基于经验模态分解（EMD）去噪的matlab代码

杨利霞

基于经验模态分解（EMD）去噪的matlab代码

基于经验模态分解（EMD）去噪的matlab代码,(Denoising signals using empirical mode decomposition and hurst analysis)

( i$ ~8 G3 b  q5 r& p
8 P3 A# W# f& S- g9 h
) l. g8 T) V6 b8 @

2 x4 u* R9 l/ a6 Y0 `
8 Q4 n8 Y8 C+ _  Z3 D" m6 P5 J5 S资源详情
资源评论
资源推荐
6 O3 x$ G" y4 I5 ^" C5 i/ ^
+ L8 H7 m5 ^! P# s

收起资源包目录
0 p9 b/ m8 P* F" z% N" mEMD-DFA.zip（8个子文件）
, A& q' f9 D2 b6 w! d  r8 W, E
EMD-DFA

emd.m22KB

2 O2 U3 c) P+ e4 f6 P3 K

Demo script.txt210B
) e5 @( C, j( {; S) N" i. [* c
' ~' m2 @; L4 B5 V* W/ _
7 I! j, R9 |' Q' g8 h
emd_dfadenoising.m607B
' k, I% G- R& T! A6 q
% Q: I, U! H1 o5 y8 s3 n

Noisy.xlsx63KB
/ v* ?/ H9 i% h


  W! v! e. I% ~( K6 n1 _. ~title pic.png68KB


1 t- u+ u6 u% \
# Y* V$ |4 t1 J8 yevaluate_denoising_metrics.m1KB
0 w) Z. k- S) Z
, z% T+ ]1 X; H, P% u+ P! v9 n

estimate_hurst_exponent.m802B

. i  c4 g; Y& F' x5 q* d+ _8 F6 z
  C1 z) r2 ?+ M9 R- j


license.txt2KB



& H- P8 v) n& ~5 |' ^- R8 A
5 x% h  M- m1 E) ^. _3 c- O
5 Q7 D$ Z/ S- U( {+ `8 y6 P' ?

; s1 Z: ?0 Z5 t! j) N
3 r3 X* o% m  z6 Q  o) l, b
9 n. o4 ~# U5 X. `! OCopyright (c) 2015, Aditya SundarAll rights reserved.Redistribution and use in source and binary forms, with or withoutmodification, are permitted provided that the following conditions aremet:    * Redistributions of source code must retain the above copyright      notice, this list of conditions and the following disclaimer.    * Redistributions in binary form must reproduce the above copyright      notice, this list of conditions and the following disclaimer in      the documentation and/or other materials provided with the distribution    * Neither the name of the BITS, Pilani K.K. Birla Goa Campus nor the names      of its contributors may be used to endorse or promote products derived      from this software without specific prior written permission.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THEIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSEARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BELIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, ORCONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OFSUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESSINTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER INCONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THEPOSSIBILITY OF SUCH DAMAGE.
" Q7 u% R- g7 Z
& N- v9 y) e& v0 H9 V


8 y/ L7 }7 c% F3 Y2 j



; {7 h- d$ E( P


" A2 v+ z# E- c9 Q
- T& y. D& r) s