Digital Filtering: An Introduction / Edition 1 available in Hardcover
The order in which the subject matter is presented enables students to make an easy transition from continuous signals and systems to their discrete-time counterparts. A general introduction to terminology and a description of digital filters is followed by a review of continuous filter design. Subsequent chapters deal with sampling theorem and the z-transform; design of recursive digital filters; finite-impulse response and nonrecursive filters; basic concepts in probability theory and random processes; and the methods of design and analysis of the Kalman filter. Contains worked analytical examples, diagrams and problem sets.
|Product dimensions:||6.73(w) x 9.57(h) x 1.24(d)|
Table of Contents
Signals and Systems.
Brief Review of Continuous Linear Filters.
Sampling and the z-Transform.
Finite Impulse Response (FIR) and Nonrecursive Filters.
The Discrete Fourier Transform and the Fast Fourier Transform.
Basic Concepts of Probability Theory and Random Processes.
Quantization Effects in Digital Filters.
Digital Filtering Applied to Estimation: The Discrete Kalman Filter.