Accession Number : ADA290271

Title :   Statistical Interface for Chaotic Signal in Noise.

Descriptive Note : Final rept. 1 Sep 92-30 Sep 94,

Corporate Author : RHODE ISLAND UNIV KINGSTON DEPT OF ELECTRICAL ENGINEERING

Personal Author(s) : Kay, Steven

PDF Url : ADA290271

Report Date : 30 SEP 1994

Pagination or Media Count : 14

Abstract : A method for determining the frequency of a real sinusoid is proposed. Based on exponential sampling of the waveform, the approach requires virtually no computation. It can be easily implemented in digital hardware. A dynamic programming algorithm and a suboptical kit computationally efficient method for estimation of a chaotic signal in white Gaussian noise are proposed. The nonlinear map is assumed known so that only the Initial condition need be estimated. Computer simulations confirm that both approaches produces efficient estimates at high signal-to-noise ratios. (AN)

Descriptors :   *SIGNAL TO NOISE RATIO, *WHITE NOISE, MATHEMATICAL MODELS, ALGORITHMS, SIGNAL PROCESSING, COMPUTERIZED SIMULATION, FREQUENCY, COMPUTATIONS, REAL TIME, CHAOS, MAXIMUM LIKELIHOOD ESTIMATION, WAVEFORMS, GAUSSIAN NOISE, EFFICIENCY, DYNAMIC PROGRAMMING, MAPPING(TRANSFORMATIONS).

Subject Categories : Operations Research
      Electricity and Magnetism
      Radiofrequency Wave Propagation
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE