rkernel

values of the variable b for the nodes of the ridge.

node

values of the scale variable a for the nodes of the ridge.

phinode

nvoice

step unit for the computation of the kernel.

x.inc

minimal value of x for the computation of \(Q_2\).

x.min

maximal value of x for the computation of \(Q_2\).

x.max

if set to TRUE, displays the modulus of the matrix of \(Q_2\).

plot

Computes the cost from the sample of points on the estimated ridge
and the matrix used in the reconstruction of the original signal,
in the case of real constraints. Modification of the function
<code><a rd-options="" href="/link/kernel?package=Rwave&version=2.4-8" data-mini-rdoc="Rwave::kernel">kernel</a></code>.

A set of R functions which provide an
environment for the Time-Frequency analysis of 1-D signals (and
especially for the wavelet and Gabor transforms of noisy
signals). It was originally written for Splus by Rene Carmona,
Bruno Torresani, and Wen L. Hwang, first at the University of
California at Irvine and then at Princeton University.  Credit
should also be given to Andrea Wang whose functions on the
dyadic wavelet transform are included. Rwave is based on the
book: "Practical Time-Frequency Analysis: Gabor and Wavelet
Transforms with an Implementation in S", by Rene Carmona, Wen
L. Hwang and Bruno Torresani (1998, eBook ISBN:978008053942), Academic Press.

Jonathan Lees

Rwave

Time-Frequency Analysis of 1-D Signals

Rene Carmona

Bruno Torresani

Brandon Whitcher

Andrea Wang

Wen-Liang Hwang

Jonathan M. Lees

rkernel function

Computes the cost from the sample of points on the estimated ridge
and the matrix used in the reconstruction of the original signal,
in the case of real constraints. Modification of the function
<code><a rd-options='' href='kernel'>kernel</a></code>.

rkernel: Kernel for Reconstruction from Wavelet Ridges

Description

Usage

Arguments

Value

Details

References

See Also