Browsing George R. Brown School of Engineering by Subject "Filter Design"
Now showing items 112 of 12

Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters
(19990301)This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an Lp error criteria. The algorithm is an extension of Burrus' iterative reweighted leastsquares (IRLS) ... 
Allpass Filter Design and Applications
(19950115)The Problem of allpass filter design for phase approximation and equalization in the Chebyshev sense is solved by using a generalized Remez algorithm. Convergence to the unique optimum is guaranteed and is achieved rapidly ... 
Constrained Least Square Design of FIR Filters Without Specified Transition Bands
(19960115)We consider the design of digital filters and discuss the inclusion of explicitly specified transition bands in the frequency domain design of FIR filters. We put forth the notion that explicitly specified transition bands ... 
Constrained Least Square Design of FIR Filters Without Specified Transition Bands
(19950115)We consider the design of digital filters and discuss the inclusion of explicitly specified transition bands in the frequency domain design of FIR filters. We put forth the notion that explicitly specified transition bands ... 
Exchange Algorithms that Complement the ParksMcClellan Algorithm for Linear Phase FIR Filter Design
(19970201)This paper describes an exchange algorithm for the frequency domain design of linear phase FIR equiripple filters where the Chebyshev error in each band is specified. The algorithm is a hybrid of the algorithm of Hofstetter, ... 
Generalized Digital Butterworth Filter Design
(19960115)This paper presents a formulabased method for the design of IIR filters having more zeros than (nontrivial) poles. The filters are designed so that their square magnitude frequency responses are maximallyflat at <i>m</i> ... 
Generalized Digital Butterworth Filter Design
(19950115)This paper presents a formulabased method for the design of IIR filters having more zeros than (nontrivial) poles. The filters are designed so that their square magnitude frequency responses are maximallyflat at <i>m</i> ... 
Magnitude Squared Design of Recursive Filters with the Chebyshev Norm Using a Constrained Rational Remez Algorithm
(19941001)We describe a Remez type exchange algorithm for the design of stable recursive filters for which the Chebyschev norm of H(w)  F(w) is minimized, where H(w) and F(w) are the realized and desired magnitude squared frequency ... 
Magnitude Squared Design of Recursive Filters with the Chebyshev Norm Using a Constrained Rational Remez Algorithm
(19940501)We describe a Remez type exchange algorithm for the design of stable recursive filters for which the Chebyschev norm of H(w)  F(w) is minimized, where H(w) and F(w) are the realized and desired magnitude squared frequency ... 
Nonlinear phase FIR filter design with minimum LS error and additional constraints
(19940701)We examine the problem of approximating a complex frequency response by a realvalued FIR filter according to the <i>L<sub>2</sub></i> norm subject to additional inequality constraints for the complex error function. ... 
On the Design of LP IIR Filters with Arbitrary Frequency Response
(20010501)This paper introduces an iterative algorithm for designing IIR digital filters that minimize a complex approximation error in an Lp sense. The algorithm combines ideas that have proven successful in the similar problem ... 
Optimal parallel 2D FIR digital filter with separable terms
(19970501)This paper completely solves the optimal Weighted Least Mean Square (WLMS) design problem using sums of separable terms. For any fixed number of separable terms (less than or equal to the rank of the unconstrained solution), ...