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Ngoulou-A-Ndzeli, Universite Marien Ngouabi, Republic of Congo, becker20000@yahoo.fr

This article is devoted to the quantitative estimation of a basic algorithmic analysis of non-uniform sinusoidal signals. Its aim is to successfully extract the maximum amount of useful information on a signal disturbed by the noise based on the resources of the algorithm and quantification. [Analytical derivations are based on Baranov’s method (define a differential and inverse function which purpose is to calculate the statistics of amplitude, standard deviation, entropy and correlation properties of the input signal) and Matlab (simulation software, modeling and marking curves)]. This article highlights, on the one hand, the improvement of sinusoidal signals and the transition process of a continuous set of signal values for a discrete set, which volume is equal to the number of quantization levels; on the other hand, the overall increase in the signal / noise reducing noise to dominate the weak signals by increasing the noise for strong rare signals. In addition, in this system, the quantization noise is the same for all signal amplitudes. Therefore, in this case, the quantization noise signal may be proportional.

Keywords: quantization, harmonic signal, uniform, non-uniform, minimizing the errors, algorithm,
sampling, dispersion, storage, memory.


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Information about author:
Ngoulou-A-Ndzeli, graduate student, teacher, Universite Marien Ngouabi, Brazzaville, Republic of Congo