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Michael B. Pursley

Researcher at Clemson University

Publications -  133
Citations -  8222

Michael B. Pursley is an academic researcher from Clemson University. The author has contributed to research in topics: Spread spectrum & Fading. The author has an hindex of 34, co-authored 132 publications receiving 8115 citations. Previous affiliations of Michael B. Pursley include University of Illinois at Urbana–Champaign & Urbana University.

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Performance Evaluation for Phase-Coded Spread-Spectrum Multiple-Access Communication--Part I: System Analysis

TL;DR: An analysis of an asynchronous phase-coded spread-spectrum multiple-access communication system reveals which code parameters have the greatest impact on communication performance and provides analytical tools for use in preliminary system design.
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Crosscorrelation properties of pseudorandom and related sequences

TL;DR: This paper presents a survey of recent results and provides several new results on the periodic and aperiodic crosscorrelation functions for pairs of m-sequences and for Pair of related (but not maximal-length) binary shift register sequences.
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Error Probabilities for Binary Direct-Sequence Spread-Spectrum Communications with Random Signature Sequences

TL;DR: An expression for the output of the receiver is obtained for the case of random signature sequences, and the corresponding characteristic function is determined to study the density function of the multiple-access interference and to determine arbitrarily tight upper and lower bounds on the average probability of error.
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Performance Evaluation for Phase-Coded Spread-Spectrum Multiple-Access Communication--Part II: Code Sequence Analysis

TL;DR: An analysis of the code sequence parameters that are most important to the communication performance of an asynchronous phase-coded spread-spectrum multiple-access communication system is presented.
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Error Probability for Direct-Sequence Spread-Spectrum Multiple-Access Communications--Part II: Approximations

TL;DR: The accuracy of the approximation is extremely good in most cases, but it can be improved, if necessary, by an application of a series expansion.