Abstract
This article treats analytically. This paper presents a novel approach to complex waves. This article outlines the understanding of the various effects of spike representations used to make models of the predictive variable effects of the second-order portion of power while revealing the relationship between the time series segments that are recorded from a single unit. MATLAB has been used to show the effects of mixed spikes in graphs. The resulting power portion has varied representation effects in which both the random and fixed effects are expressed as functions of the frequency domain.
Highlights
This paper presents a novel approach to complex waves
Various sinusoid waveforms can be put together to make up a single complex waveform, a Fourier series
The Fourier series is a periodic function used to express the frequency domains of the related sinusoids
Summary
Various sinusoid waveforms can be put together to make up a single complex waveform, a Fourier series. The Fourier series is a periodic function used to express the frequency domains of the related sinusoids. The paper outlines the mixed-effects representation of the spectrum that can be used to create a model of the second-order spectral power covariates whilst explaining the reliable correlations of the above collected time-series segments that are obtained from a single unit. The log-spectrum contains the mixed-effects functional representation where both the random and fixed effects are considered as functions in the same frequency domain. Diggle&Wasel (1997) introduces an independent model used to collects and replicate the time series unit-specific spectra via log-linear effects. The analysis of the spectrum can be performed by doing away with the oscillator s and recording both the signal amplitude and frequency each time it appears at the low pass filter output
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