FIR
Optimal Design of Minimum-Phase FIRs
Submitted by Webmaster on Sat, 04/11/2009 - 15:31"We present a generalized optimal minimum phase digital FIR filter design algorithm that supports (1) arbitrary magnitude response specifications, (2) high coefficient accuracy, and (3) real and complex filters."
Digital Signal Processing Tutorial
Submitted by Webmaster on Sat, 04/11/2009 - 15:13ScopeFIR
Submitted by Webmaster on Sat, 04/11/2009 - 08:46ScopeFIR can design and analyze Finite Impulse Response (FIR) filters using the Parks-McClellan algorithm and a variety of other methods.
DSP Trick: FIR Filtering in C
Subject: DSP Trick: Filtering From: rainer.storn@infineon.com Date: 1999/04/21 Newsgroups: comp.dsp THIS WORK IS PLACED IN THE PUBLIC DOMAIN
Name: Filtering in C
Category: Programming Trick
Application: FIR-Filtering
Advantages: Simple and fast
Introduction:
This is more like a trick in C but might also be applicable in DSP environments. It allows to compute FIR-filtering in a fast manner when the filter length contains a factor of, let's say 4 (other factors are also possible).
How to Design Minimum-Phase FIR Filters
How to Design Minimum-Phase FIR Filters
by Matt Donadio
Like most things in DSP, there are several methods to create minimum-phase Finite Impulse Response (FIR) filters.
FIR Filter Basics
1.1 What are "FIR filters"?
FIR filters are one of two primary types of digital filters used in Digital Signal Processing (DSP) applications, the other type being IIR.
1.2 What does "FIR" mean?
"FIR" means "Finite Impulse Response". If you put in an impulse, that is, a single "1" sample followed by many "0" samples, zeroes will come out after the "1" sample has made its way through the delay line of the filter.
