A signal processing system is described. The signal processing system includes at least one signal processing path and a control module. The at least one signal processing path includes at least one signal input and at least two filter units. The at least two filter units include at least one hardware filter unit. The at least one signal input is connectable to at least one external electronic component. The control module is connected to the signal input and to the at least two hardware filter units. The control module is configured to determine a frequency response deviation being associated with the at least one external electronic component. The control module further is configured to reconfigure the at least one hardware filter unit such that the frequency response deviation is compensated at least partially. Further, a signal processing method for adapting filter coefficients of a signal processing system is described.

In a control method of controlling a frequency response of a filter for processing an audio signal, the frequency response is defined by an amplitude characteristic and a phase characteristic. The control method includes: acquiring a target amplitude characteristic, a target phase characteristic, and a latency value; obtaining a first frequency response in accordance with the target amplitude characteristic and the target phase characteristic; obtaining a second frequency response by modifying the first frequency response so that a latency of the second frequency response satisfies the latency value; and obtaining a third frequency response to be set for the filter by correcting the second frequency response, the second frequency response being corrected so as to reduce a difference between (i) an amplitude characteristic of the second frequency response and (ii) the target amplitude characteristic.

An equalizer has a first tapped delay line in which N taps (N is a positive integer) are connected in cascade, a second tapped delay line having one tap and connected in parallel with the first tapped delay line, a first multiplier configured to multiply signals extracted from the N taps by corresponding coefficients, a second multiplier configured to multiply a signal output from the second tapped delay line by a second coefficient, and an adder configured to add products of the first multiplier and a product of the second multiplier. The first tapped delay line has a fixed delay, and the second tapped delay line has a variable delay changeable at a 1/M resolution of the fixed delay, where M is a number greater than 1.

An optical communication apparatus includes a level detector, an FIR filter, and a adjustor. The level detector detects level information that discriminates a change in a multi-value level based on an input signal used in a multi-value amplitude modulation system. The FIR filter compensates a signal band of the input signal in accordance with tap coefficients of a plurality of multipliers. The adjustor corrects the tap coefficient of each of the multipliers included in the FIR filter based on the level information detected in the level detector.

Systems and methods for estimating frequency and bandwidth of unknown signals using learned features of a filter pair for the purpose of detecting, separating and tracking these signals in an electronic receiver. The techniques could be part of a signal cueing system that initiates signal detection, separation and tracking or a signal separation and tracking system which is initialized by the cueing system and adaptively updates frequency and bandwidth estimates so as to continuously separate and track signals after initial detection. The methodology is to train the filter responses using machine learning by creating a grid of training data based on signal examples that cover a span of frequencies and bandwidths. The system estimates frequency and bandwidth in real time, inputs those estimates into interpolating lookup tables to retrieve filter coefficients, and provides those filter coefficients to a tunable tracking filter.

The present disclosure relates to receiving an input signal; generating an output signal by integrating a leaked signal over an integration time, wherein the leaked signal is obtained based on a dampening signal, a leak factor and the input signal; and providing the output signal.

A receiver in a communication system may include a buffer and hardware. The buffer may be configured to store a communication signal comprising one or more pulses representative of data. The hardware may be configured to determine whether a data authentication pulse has been superimposed over at least one of the one or more pulses, and authenticate, based on the determination of whether the data authentication pulse has been superimposed over at least one of the one or more pulses, the one or more pulses as a valid representation of the data.

A hardware downscaler and an architecture for implementing a FIR filter in which the downscaler can be arranged for downscaling by a half in one dimension. The downscaler can comprise: hardware logic implementing a first three-tap FIR filter; and hardware logic implementing a second three-tap FIR filter; wherein the output from the hardware logic implementing the first three-tap filter is provided as an input to the hardware logic implementing the second three-tap filter.

A hardware downscaling module and downscaling methods for downscaling a two-dimensional array of values. The hardware downscaling unit comprises a first group of one-dimensional downscalers; and a second group of one-dimensional downscalers; wherein the first group of one-dimensional downscalers is arranged to receive a two-dimensional array of values and to perform downscaling in series in a first dimension; and wherein the second group of one-dimensional downscalers is arranged to receive an output from the first group of one-dimensional downscalers and to perform downscaling in series in a second dimension.

Systems and methods for estimating frequency and bandwidth of unknown signals using learned features of a filter pair for the purpose of detecting, separating and tracking these signals in an electronic receiver. The techniques could be part of a signal cueing system that initiates signal detection, separation and tracking or a signal separation and tracking system which is initialized by the cueing system and adaptively updates frequency and bandwidth estimates so as to continuously separate and track signals after initial detection. The methodology is to train the filter responses using machine learning by creating a grid of training data based on signal examples that cover a span of frequencies and bandwidths. The system estimates frequency and bandwidth in real time, inputs those estimates into interpolating lookup tables to retrieve filter coefficients, and provides those filter coefficients to a tunable tracking filter.