DocumentCode
3558507
Title
Slope filtering: An FIR approach to linear regression [DSP Tips&Tricks]
Author
Turner, Clay S.
Author_Institution
Pace-O-Matic, Norcross, GA
Volume
25
Issue
6
fYear
2008
fDate
11/1/2008 12:00:00 AM
Firstpage
159
Lastpage
163
Abstract
While developing a communications receiver, the author encountered a problem that was efficiently solved using a method called slope filtering, which is a novel application of the standard equations of linear regression. This article introduces the slope filtering process and its effective use in applications such as communications receiver carrier recovery, signal rate of change estimation, and signal transition and transition-polarity detection.
Keywords
FIR filters; receivers; regression analysis; signal processing; FIR approach; change estimation; communications receiver carrier recovery; digital signal processing; linear regression; signal transition; slope filtering; transition-polarity detection; Digital signal processing; Equations; Filtering; Finite impulse response filter; Frequency; Linear regression; Local oscillators; Nonlinear filters; Signal processing; Signal to noise ratio;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
Conference_Location
11/1/2008 12:00:00 AM
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2008.929816
Filename
4644063
Link To Document