# Multichannel Wavelet Deconvolution with Additive Long Memory Noise

## Documentation for package ‘mwaved’ version 1.1.7

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

mwaved-package | Multichannel wavelet deconvolution with long memory using mwaved.
blurSignal | Blur an input signal
boxcarBlur | Multichannel box car blur
detectBlur | Detect type of blur
directBlur | Direct kernel matrix
gammaBlur | Multichannel Gamma density blur
makeBlocks | Generate test signals for simulation
makeBumps | Generate test signals for simulation
makeCusp | Generate test signals for simulation
makeDoppler | Generate test signals for simulation
makeHeaviSine | Generate test signals for simulation
makeLIDAR | Generate test signals for simulation
makeSignals | Generate test signals for simulation
multiCoef | Wavelet coefficient estimation from a multichannel signal
multiEstimate | Wavelet deconvolution signal estimate from the noisy multichannel convoluted signal
multiNoise | Generate multichannel noise
multiProj | Meyer wavelet projection given a set of wavelet coefficients
multiSigma | Noise level estimation among multichannel signal
multiThresh | Resolution level thresholds for hard thresholded wavelet deconvolution estimator
multiWaveD | Full mWaveD analysis
mwaved | Multichannel wavelet deconvolution with long memory using mwaved.
mWaveDDemo | Interactive Demonstration
plot.mWaveD | Plot Output for the mWaveD object
plot.waveletCoef | Multi-Resolution Analysis plot of wavelet coefficients
resolutionMethod | Select appropriate resolution method for blur type
sigmaSNR | Determine noise scale levels from specified *S*ignal to *N*oise *R*atios
summary.mWaveD | Summary Output for the mWaveD object
theoreticalEta | Find optimal theoretical Eta
waveletThresh | Apply thresholding regime to a set of wavelet coefficients