having stored therein a plurality of main audio samples and a plurality of infinite impulse response (IIR) coefficients divided into subset, each subset corresponding to one of the main audio samples; a sample playback engine comprising an input receiving the main audio samples and outputting a playback signal; and, an IIR filter receiving the corresponding subset of IIR coefficients and applying the IIR filter to the main audio samples or to the playback signal.

DIGITAL SIGNAL PROCESSING USING SLIDING WINDOWED INFINITE FOURIER TRANSFORM
20180365194 · 2018-12-20 ·

Systems and methods for digital signal processing using a sliding windowed infinite Fourier transform (SWIFT) algorithm are described. A discrete-time Fourier transform (DTFT) of an input signal is computed over an infinite-length temporal window that is slid from one sample in the input signal to the next. The DTFT with the temporal window at a given sample point is effectively calculated by phase shifting and decaying the DTFT calculated when the temporal window was positioned at the previous sample point and adding the current sample to the result. The SWIFT algorithms are stable and allow for improved computational efficiency, improved frequency resolution, improved sampling, reduced memory requirements, and reduced spectral leakage.

Circuitry for Measurement of Electrochemical Cells

Circuitry for processing an output of an electrochemical cell comprising a first electrode and a second electrode, the circuitry comprising: drive circuitry configured to apply a stimulus to the first electrode; measurement circuitry configured to obtain an output signal from the output of the electrochemical cell in response to the stimulus; processing circuitry configured to: apply the stimulus to a model of the electrochemical cell; obtain a modelled output signal from the model in response to the stimulus; determine an error in the output signal based on the output signal and the modelled output signal.

SIGNAL REMOVAL TO EXAMINE A SPECTRUM OF ANOTHER SIGNAL
20180089558 · 2018-03-29 ·

A method for removing an extracted RF signal to examine a spectrum of at least one other RF signal includes receiving a mixture signal by an ADC. The mixture signal includes a plurality of separate signals from different signal sources. The mixture signal is digitized by the ADC. A first digitized signal and a second digitized signal are generated that are the same. The first digitized signal is delayed a predetermined time delay and the second digitized signal is processed in a neuromorphic signal processor to extract an extracted signal. The predetermined time delay corresponds to a delay embedding in the neuromorphic signal processor. A phase delay and amplitude of the extracted signal is adjusted based on a phase delay and amplitude of the first digitized signal. An adjusted extracted signal is cancelled from the first digitized signal to provide an input examination signal for examination.

Low latency and low complexity phase shift network

A high performance, low complexity phase shift network may be created with one or more non-first-order all-pass recursive filters that are built on top of a plurality of first-order and/or second-order all-pass recursive filters and/or delay lines. A target time delay, whether large or small, may be specified as a constraint for a non-first-order all-pass recursive filter. A target phase response may be determined for the non-first-order all-pass recursive filter. Phase errors between the target phase response and a calculated phase response with filter coefficients of the non-first-order all-pass recursive filter may be minimized to yield a set of optimized values for the filter coefficients of the non-first-order all-pass recursive filter.

METHOD FOR REALIZING SPEAKER ARRAY-ORIENTED MULTIPLE FILTER SYSTEM, DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM
20250125791 · 2025-04-17 ·

The present disclosure provides a method for realizing a speaker array-oriented multiple filter system and a related device, belonging to the technical field of audio systems. The method includes: merging, before real-time audio processing, filters of a plurality of sound effect modules in an audio signal processing flow offline to form a finite impulse response (FIR) multiple filter network. The present disclosure places most of computation in an offline processing flow by merging the filters of the plurality of sound effect modules in offline convolution, so that the computation amount of real-time processing is greatly reduced.

FILTERING ARCHITECTURE WITH MINIMIZED TRANSIENTS

A digital microphone includes an analog-to-digital converter (ADC) and a digital filter system coupled to the ADC, wherein the digital filter system switches between a standard IIR filter architecture and a polyphase IIR filter architecture.

Event analysis and display

Techniques and apparatus presented herein are directed toward monitoring an electric power delivery system to detect and locate a power generation event. A power generation event may include a tripped generator, a loss of a transmission line, or other loss of power generation. To detect the event, an analysis engine may receive and monitor input data. A detection signal may be generated based on the input data. Upon detecting the event, the analysis engine may determine a source and propagation of the event through the delivery system. Based on the source and propagation of the event, the analysis engine may determine the location of the event. The analysis engine may generate an overlay with the input data to provide the location and other information about the event to a user such that remedial action can be taken to resolve the event and restore the lost power generation.

Filter assembly, in particular for a control loop for controlling the position of at least one element
12468115 · 2025-11-11 · ·

A filter assembly, for example for a control loop for controlling the position of at least one element, comprises first and second filters. The first filter suppresses an undesired component in a signal to be filtered. The first filter produces a first signal delay in a first frequency range. The second filter produces a second signal delay in the first frequency range. The second signal delay at least partly compensates the first signal delay.