Logo

Digital Filter Design by Zoran Milivojević

Small book cover: Digital Filter Design

Digital Filter Design
by

Publisher: mikroElektronika

Description:
The purpose of this book is to provide you with different theoretical and practical approaches to digital filter design. The book covers design of both finite and infinite impulse response filters. In addition, it applies the most popular and most commonly used design methods giving the best solutions. Intuitive explanations and numerous examples contained in this book will help you to develop your understanding of these methods and test your knowledge on concrete issues.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: Digital Filters and Signal ProcessingDigital Filters and Signal Processing
by - InTech
Digital filters, together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. This book presents advanced developments, covering different cases studies.
(3133 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.
(9438 views)
Book cover: Notes on the Design of Optimal FIR FiltersNotes on the Design of Optimal FIR Filters
by - Connexions
This book examines how to convert a typical filter specification into a reasonably accurate estimate of the length of the impulse response. The text covers filter sizing, performance comparisons with other FIR design methods, etc.
(4329 views)
Book cover: Concise Signal ModelsConcise Signal Models
by - Connexions
This book reviews fundamental concepts underlying the use of concise models for signal processing. Topics are presented from a geometric perspective and include low-dimensional linear, sparse, and manifold-based signal models, approximation, etc.
(4086 views)