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: Statistical Spectral Analysis: A Non-Probabilistic TheoryStatistical Spectral Analysis: A Non-Probabilistic Theory
by - Prentice Hall
This book is intended to serve as both a graduate-level textbook and a technical reference. The focus is on fundamental concepts, analytical techniques, and basic empirical methods. The only prerequisite is an introductory course on Fourier analysis.
(7066 views)
Book cover: Signal ProcessingSignal Processing
by - InTech
The exponential development of computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications. This book provides highlights of the current research in the area.
(10817 views)
Book cover: Mixed-signal and DSP Design TechniquesMixed-signal and DSP Design Techniques
by - Newnes
The book explains signal processing hardware. It covers sampled data systems, A-to-D and D-to-A converters for DSP applications, fast Fourier transforms, digital filters, DSP hardware, interfacing to DSP chips, hardware design techniques.
(14290 views)
Book cover: Introduction To Random ProcessesIntroduction To Random Processes
by - McGraw-Hill
A first course on random processes for graduate engineering and science students, particularly those with an interest in the analysis and design of signals and systems. The book includes detailed coverage of minimum-mean-squared-error estimation.
(10720 views)