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Non-stationary signal processing using time-frequency filter banks

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2 Author(s)
A. Francos ; Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel ; M. Porat

We present a new approach to the design of time-frequency (TF) filter banks for non-stationary noisy signals. The input multicomponent signal is represented by the minimum cross-entropy TF distribution and the system is based on an array of time-varying filters. Each filter processes one component of the signal according to its specific TF support. The output of the proposed TF filtering algorithm is a set of the signal components. To demonstrate the algorithm performance, simulation results are given. Since the suggested method is equivalent to two-dimensional matched filtering, an algorithm for non-stationary signal classification is also presented

Published in:

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on  (Volume:2 )

Date of Conference:

2-4 Jul 1997