Finite Impulse Response


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Finite Impulse Response

(electronics, DSP)
(FIR) A type of digital signal filter, in which every sample of output is the weighted sum of past and current samples of input, using only some finite number of past samples.
References in periodicals archive ?
FIR filter - A common type of filter known as a finite impulse response filter.
Modern audio DACs usually have this anti-imaging filter implemented with a combination of two filters: a sharp cutoff digital finite impulse response (FIR) filter, followed by a relatively simple low-order analog filter.
Multilayer Perceptron, however, weights of neuron synapses in hidden layer are changed with Finite Impulse Response filters or Lattice-Ladder filters, correspondingly.
The chosen filter here is an 11-tap finite impulse response filter exhibiting no ISI at the decision times (symbol period T).
Finite Impulse Response (FIR) filters with variable magnitude and phase characteristics in the pass-band (also called tunable digital filters), are often required in several signal processing applications.
He thus includes numerical problems highlighting fundamental concepts, as well as problems using functions from MATLAB and Signal Processing Toolbox, in his each of his chapters covering time-domain analysis and z transform, frequency- domain analysis, infinite impulse response filters, finite impulse response filters, filter realizations, quantized filter analysis, and hardware design using digital signal processor chips.
Finite impulse response (FIR) filters are implemented using a finite number of delay taps (n) on a delay line and n computation coefficients to compute the filter function.
Channel simulation is based on impulse responses, which are loaded from dynamic random access memory to complex finite impulse response filters.
The authors, who works for Motorola, discusses both conventional and subsampling digital receivers, fast Fourier and discrete Fourier transforms, finite impulse response (FIR) and infinite impulse response (IIR) filters, sinusoids, channel models, methods for making symbol decisions, synchronization, and bit error rate.
Some of the various types of filters used today are Nyquist or raised cosine, transmitter-receiver matched, Gaussian and Chebyshev equiripple finite impulse response (FIR).

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