Introduction to Digital Filters: with Audio Applications
by Julius O. Smith III
Publisher: W3K Publishing 2007
ISBN/ASIN: 0974560715
ISBN-13: 9780974560717
Number of pages: 478
Description:
A digital filter can be pictured as a “black box” that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. The theory treatment begins at the high-school level, and covers fundamental concepts in linear systems theory and digital filter analysis. Various “small” digital filters are analyzed as examples, particularly those commonly used in audio applications. Matlab programming examples are emphasized for illustrating the use and development of digital filters in practice.
Download or read it online for free here:
Read online
(online html)
Similar books
An Introduction to Statistical Signal Processingby R. M. Gray, L. D. Davisson - Cambridge University Press
The book covers basic probability, random objects, expectation, second order moment theory with examples of the random process models and their basic properties, specific applications for communication, estimation, detection, modulation.
(24779 views)
Digital Filters and Signal Processingby F.P.G. Marquez, N. Zaman (ed.) - 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.
(9049 views)
The Theory of Linear Predictionby P. Vaidyanathan - Morgan and Claypool Publishers
Linear prediction theory has had a profound impact in the field of digital signal processing. This book focuses on the theory of vector linear prediction and line spectral processes. There are several examples and computer-based demonstrations.
(15339 views)
Hidden Markov Models: Estimation and Controlby R. J. Elliott, L. Aggoun, J. B. Moore - Springer
The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. Readers are assumed to have basic grounding in probability and systems theory.
(14361 views)