| Wavelet Toolbox | ![]() |
Compression using a global threshold.
X is the signal to be compressed and [C,L] is the wavelet decomposition structure of the signal to be compressed.
THR = wthrmngr('dw1dcompGBL','rem_n0',X)
THR = wthrmngr('dw1dcompGBL','bal_sn',X)
Compression using level dependent thresholds.
X is the signal to be compressed and [C,L] is the wavelet decomposition structure of the signal to be compressed.
ALFA is a sparsity parameter (see wdcbm for more information).
THR = wthrmngr('dw1dcompLVL','scarcehi',C,L,ALFA)
ALFA must be such that 2.5 < ALFA < 10
THR = wthrmngr('dw1dcompLVL','scarceme',C,L,ALFA)
ALFA must be such that 1.5 < ALFA < 2.5
THR = wthrmngr('dw1dcompLVL','scarcelo',C,L,ALFA)
ALFA must be such that 1 < ALFA < 2
De-noising using level dependent thresholds.
[C,L] is the wavelet decomposition structure of the signal to be de-noised, SCAL defines the multiplicative threshold rescaling (see wden for more information) and ALFA is a sparsity parameter (see wbmpen for more information).
THR = wthrmngr('dw1ddenoLVL','sqtwolog',C,L,SCAL)
THR = wthrmngr('dw1ddenoLVL','rigrsure',C,L,SCAL)
THR = wthrmngr('dw1ddenoLVL','heursure',C,L,SCAL)
THR = wthrmngr('dw1ddenoLVL','minimaxi',C,L,SCAL)
THR = wthrmngr('dw1ddenoLVL','penalhi',C,L,ALFA)
ALFA must be such that 2.5 < ALFA < 10
THR = wthrmngr('dw1ddenoLVL','penalme',C,L,ALFA)
ALFA must be such that 1.5 < ALFA < 2.5
THR = wthrmngr('dw1ddenoLVL','penallo',C,L,ALFA)
ALFA must be such that 1 < ALFA < 2
| wthrmngr | Discrete Stationary Wavelet 1-D options. | ![]() |