II. Bspline Based Wavelet Family In this paper we briefly describe the results of a recent In [7], a Bspline-based semi-orthogonal wavelet family research on how to construct and implement Bspline ' th waveet asi.Nxt,a nvel echiqu baed n uing has been constructed. It has been shown that the mh wavelet basis. Next, a novel technique based on using odrBpieplnma m( i aife h Bspline wavelet basis, is proposed for signal de-noising and image compression. Extensive simulation results, following 2-scale relation have shown that the proposed technique competes very bm (t) E pkbm (2t -k)(1) well with other methods using classical orthogonal and k bi-orthogonal wavelets. Bsplines example are given With a scaling analysis filter P(z), defined as 1 ka r~~+Zi jm
SUMMARYA simple method is described for the design of fixed-point recursive digital filters with low round-off noise. The method is based on reducing to zero as many as possible of the coefficients of the filter state matrices. An optimization procedure is used to get the optimum value of linear transformation that minimizes the total output round-off noise power. Compared with the existing approaches, this method is characterized by its computational simplicity, very low output round-off noise (if not the lowest possible) and low coefficient sensitivity. The structure of the proposed technique is modular, which makes it suitable for VLSI implementation. The technique is then employed to obtain a reduced-order low-round-off-noise filter with characteristics equivalent to some desired FIR specifications. Illustrative examples are given to verify these advantages.
SUMMARYThe SC implementation of doubly terminated reactance reference filters containing Brune or C-type sections is presented. It is shown that the one-to-one correspondence between the elements of the reactance reference network and its simulated SC circuit is still maintained. Computer evaluations as well as experimental verifications have shown that the resulting structure is less sensitive with respect to parasitics. Illustrative examples are given.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.