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We present an efficient weighted L/sub p/ algorithm for the design of quadrature mirror filters. The filterbank design process is formulated as an iterative weighted least-squares optimization problem. Our algorithm minimizes the pth power of the error function, where p may vary in different frequency bands. Good designs are obtained, typically, in a few iterations.