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 |