Logo

Notes on the Design of Optimal FIR Filters

Small book cover: Notes on the Design of Optimal FIR Filters

Notes on the Design of Optimal FIR Filters
by

Publisher: Connexions
Number of pages: 47

Description:
Notes on the Design of Optimal FIR Filters examines how to convert a typical filter specification in terms of cutoff frequency, passband ripple, etc., into a reasonably accurate estimate of the length of the impulse response. The collection covers topics such as filter sizing, performance comparisons with other FIR design methods, and extensions to non-lowpass filters.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Fast Fourier TransformsFast Fourier Transforms
by - Connexions
This book uses an index map, a polynomial decomposition, an operator factorization, and a conversion to a filter to develop a very general description of fast algorithms to calculate the discrete Fourier transform. Computer programs are provided.
(15382 views)
Book cover: Mathematics of the Discrete Fourier Transform (DFT): with Audio ApplicationsMathematics of the Discrete Fourier Transform (DFT): with Audio Applications
by - W3K Publishing
Detailed mathematical derivation of DFT (Discrete Fourier Transform), with elementary applications to audio signal processing. Matlab programming examples are included. High-school math background is a prerequisite, including some calculus.
(23407 views)
Book cover: Principles of Computerized Tomographic ImagingPrinciples of Computerized Tomographic Imaging
by - IEEE Press
A comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.
(24131 views)
Book cover: R. R. Bahadur's Lectures on the Theory of EstimationR. R. Bahadur's Lectures on the Theory of Estimation
by - IMS
In this volume the author covered what should be standard topics in a course of parametric estimation: Bayes estimates, unbiased estimation, Fisher information, Cramer-Rao bounds, and the theory of maximum likelihood estimation.
(12328 views)