Index: Introduction to Digital Filters with Audio Applications
Introduction to Digital Filters with Audio Applications
Lossless Analog Filters
Introduction
Techniques for system identification are concerned with estimating the coefficients of a filter given observations of its input and output signals. — Click for https://ccrma.stanford.edu/~jos/mdft/FIR_System_Identification.html
Click for https://ccrma.stanford.edu/~jos/filters/State_Space_Filters.html
A digital filter can be visualized 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. — Click for https://ccrma.stanford.edu/~jos/filters/
Click for https://ccrma.stanford.edu/~jos/mdft/Matrices.html
Search JOS Website
JOS Home Page
JOS Online Publications
Index of terms in JOS Website
Index: Introduction to Digital Filters with Audio Applications
Introduction to Digital Filters with Audio Applications
This appendix introduces various matrix representations for
digital filters, including the important state space
formulation. Additionally, elementary system identification
based on a matrix description is described.