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Multisignal 1-D compression using wavelets
[XC,DECCMP,THRESH] = mswcmp('cmp',DEC,METH)
[XC,DECCMP,THRESH] = mswcmp('cmp',DEC,METH,PARAM)
[XC,THRESH] = mswcmp('cmpsig',...)
[DECCMP,THRESH] = mswcmp('cmpdec',...)
THRESH = mswcmp('thr',...)
[...] = mswcmp(OPTION,DIRDEC,X,WNAME,LEV,METH)
[...] = mswcmp(OPTION,DIRDEC,X,WNAME,LEV,METH,PARAM)
[...] = mswcmp(...,S_OR_H)
[...] = mswcmp(...,S_OR_H,KEEPAPP)
[...] = mswcmp(...,S_OR_H,KEEPAPP,IDXSIG)
mswcmp computes thresholds and, depending on the selected option, performs compression of 1-D signals using wavelets.
[XC,DECCMP,THRESH] = mswcmp('cmp',DEC,METH) or
[XC,DECCMP,THRESH] = mswcmp('cmp',DEC,METH,PARAM)
returns a compressed (indicated by 'cmp' input)
version XC of the original multisignal matrix X,
whose wavelet decomposition structure is DEC. The
output XC is obtained by thresholding the wavelet
coefficients: DECCMP, which is the wavelet decomposition
associated with XC (see mdwtdec),
and THRESH is the matrix of threshold values. The
input METH is the name of the compression method
and PARAM is the associated parameter, if required.
Valid compression methods METH are shown in the following tables. For methods that use an associated parameter, the range of allowable PARAM values is also shown.
'rem_n0' | Remove near 0 |
'bal_sn' | Balance sparsity-norm |
'sqrtbal_sn' | Balance sparsity-norm (sqrt) |
'scarce' | Scarce, PARAM (any number) |
'scarcehi' | Scarce high, 2.5 ≤ PARAM ≤ 10 |
'scarceme' | Scarce medium, 1.5 ≤ PARAM ≤ 2.5 |
'scarcelo' | Scarce low, 1 ≤ PARAM ≤ 2 |
PARAM is a sparsity parameter, and it should be such that: 1 ≤ PARAM ≤ 10. For scarce method no control is done.
'L2_perf' | Energy ratio |
'N0_perf' | Zero coefficients ratio |
PARAM is a real number which represents the required performance:
0 ≤ PARAM ≤ 100.
'glb_thr' | Global threshold |
PARAM is a real positive number.
'man_thr' | Manual method |
PARAM is an NbSIG-by-NbLEV matrix or NbSIG-by-(NbLEV+1) matrix such that:
- PARAM(i,j) is the threshold for the detail coefficients of level j for the ith signal (1 ≤ j ≤ NbLEV).
- PARAM(i,NbLEV+1) is the threshold for the approximation coefficients for the ith signal (if KEEPAPP is 0).
Where NbSIG is the number of signals and NbLEV the number of levels of decomposition.
[XC,THRESH] = mswcmp('cmpsig',...) or
[DECCMP,THRESH] = mswcmp('cmpdec',...) or
THRESH = mswcmp('thr',...) Instead
of the 'cmp' input OPTION, you
can use 'cmpsig', 'cmpdec' or 'thr'
to select other output arguments. 'thr' returns
the computed thresholds, but compression is not performed.
[...] = mswcmp(OPTION,DIRDEC,X,WNAME,LEV,METH)
[...] = mswcmp(OPTION,DIRDEC,X,WNAME,LEV,METH,PARAM)
The decomposition structure input argument DEC can
be replaced by four arguments: DIRDEC, X, WNAME,
and LEV. Before performing a compression or computing
thresholds, the multisignal matrix X is decomposed
at level LEV using the wavelet WNAME,
in the direction DIRDEC.
[...] = mswcmp(...,S_OR_H)
[...] = mswcmp(...,S_OR_H,KEEPAPP)
[...] = mswcmp(...,S_OR_H,KEEPAPP,IDXSIG)
Three more optional inputs may be used:
S_OR_H ('s' or 'h') stands for soft or hard thresholding (see mswthresh for more details). Default is 'h'.
KEEPAPP (true or false) indicates whether to keep approximation coefficients (true) or not (false). Default is false.
IDXSIG is a vector which contains the indices of the initial signals, or the string 'all'. Default is 'all'.
% Load original 1D-multisignal. load thinker % Perform a decomposition at level 2 using wavelet db2. dec = mdwtdec('r',X,2,'db2'); % Compress the signals to obtain a percentage of zeros % near 95% for the wavelet coefficients. [XC,decCMP,THRESH] = mswcmp('cmp',dec,'N0_perf',95); [Ecmp,PECcmp,PECFScmp] = wdecenergy(decCMP); % Plot the original signals 1 and 31, and % the corresponding compressed signals. figure; plot(X([1 31],:)','r--','linewidth',2); hold on plot(XC([1 31],:)','b','linewidth',2); grid; set(gca,'Xlim',[1,96]) title('X dashed line and XC solid line')
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