Man pages for mwaved
Multichannel Wavelet Deconvolution with Additive Long Memory Noise
| blurSignal | Blur an input signal |
| boxcarBlur | Multichannel box car blur |
| detectBlur | Detect type of blur |
| directBlur | Direct kernel matrix |
| gammaBlur | Multichannel Gamma density blur |
| makeSignals | Generate test signals for simulation |
| multiCoef | Wavelet coefficient estimation from a multichannel signal |
| multiEstimate | Wavelet deconvolution signal estimate from the noisy... |
| 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... |
| multiWaveD | Full mWaveD analysis |
| mwaved | Multichannel wavelet deconvolution with long memory using... |
| 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... |
| summary.mWaveD | Summary Output for the mWaveD object |
| theoreticalEta | Find optimal theoretical Eta |
| waveletThresh | Apply thresholding regime to a set of wavelet coefficients |
