A design method for cosine-modulated filter banks using weighted constrained-least-squares filters
Digital Signal Processing
Peak constrained least-squares QMF banks
Signal Processing
Optimal design of nonlinear-phase FIR filters with prescribed phase error
IEEE Transactions on Signal Processing
Binding under conflict conditions: State-space analysis of multivariate eeg synchronization
Journal of Cognitive Neuroscience
Building efficient spectrum-agile devices for dummies
Proceedings of the 18th annual international conference on Mobile computing and networking
Empirical formula for designing a class of linear phase FIR single band PCLS filters
Digital Signal Processing
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This paper puts forth the notion that explicitly specified transition bands have been introduced in the filter design literature in part as an indirect approach for dealing with discontinuities in the desired frequency response. We suggest that the use of explicitly specified transition bands is sometimes inappropriate because to satisfy a meaningful optimality criterion, their use implicitly assumes a possibly unrealistic assumption on the class of input signals. This paper also presents an algorithm for the design of peak constrained lowpass FIR filters according to an integral square error criterion that does not require the use of specified transition bands. This rapidly converging, robust, simple multiple exchange algorithm uses Lagrange multipliers and the Kuhn-Tucker conditions on each iteration. The algorithm will design linear- and minimum-phase FIR filters and gives the best L2 filter and a continuum of Chebyshev filters as special cases. It is distinct from many other filter design methods because it does not exclude from the integral square error a region around the cut-off frequency, and yet, it overcomes the Gibbs' phenomenon without resorting to windowing or `smoothing out' the discontinuity of the ideal lowpass filter