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The number of primitives is relative to the number of input sampled data.
In this stage, the input sampled at kHz is first decomposed into its frequency components with a filterbank consisting of gammatone filters (also called channels).
The basic idea is to eliminate the estimation bias by adding a correction term in the least squares (LS) estimates, a set of stable digital prefilters are suitably designed to preprocess the input sampled data from multi-input channels for the purpose of getting the bias term arisen by colored noises in LS estimates, and further to derive a bias compensation based RLS algorithm.
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The input sampling rate of each receiver is 500 Hz.
Input samples are and.
Input sample packet.
Start 1. Input sample packet 2.
A DPCM produces an outcome sample for each input sample.
Input samples have traditionally been modeled as vectors.
The input-output relation will be as follows: Y ( output sample ) = ∑ n = 1 n = Correlation Window Size X ( input sample + n ) × X * ( input sample + n + NFFT ) (6).
A RBF network can localize the input sample space, which maps input samples to the interior of the hypercube, and the localized area is near a vertex.
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