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The minimax design of 2-D (two-dimensional) FIR filters is not necessarily unique since the Haar condition is not generally satisfied. In order to obtain a unique solution, we introduce some additional constraints to the minimax design. This paper presents least total squared error design of 2-D minimax FIR filters which is always unique. This unique minimax solution can be obtained by using a quadratic...
By using basis transformation, the Chebyshev approximation of linear-phase finite-impulse response (FIR) filters with linear equality constraints can be converted into an unconstrained one defined on a new function space. However, since the Haar condition is not necessarily satisfied in the new function space, the alternating property does not hold for the solution to the resulted unconstrained Chebyshev...
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