Title :
A Wigner spectral analyzer for nonstationary signals
Author :
Sun, Mingui ; Li, Ching Chung ; Sekhar, Laligam N. ; Sclabassi, Robert J.
Author_Institution :
Pittsburgh Univ., PA, USA
fDate :
10/1/1989 12:00:00 AM
Abstract :
The authors present computational algorithms for the design of an innovative spectral analyzer using the Wigner distribution. This spectral analyzer uses advanced digital signal-processing chips with associated hardware and software. Algorithms for the kernel generation, kernel transformation, and discrete Hilbert transform are discussed. Design strategies are focused on achieving high time-frequency resolution, precision, flexibility, and computational efficiency. Experiments show that spectral analysis using the Wigner distribution yields significantly improved results for nonstationary signals
Keywords :
computerised instrumentation; computerised signal processing; digital signal processing chips; spectral analysers; spectral analysis; transforms; Wigner distribution; Wigner spectral analyzer; computational algorithms; computational efficiency; digital signal-processing chips; discrete Hilbert transform; flexibility; kernel generation; kernel transformation; nonstationary signals; precision; time-frequency resolution; Algorithm design and analysis; Computational efficiency; Discrete transforms; Distributed computing; Hardware; Kernel; Signal analysis; Signal resolution; Spectral analysis; Time frequency analysis;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
