Adaptive Background Suppression For Real-Time Signal Processing

Herbert E. Rauch

doi:10.1117/12.959225

24 December 1980 Adaptive Background Suppression For Real-Time Signal Processing

Herbert E. Rauch

Proceedings Volume 0241, Real-Time Signal Processing III; (1980) https://doi.org/10.1117/12.959225
Event: 24th Annual Technical Symposium, 1980, San Diego, United States

Abstract

When using an adaptive filter for real-time signal processing, the filter coefficients must be modified in real time and fast computation methods for determining optimal filter coefficients are essential. The optimal coefficients for signal detection and background suppression depend upon the statistics of the background noise and the characteristics of the signal pulse. A novel approach for calculating optimal filter coefficients has been devised which makes use of symmetries in the coefficients (derived from symmetries in the noise statistics and the signal) to reduce computation requirements significantly. For example, with a five-by-five two-dimensional spatial filter there are 25 coefficients which must be determined, and the conventional approach requires over 5000 multiplications and 5000 additions. When symmetries exist, there are only 6 distinct values for the 25 coefficients, which reduces the required calculations to 75 multiplications and 75 additions. Detailed examples of temporal filtering, spatial filtering, and multispectral filtering illustrate the efficacy of the procedure in practical situations.

Citation Download Citation

Herbert E. Rauch "Adaptive Background Suppression For Real-Time Signal Processing", Proc. SPIE 0241, Real-Time Signal Processing III, (24 December 1980); https://doi.org/10.1117/12.959225

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