Title :
Slope filtering: An FIR approach to linear regression [DSP Tips&Tricks]
Author_Institution :
Pace-O-Matic, Norcross, GA
fDate :
11/1/2008 12:00:00 AM
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;
Journal_Title :
Signal Processing Magazine, IEEE
Conference_Location :
11/1/2008 12:00:00 AM
DOI :
10.1109/MSP.2008.929816
