Multiple-Constraint Adaptive Filtering.
Advanced Array Research Special rept. no. 3,
TEXAS INSTRUMENTS INC DALLAS SCIENCE SERVICES DIV
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The principle of processing multichannel data to minimize noise and yet pass a theoretical deterministic signal with no distortion has been used extensively in the past. This report contains a generalization of this constraint method so that many deterministic signals can be considered simultaneously. An adaptive method for designing the optimum noise-rejection multichannel filter is described this method preserves the initially specified desired response of the filter to each of the deterministic signals. A sample of vertical-array data containing a signal is used to illustrate the procedure. The effect of initial filter response on noise rejection, the apparent time necessary to adapt, and actual signal distortion are some of the topics discussed in detail. Author
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