14 results about "Feedforward filter" patented technology

The invention discloses a Bluetooth headset noise reduction coefficient generation method, which is applied to an active noise reduction path, and comprises the following steps: acquiring multiple groups of preset filter coefficients of a feed-forward controller through offline modeling, and acquiring a feed-forward filter coefficient of the feed-forward controller corresponding to an initial wearing state; calculating and obtaining a suboptimal transfer function of a feed-forward controller corresponding to the current wearing state by counting parameter data of a preset frame number corresponding to the feed-forward filter coefficient; obtaining the optimal transfer function of the feedforward controller coefficient according to the suboptimal transfer function and a plurality of groups of preset filter coefficients; and finally obtaining a second-order section filter coefficient corresponding to the optimal transfer function. The problem of poor noise reduction effect caused by the fact that the coefficient is fixed by the current wearing state of the current Bluetooth earphone can be avoided.

The invention provides a sequence detection device which comprises a feed-forward filter and a sequence detection circuit. The feed-forward filter is used for processing a received signal to generate an equalized signal. The sequence detection circuit is used for carrying out sequence detection on the equalization signal to generate and output a symbol sequence. The sequence detection circuit comprises a region estimation circuit and a grid selection circuit. The region estimation circuit is configured to classify each of a plurality of samples included in the equalized signal into one of a plurality of regions. The grid selection circuit is used for selecting one of a plurality of grid schemes to perform branch metric calculation according to the area estimation results of two of the plurality of samples output by the area estimation circuit.

The embodiment of the invention provides an active noise reduction method, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring environment noise time domain data acquired by a feedforward microphone, ear canal noise time domain data acquired by a feedback microphone and loudspeaker time domain data output by a loudspeaker; determining acoustic coupling data based on the environmental noise time domain data, the ear canal noise time domain data and the loudspeaker time domain data; the acoustic coupling data is used for representing the coupling condition of the earphone and the auditory meatus; determining a compensation transfer function according to the acoustic coupling data; injecting the compensation transfer function into a feed-forward filter and a feedback filter to obtain a compensated feed-forward filter and a compensated feedback filter; based on the compensated feedforward filter and the compensated feedback filter, processing the environment noise time domain data and the ear canal noise time domain data to obtain reverse-phase sound waves; the anti-phase sound waves are used for active noise reduction. The method is used for improving the active noise reduction effect.

A sequence detection device includes a feed-forward filter, a feedback filter, a combining circuit, a decision circuit, and a sequence detection circuit. The feed-forward filter processes a received signal to generate a first equalized signal. The feedback filter processes a symbol decision signal to generate a second equalized signal. The combining circuit combines the first and second equalized signals to generate a sample signal. The decision circuit performs hard decision upon the sample signal to generate the symbol decision signal. The sequence detection circuit performs sequence detection upon the first equalized signal, and includes a region estimation circuit and a trellis selection circuit. The region estimation circuit is independent of the decision circuit, and categorizes each sample of the sample signal into one region. The trellis selection circuit selects one trellis scheme for branch metric calculation according to region estimation results output from the region estimation circuit.

The present invention discloses a signal processing optimization method and system for training BCJR using the least squares method, which belongs to the technical field of short-distance high-speed optical communication signal processing. At the receiving end, the signal is processed by a feedforward filter FFE and then processed by a feedback filter PF; the output of the feedback filter PF and the training sequence are used to perform channel estimation using the least squares LS algorithm; based on the channel response estimated by the least squares LS algorithm, the BCJR algorithm is used for soft decision decoding to calculate the maximum a posteriori probability MAP of each symbol; based on the maximum a posteriori probability MAP of each symbol, the bit-by-bit log-likelihood ratio is calculated; and the signal is restored based on the obtained log-likelihood ratio. The present invention can solve the problem that the performance of the traditional BCJR algorithm is significantly reduced when facing severe inter-symbol interference. By optimizing the coefficients of the BCJR algorithm, it is made closer to the original channel response, thereby effectively reducing the bit error rate and improving system performance.

Aspects relate to mechanisms for implementing a frequency domain phase constraint at a decision feedback equalizer (DFE) of a wireless device. The DFE includes a feedforward filter (FFE) operating in a frequency domain. The FFE further includes an accumulator having a main-tap constraint configured to maintain a constant value of a main-tap of the DFE and a phase constraint module configured to maintain a constant phase of a frequency bin associated with the main-tap to produce a timing error used for timing recovery of a receiver of the wireless device.

An audio device comprising an interface with a receiver with an output sound based on an audio output signal; a feed-forward microphone; a distributor for provision of a first feed-forward input signal and a second feed-forward input signal; a feed-back microphone; a feed-forward filter for provision of a feed-forward output signal; an intermediate filter module, wherein the intermediate filter module comprises a hear-through filter based on the second feed-forward input signal and wherein the intermediate filter module is configured to provide the intermediate signal based on the hear-through signal and the audio input signal; a first mixer for provision of an error signal based on the feed-back input signal and the intermediate signal; a feed-back filter signal based on the error signal; and a second mixer for provision of the audio output signal based on the feed-forward output signal and the feed-back output signal.

The invention relates to an active noise reduction method and hearing aid equipment. The method is applied to a hearing aid device, and specifically comprises the following steps: in an active noise reduction mode, obtaining current frequency response information and original target frequency response information of a feed-forward filter; determining the current noise reduction depth of the hearing aid device according to the current frequency response information and the original target frequency response information; and if the current noise reduction depth does not reach the target noise reduction depth, updating the active noise reduction parameter of the hearing aid device, re-determining the current frequency response information of the feed-forward filter according to the updated active noise reduction parameter, and returning to execute the step of determining the current noise reduction depth of the hearing aid device according to the current frequency response information and the original target frequency response information. Wherein the target noise reduction depth is determined based on the hearing loss information of the target object; and if the current noise reduction depth reaches the target noise reduction depth, performing active noise reduction in the hearing aid device according to the active noise reduction parameter of the hearing aid device. By adopting the method, the active noise reduction effect can be improved.

The application discloses an earphone noise reduction method and device, electronic equipment and a computer readable storage medium, and is applied to an earphone. The earphone noise reduction method comprises the following steps: detecting a noise signal direction corresponding to an external noise signal; determining corresponding feedforward filter coefficients according to the noise signal direction; and performing earphone noise reduction according to the feedforward filter coefficients. The application solves the technical problem of poor active noise reduction effect of the earphone.

The invention provides a sequence detection device and a sequence detection method. The sequence detection device comprises a feed-forward filter, a feedback filter, a combining circuit, a decision circuit and a sequence detection circuit. The feed-forward filter processes a received signal to generate a first equalized signal. The feedback filter processes the symbol decision signal to generate a second equalized signal. The combining circuit combines the first and second equalized signals to generate a sample signal. The decision circuit performs a hard decision on the sample signal to generate the symbol decision signal. The sequence detection circuit performs sequence detection on the first equalization signal and comprises a region estimation circuit and a grid selection circuit. The region estimation circuit classifies each sample in the sample signal into a region. The grid selection circuit selects a grid scheme for branch metric calculation according to the area estimation result output by the area estimation circuit.

A sequence detection device includes a feed-forward filter and a sequence detection circuit. The feed-forward filter processes a received signal to generate an equalized signal. The sequence detection circuit performs sequence detection upon the equalized signal to generate and output a symbol sequence. The sequence detection circuit includes a region estimation circuit and a trellis selection circuit. The region estimation circuit categorizes each of samples included in the equalized signal into one of regions. The trellis selection circuit selects one of trellis schemes for branch metric calculation according to region estimation results of two of the samples output from the region estimation circuit.

A sequence detection device includes a feed-forward filter and a sequence detection circuit. The feed-forward filter processes a received signal to generate an equalized signal. The sequence detection circuit performs sequence detection upon the equalized signal to generate and output a symbol sequence. The sequence detection circuit includes a region estimation circuit and a trellis selection circuit. The region estimation circuit categorizes each of samples included in the equalized signal into one of regions. The trellis selection circuit selects one of trellis schemes for branch metric calculation according to region estimation results of two of the samples output from the region estimation circuit.

The application discloses a feedforward voltage sampling double-compensation active electromagnetic interference filter based on impedance mismatch and a design method thereof, and belongs to the field of power electronics, which comprises the following steps: constructing an equivalent circuit according to an impedance mismatch principle, determining a circuit topology of the filter according to the equivalent circuit, determining resistance and capacitance values according to a cutoff frequency and impedance of an RC circuit, determining an amplification multiple according to a unit gain bandwidth of an operational amplifier, determining a turns ratio of a transformer according to the impedance mismatch principle and the amplification multiple, determining a resistance value of a voltage injection module according to a damping effect, and determining a capacitance value of a current injection module according to a leakage constraint. The method disclosed by the application can widen an interference suppression frequency band, improve an insertion loss, realize impedance matching, and greatly reduce the volume of the filter due to the parameter design characteristics of the feedforward filter, thereby adapting to the demand of a new generation of power electronic equipment for small volume and high suppression effect.

This utility model discloses a dual-feed over-ear noise-canceling headphone, relating to the field of over-ear noise-canceling headphone technology. It includes an earphone shell, with a speaker mounting shell internally connected to it. A speaker is mounted on the right side of the speaker mounting shell, and a silicone pad is attached to the outer side of the speaker mounting shell. A bracket is rotatably connected to the outside of the earphone shell, and an extension bracket is slidably connected to the inner side of the bracket. A noise-canceling component is mounted on the other side of the speaker mounting shell. This dual-feed over-ear noise-canceling headphone uses a feedforward microphone and a feedback microphone to collect external ambient noise and residual noise within the earcups, respectively. The earphone shell also houses a speaker for playing audio signals and processed noise-canceling signals. The headphone includes a noise-canceling control circuit, including a feedforward filter and a feedback filter, which process the noise signals collected by the feedforward and feedback microphones, respectively.