J.W. Adams, P. Kruethong, R. Hashemi, J. L. Sullivan, D. Gleeson
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New quadratic programming algorithms for designing FIR digital filters
The Parks-McClellan algorithm (1973) is very popular for designing FIR digital filters. It is based on a linear programming algorithm called the Remez exchange. Our new algorithm is based on quadratic programming, which includes linear programming as a special case. The filters in this paper permit the designer to control the tradeoff between the peak error and the total squared error. These filters are designed according to the peak-constrained least-squares (PCLS) optimality criterion.<>
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