dsp-0.1: Haskell Digital Signal ProcessingContentsIndex
DSP.Estimation.Frequency.WLP
Portabilityportable
Stabilityexperimental
Maintainerm.p.donadio@ieee.org
Description
This module contains a few algorithms for weighted linear predictors for estimating the frequency of a complex sinusoid in noise.
Synopsis
wlp :: (Ix a, Integral a, RealFloat b) => Array a b -> Array a (Complex b) -> b
lrp :: (Ix a, Integral a, RealFloat b) => Array a (Complex b) -> b
kay :: (Ix a, Integral a, RealFloat b) => Array a (Complex b) -> b
lw :: (Ix a, Integral a, RealFloat b) => Array a (Complex b) -> b
ckq :: (Ix a, Integral a, RealFloat b) => Array a (Complex b) -> b -> b -> b
Documentation
wlp
:: (Ix a, Integral a, RealFloat b)
=> Array a bwindow
-> Array a (Complex b)z
-> bw
The weighted linear predictor form of the frequency estimator
lrp
:: (Ix a, Integral a, RealFloat b)
=> Array a (Complex b)z
-> bw
WLP using Lank, Reed, and Pollon's window
kay
:: (Ix a, Integral a, RealFloat b)
=> Array a (Complex b)z
-> bw
WLP using kay's window
lw
:: (Ix a, Integral a, RealFloat b)
=> Array a (Complex b)z
-> bw
WLP using Lovell and Williamson's window
ckq
:: (Ix a, Integral a, RealFloat b)
=> Array a (Complex b)z
-> brho
-> bsigma
-> bw
WLP using Clarkson, Kootsookos, and Quinn's window
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