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We propose a method for the design of FIR filters that define higher density discrete wavelet transforms forming a dual tree. The design is based on a parameterization, using positive trigonometric polynomials, of the convex space of parameters characterizing the filters. Using only one or two degrees of freedom, we are able to design, via a search(More)
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