Rwave2.6-5 package

Time-Frequency Analysis of 1-D Signals

a0

Transient Signal

a4

Transient Signal

adjust.length

Zero Padding

b0

Transient Signal

b4

Transient Signal

backscatter.1.000

Pixel from Amber Camara

backscatter.1.180

Pixel from Amber Camara

backscatter.1.220

Pixel from Amber Camara

c0

Transient Signal

c4

Transient Signal

cgt

Continuous Gabor Transform

check.maxresoln

Verify Maximum Resolution

chirpm5db.dat

Pixel from Amber Camara

cleanph

Threshold Phase based on Modulus

click.asc

Pixel from Amber Camara

vecmorlet

Morlet Wavelets on a Ridge

vgt

Gabor Transform on one Voice

vwt

Voice Wavelet Transform

wpl

Plot Dyadic Wavelet Transform.

wRidgeSampling

Sampling wavelet Ridge

wspec.pl

Log of Wavelet Spectrum Plot

wv

Wigner-Ville function

yen

Pixel from Amber Camara

yendiff

Pixel from Amber Camara

zerokernel

Reconstruction from Wavelet Ridges

zeroskeleton

Reconstruction from Dual Wavelets

cfamily

Ridge Chaining Procedure

zeroskeleton2

Reconstruction from Dual Wavelets

corona

Ridge Estimation by Corona Method

coronoid

Ridge Estimation by Modified Corona Method

crc

Ridge Extraction by Crazy Climbers

crcrec

Crazy Climbers Reconstruction by Penalization

crfview

Display chained ridges

cwt

Continuous Wavelet Transform

cwtimage

Continuous Wavelet Transform Display

cwtp

Continuous Wavelet Transform with Phase Derivative

cwtpolar

Conversion to Polar Coordinates

cwtsquiz

Squeezed Continuous Wavelet Transform

cwtth

Cauchy's wavelet transform

d0

Transient Signal

d4

Transient Signal

DOG

Continuous Wavelet Transform with derivative of Gaussian

dwinverse

Inverse Dyadic Wavelet Transform

epl

Plot Dyadic Wavelet Transform Extrema

ext

Extrema of Dyadic Wavelet Transform

fastgkernel

Kernel for Reconstruction from Gabor Ridges

fastkernel

Kernel for Reconstruction from Wavelet Ridges

gabor

Generate Gabor function

gcrcrec

Crazy Climbers Reconstruction by Penalization

gkernel

Kernel for Reconstruction from Gabor Ridges

gregrec

Reconstruction from a Ridge

gridrec

Reconstruction from a Ridge

gsampleOne

Sampled Identity

gwave

Gabor Functions on a Ridge

gwave2

Real Gabor Functions on a Ridge

HeartRate

Pixel from Amber Camara

hurst.est

Estimate Hurst Exponent

icm

Ridge Estimation by ICM Method

mbtrim

Trim Dyadic Wavelet Transform Extrema

mntrim

Trim Dyadic Wavelet Transform Extrema

morlet

Morlet Wavelets

morwave

Ridge Morvelets

morwave2

Real Ridge Morvelets

mrecons

Reconstruct from Dyadic Wavelet Transform Extrema

mw

Dyadic Wavelet Transform

noisy.dat

Pixel from Amber Camara

npl

Prepare Graphics Environment

pixel_8.7

Pixel from Amber Camara

pixel_8.8

Pixel from Amber Camara

pixel_8.9

Pixel from Amber Camara

plotResult

Plot Dyadic Wavelet Transform Extrema

plotwt

Plot Dyadic Wavelet Transform

pure.dat

Pixel from Amber Camara

regrec

Reconstruction from a Ridge

regrec2

Reconstruction from a Ridge

RidgeSampling

Sampling Gabor Ridge

ridrec

Reconstruction from a Ridge

rkernel

Kernel for Reconstruction from Wavelet Ridges

Rwave-internal

Undocumented Functions in Rwave

rwkernel

Kernel for Reconstruction from Wavelet Ridges

scrcrec

Simple Reconstruction from Crazy Climbers Ridges

skeleton

Reconstruction from Dual Wavelets

skeleton2

Reconstruction from Dual Wavelet

smoothts

Smoothing Time Series

smoothwt

Smoothing and Time Frequency Representation

snake

Ridge Estimation by Snake Method

snakeview

Restriction to a Snake

snakoid

Modified Snake Method

sridrec

Simple Reconstruction from Ridge

SVD

Singular Value Decomposition

tfgmax

Time-Frequency Transform Global Maxima

tflmax

Time-Frequency Transform Local Maxima

tfmean

Average frequency by frequency

tfpct

Percentile frequency by frequency

tfvar

Variance frequency by frequency

vdog

DOG Wavelet Transform on one Voice

vecgabor

Gabor Functions on a Ridge

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.

  • Maintainer: Jonathan M. Lees
  • License: GPL (>= 2)
  • Last published: 2022-10-21