It measures the Fourier series components of the output error sequences and minimizes the total spectral energy as an adaptation criterion. This approach can ...
Jan 1, 1993 · It measures the Fourier series components of the output error sequences and minimizes the total spectral energy as an adaptation criterion. This ...
It measures the Fourier series components of the output error sequences and minimizes the to- tal spectral energy as an adaptation criterion. This approach can ...
It measures the Fourier series components of the output error sequences and minimizes the total spectral energy as an adaptation criterion. This approach can ...
We will only discuss Fourier analysis for functions defined on a finite interval and for finite sequences (vectors), but Fourier analysis may also be applied to ...
James A. Kottas: Training Periodic Sequences Using Fourier Series Error Criterion. Neural Comput. 5(1): 115-131 (1993).
[PDF] Chapter 3 Fourier Series Representation of Period Signals
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By 1807, Fourier had completed a work that series of harmonically related sinusoids were useful in representing temperature distribution of a body.
A 'Training Sequence' is a sequence of data used at the beginning of a data frame in computer science to predict channel behavior and estimate coefficients ...
Nov 24, 2013 · First, you need periodic functions with a finite period. ... Another variation of the Fourier Series to compare DNA sequences is A ... Is there an ...
1 Fourier analysis was originally concerned with representing and analyzing periodic phenomena, via Fourier ... To begin the course with Fourier series is to ...