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A PRBS with exactly zero correlation and its application

Suzanne Lesecq, A. Barraud

Open publisher page 4 citations

Abstract

Standard Pseudo Random Binary Sequences (PRBS) are symmetrical periodic signals whose autocorrelation function looks like ldquoDiracrdquo except that the theoretically zero part of the autocorrelation function is non zero and equals -1/ N for a periodic sequence of length N. This paper shows how to obtain an exactly zero autocorrelation between periodic peaks, i.e. an exactly independent periodic sequence. An original application of the PRBS properties is developed to introduce a priori knowledge as a smart regularisation process for impulse response identification.

About this research paper

What this paper is about

Standard Pseudo Random Binary Sequences (PRBS) are symmetrical periodic signals whose autocorrelation function looks like ldquoDiracrdquo except that the theoretically zero part of the autocorrelation function is non zero and equals -1/ N for a periodic sequence of length N. This paper shows how to obtain an exactly zero autocorrelation between periodic peaks, i.e. an exactly independent periodic sequence. An original application of the PRBS properties is developed to introduce a priori knowledge as a smart regularisation process for impulse response identification.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Standard Pseudo Random Binary Sequences (PRBS) are symmetrical periodic signals whose autocorrelation function looks like ldquoDiracrdquo except that the theoretically zero part of the autocorrelation function is non zero and equals -1/ N for a periodic sequence of length N. This paper shows how to obtain an exactly zero autocorrelation between periodic peaks, i.e. an exactly independent periodic sequence. An original application of the PRBS properties is developed to introduce a priori knowledge as a smart regularisation process for impulse response identification.

Key concepts: Autocorrelation, Pseudorandom binary sequence, Complementary sequences, Pseudorandom number generator, Sequence (biology), A priori and a posteriori, Autocorrelation technique, Zero (linguistics)

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