A Class of Random Binary Waveforms With Impulse-Like Autocorrelation
W. J. Szajnowski

TL;DR
This paper introduces a method to generate random binary waveforms with impulse-like autocorrelation by randomizing symbol lengths in a Bernoulli process, useful for signal processing applications.
Contribution
It proposes a novel technique for producing impulse-like autocorrelation in binary waveforms through random symbol length variation and practical implementation using a shift register.
Findings
Generated waveforms exhibit impulse-like autocorrelation properties.
The method can be implemented with a shift register and spread-period clock.
Applicable to signal processing and radar systems.
Abstract
It is shown that a random binary process with impulse-like autocorrelation can be generated by randomizing the length of symbols occurring in a random Bernoulli process. Such randomization is achieved by random (or judiciously designed irregular) sampling of the output of a source that supplies a symmetric random binary waveform. One practical configuration implementing the proposed technique is a linear-feedback shift register driven by a spread-period clock generator.
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Taxonomy
TopicsNeural Networks and Applications · Scientific Research and Discoveries · Chaos-based Image/Signal Encryption
