同步压缩小波工具箱 synsq_toolbox_v1.1

STFT与WT的缺点比较明显，随着现代信号处理技术的发展，STFT与WT已经越来越不能够满足现阶段的信号处理需求，主要是很多情况下，它俩提取的信号特征太糙，不够清晰。这也导致了很多用于提高“时频分辨率”的新技术的产生，而“同步压缩小波”（SST）就是产生于这样的背景。

synsq_toolbox_v1.1
curve_ext.c
curve_ext.m
curve_ext.mexw32
curve_ext.mexw64
curve_ext_multi.m
curve_ext_recon.m
curve_ext_snr.m
cwt_adm.m
cwt_bd_loc.m
cwt_freq.m
cwt_freq_direct.m
cwt_fw.m
cwt_iw.m
dft_fw.m
diff_mex.c
diff_mex.mexw32
diff_mex.mexw64
equantile.m
est_riskshrink_thresh.m
example_trial.mat
exportfig.m
ex_new.eps
ex_nonunif.eps
ex_synsq_vs_tfr.eps
gen_nonunif_fig.m
gen_paleo_figs.m
gen_simple_ex_fig.m
gen_subsamp_ex.m
gen_synsq_vs_stft_wavelet.m
gen_synsq_vs_tfr.m
gen_wavelet_cmp.m
gsynsq.fig
gsynsq.m
ieee_paleo_synsq.eps
interp_synsq_file.m
labeltext.m
p2up.m
padsignal.m
paleoclimate
DSDP607_clean.data.txt
plot_ext_curves.m
plot_ext_curves_cmp.m
plot_markers.m
readme.txt
rtrend.m
stft_fw.m
stft_iw.m
synchrosqueezing
compile_synsq.m
synsq_adm.m
synsq_bd_loc.m
synsq_cwt_fw.m
synsq_cwt_iw.m
synsq_cwt_squeeze.m
synsq_cwt_squeeze_mex.c
synsq_cwt_squeeze_mex.mexw32
synsq_cwt_squeeze_mex.mexw64
synsq_filtered_time_quantile.m
synsq_filter_pass.m
tight_subplot.m
tplot.m
tplot_power.m
trial_xo_signal.mat
util
equantile.m
wavelet_cmp.eps
wfiltfn.m
wfilth.m
paleoclimate
synchrosqueezing
util
compile_synsq.m
synsq_toolbox_v1.1