Gives some numerical summaries of a
A mWaveD object which is a list containing all the information for a multichannel
deconvolution analysis produced by the
Arguments to be passed to methods.
Text output giving summary information of the input and output analysis including,
Degree of Meyer wavelet used in the analysis.
Number of observations, within each channel and number of channels present.
Resolution levels used (j0 to j1)
Blur type assumed in the analysis (direct, smooth or box.car)
Matrix summarising the noise levels in each channel (and Fourier decay information for the smooth case)
Summaries of the severity of the thresholding applied amongst the resolutions.
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library(mwaved) # Simulate the multichannel doppler signal. m <- 3 n <- 2^10 t <- (1:n)/n signal <- makeDoppler(n) # Create multichannel version with smooth blur shape <- seq(from = 0.5, to = 1, length = m) scale <- rep(0.25, m) G <- gammaBlur(n, shape, scale) X <- blurSignal(signal, G) # Add noise with custom signal to noise ratio SNR <- c(10,15,20) E <- multiNoise(n, sigma = sigmaSNR(X, SNR), alpha = c(0.5, 0.75, 1)) # Create noisy & blurred multichannel signal Y <- X + E mWaveDObject <- multiWaveD(Y, G) summary(mWaveDObject)
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