Window design for signal-dependent spectrogram using optimal kernel techniques

Chad C. Carson; Richard G. Baraniuk

doi:10.1117/12.255443

22 October 1996 Window design for signal-dependent spectrogram using optimal kernel techniques

Chad C. Carson, Richard G. Baraniuk

Author Affiliations +

Proceedings Volume 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI; (1996) https://doi.org/10.1117/12.255443
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Time-frequency distributions (TFDs) have proven useful in a wide variety of nonstationary signal processing applications. While sophisticated optimal bilinear TFDs have been developed to extract the maximum possible time- frequency information from signals, certain applications dictate simpler linear, running-FFT processing techniques. In this paper, we propose a signal-dependent short-time Fourier transform/spectrogram that enjoys many of the advantages of optimal bilinear TFDs yet retains the simplicity and efficiency of running-FFT processing. In addition, we extend the optimal kernel design problem to linear spaces of signals.

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Chad C. Carson and Richard G. Baraniuk "Window design for signal-dependent spectrogram using optimal kernel techniques", Proc. SPIE 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI, (22 October 1996); https://doi.org/10.1117/12.255443

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