• 黄小伟儿
    了解作者
  • matlab
    开发工具
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    文件格式
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  • 2020-04-03 14:58
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BD算法降噪,盲反褶积新算法,比MCKD,MED算法更加有效。
CYCBD.zip
  • test_signals
  • signal_case3.mat
    114.7KB
  • signal_case4.mat
    106.3KB
  • signal_case1.mat
    76KB
  • signal_case5.mat
    125.6KB
  • signal_case6.mat
    227KB
  • signal_case2.mat
    75.9KB
  • readme.pdf
    142.8KB
  • MaxCycloBD_SIMO.m
    5KB
  • MaxCycloBDangle.m
    4.7KB
  • MaxCycloBD.m
    3.9KB
  • demo_CYCBD.m
    23.2KB
  • license.txt
    1.3KB
内容介绍
<html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta charset="utf-8"> <meta name="generator" content="pdf2htmlEX"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <link rel="stylesheet" href="https://static.pudn.com/base/css/base.min.css"> <link rel="stylesheet" href="https://static.pudn.com/base/css/fancy.min.css"> <link rel="stylesheet" href="https://static.pudn.com/prod/directory_preview_static/62542f40b744eb386fa5f19e/raw.css"> <script src="https://static.pudn.com/base/js/compatibility.min.js"></script> <script src="https://static.pudn.com/base/js/pdf2htmlEX.min.js"></script> <script> try{ pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({}); }catch(e){} </script> <title></title> </head> <body> <div id="sidebar" style="display: none"> <div id="outline"> </div> </div> <div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/62542f40b744eb386fa5f19e/bg1.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">Bind<span class="_ _0"> </span>decon<span class="_ _1"></span>v<span class="_ _1"></span>olution<span class="_ _0"> </span>via<span class="_ _0"> </span>maxim<span class="_ _1"></span>um<span class="_ _0"> </span>cyclostationarit<span class="_ _1"></span>y</div><div class="t m0 x2 h2 y2 ff2 fs0 fc0 sc0 ls0 ws0">Matlab<span class="_ _2"> </span>do<span class="_ _3"></span>cumentation</div><div class="t m0 x3 h3 y3 ff3 fs1 fc0 sc0 ls0 ws0">M.<span class="_ _4"> </span>Buzzoni,<span class="_ _4"> </span>J.<span class="_ _4"> </span>An<span class="_ _1"></span>toni<span class="_ _4"> </span>and<span class="_ _4"> </span>G.<span class="_ _4"> </span>D&#8217;Elia</div><div class="t m0 x4 h4 y4 ff4 fs2 fc0 sc0 ls0 ws0">Last<span class="_ _5"> </span>up<span class="_"> </span>date:<span class="_ _6"> </span>Decem<span class="_ _1"></span>b<span class="_ _7"></span>er<span class="_ _5"> </span>2017</div><div class="t m0 x5 h5 y5 ff5 fs3 fc0 sc0 ls0 ws0">F<span class="_ _8"></span>older<span class="_ _0"> </span>con<span class="_ _1"></span>ten<span class="_ _1"></span>ts<span class="_ _0"> </span>and<span class="_ _9"> </span>&#64257;le<span class="_ _9"> </span>descriptions</div><div class="t m0 x6 h6 y6 ff6 fs4 fc0 sc0 ls0 ws0">MaxCycloBD.m</div><div class="t m0 x7 h7 y7 ff7 fs4 fc0 sc0 ls0 ws0">This<span class="_ _4"> </span>function<span class="_ _4"> </span>p<span class="_ _7"></span>erforms<span class="_ _4"> </span>the<span class="_ _4"> </span>blind<span class="_ _4"> </span>decon<span class="_ _1"></span>v<span class="_ _1"></span>olution<span class="_ _4"> </span>of<span class="_ _4"> </span>signal<span class="_ _4"> </span>x<span class="_ _4"> </span>for<span class="_ _4"> </span>a</div><div class="t m0 x7 h7 y8 ff7 fs4 fc0 sc0 ls0 ws0">single-input-single-output<span class="_ _6"> </span>system<span class="_ _4"> </span>by<span class="_ _4"> </span>&#64257;nding<span class="_ _6"> </span>the<span class="_ _6"> </span>optimal<span class="_ _6"> </span>in<span class="_ _1"></span>verse</div><div class="t m0 x7 h7 y9 ff7 fs4 fc0 sc0 ls0 ws0">&#64257;lter<span class="_ _5"> </span>(FIR<span class="_ _5"> </span>form)<span class="_ _a"> </span>that<span class="_ _5"> </span>maximizes<span class="_ _5"> </span>the<span class="_ _a"> </span>cyclostationarit<span class="_ _1"></span>y<span class="_ _a"> </span>of<span class="_ _5"> </span>the<span class="_ _5"> </span>out-</div><div class="t m0 x7 h7 ya ff7 fs4 fc0 sc0 ls0 ws0">put.</div><div class="t m0 x6 h6 yb ff6 fs4 fc0 sc0 ls0 ws0">MaxCycloBD_SIMO.m</div><div class="t m0 x7 h7 yc ff7 fs4 fc0 sc0 ls0 ws0">This<span class="_ _6"> </span>function<span class="_ _6"> </span>performs<span class="_ _6"> </span>the<span class="_ _6"> </span>sim<span class="_ _1"></span>ultaneous<span class="_ _6"> </span>blind<span class="_ _6"> </span>decon<span class="_ _1"></span>volution<span class="_ _4"> </span>of</div><div class="t m0 x7 h7 yd ff7 fs4 fc0 sc0 ls0 ws0">m<span class="_ _1"></span>ultiple<span class="_"> </span>signals<span class="_"> </span>x<span class="_"> </span>for<span class="_ _b"> </span>a<span class="_"> </span>single-input-m<span class="_ _1"></span>ultiple-output<span class="_"> </span>system<span class="_ _b"> </span>by</div><div class="t m0 x7 h7 ye ff7 fs4 fc0 sc0 ls0 ws0">&#64257;nding<span class="_ _5"> </span>the<span class="_ _a"> </span>optimal<span class="_ _a"> </span>inv<span class="_ _1"></span>erse<span class="_ _a"> </span>&#64257;lters<span class="_ _a"> </span>(FIR<span class="_ _a"> </span>form)<span class="_ _5"> </span>that<span class="_ _a"> </span>maximizes<span class="_ _a"> </span>the</div><div class="t m0 x7 h7 yf ff7 fs4 fc0 sc0 ls0 ws0">cyclostationarit<span class="_ _1"></span>y<span class="_ _a"> </span>of<span class="_ _a"> </span>the<span class="_ _a"> </span>output.</div><div class="t m0 x6 h6 y10 ff6 fs4 fc0 sc0 ls0 ws0">MaxCycloBDangle.m</div><div class="t m0 x7 h7 y11 ff7 fs4 fc0 sc0 ls0 ws0">This<span class="_ _4"> </span>function<span class="_ _4"> </span>p<span class="_ _7"></span>erforms<span class="_ _4"> </span>the<span class="_ _4"> </span>blind<span class="_ _4"> </span>decon<span class="_ _1"></span>v<span class="_ _1"></span>olution<span class="_ _4"> </span>of<span class="_ _4"> </span>signal<span class="_ _4"> </span>x<span class="_ _4"> </span>for<span class="_ _4"> </span>a</div><div class="t m0 x7 h7 y12 ff7 fs4 fc0 sc0 ls0 ws0">single-input-single-output<span class="_ _6"> </span>system<span class="_ _4"> </span>by<span class="_ _4"> </span>&#64257;nding<span class="_ _6"> </span>the<span class="_ _6"> </span>optimal<span class="_ _6"> </span>in<span class="_ _1"></span>verse</div><div class="t m0 x7 h7 y13 ff7 fs4 fc0 sc0 ls0 ws0">&#64257;lter<span class="_ _5"> </span>(FIR<span class="_ _5"> </span>form)<span class="_ _a"> </span>that<span class="_ _5"> </span>maximizes<span class="_ _5"> </span>the<span class="_ _a"> </span>cyclostationarit<span class="_ _1"></span>y<span class="_ _a"> </span>of<span class="_ _5"> </span>the<span class="_ _5"> </span>out-</div><div class="t m0 x7 h7 y14 ff7 fs4 fc0 sc0 ls0 ws0">put<span class="_ _4"> </span>through<span class="_ _4"> </span>a<span class="_ _4"> </span>weigh<span class="_ _1"></span>ting<span class="_ _4"> </span>matrix<span class="_ _6"> </span>de&#64257;ned<span class="_ _4"> </span>in<span class="_ _4"> </span>the<span class="_ _4"> </span>angle<span class="_ _4"> </span>time/angle</div><div class="t m0 x7 h7 y15 ff7 fs4 fc0 sc0 ls0 ws0">domain.</div><div class="t m0 x6 h6 y16 ff6 fs4 fc0 sc0 ls0 ws0">demo_CYCBD.m</div><div class="t m0 x7 h7 y17 ff7 fs4 fc0 sc0 ls0 ws0">This<span class="_ _5"> </span>interactiv<span class="_ _1"></span>e<span class="_ _a"> </span>script<span class="_ _a"> </span>sho<span class="_ _1"></span>ws<span class="_ _a"> </span>six<span class="_ _a"> </span>di&#64256;erent<span class="_ _5"> </span>applications<span class="_ _a"> </span>of<span class="_ _5"> </span>the<span class="_ _a"> </span>pre-</div><div class="t m0 x7 h7 y18 ff7 fs4 fc0 sc0 ls0 ws0">vious<span class="_ _5"> </span>functions,<span class="_ _5"> </span>extracting<span class="_ _5"> </span>cyclostationary<span class="_ _c"> </span>sources<span class="_ _c"> </span>from<span class="_ _5"> </span>noisy<span class="_ _5"> </span>ob-</div><div class="t m0 x7 h7 y19 ff7 fs4 fc0 sc0 ls0 ws0">serv<span class="_ _1"></span>ed<span class="_ _a"> </span>signals<span class="_ _a"> </span>and<span class="_ _a"> </span>considering<span class="_ _a"> </span>di&#64256;erent<span class="_ _5"> </span>interferences.</div><div class="t m0 x5 h5 y1a ff5 fs3 fc0 sc0 ls0 ws0">Syn<span class="_ _1"></span>tax</div><div class="t m0 x5 h6 y1b ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>[h,s,kappa,count,err]<span class="_ _0"> </span>=<span class="_ _9"> </span>MaxCycloBD(x,N,alpha,fs,param,p)</div><div class="t m0 x5 h6 y1c ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>SISO<span class="_ _0"> </span>BLIND<span class="_ _9"> </span>DECONVOLUTION<span class="_ _0"> </span>VIA<span class="_ _0"> </span>MAXIMUM<span class="_ _9"> </span>CYCLOSTATIONARITY</div><div class="t m0 x5 h6 y1d ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _d"> </span>Blind<span class="_ _9"> </span>deconvolution<span class="_ _0"> </span>of<span class="_ _9"> </span>signal<span class="_ _0"> </span>x<span class="_ _0"> </span>by<span class="_ _9"> </span>finding<span class="_ _0"> </span>the<span class="_ _9"> </span>optimal<span class="_ _0"> </span>inverse<span class="_ _9"> </span>filter<span class="_ _0"> </span>(FIR<span class="_ _0"> </span>form)</div><div class="t m0 x5 h6 y1e ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _d"> </span>that<span class="_ _9"> </span>maximizes<span class="_ _0"> </span>the<span class="_ _9"> </span>cyclostationarity<span class="_ _0"> </span>of<span class="_ _0"> </span>the<span class="_ _9"> </span>output.</div><div class="t m0 x5 h6 y1f ff6 fs4 fc0 sc0 ls0 ws0">%</div><div class="t m0 x5 h6 y20 ff6 fs4 fc0 sc0 ls0 ws0">%--------</div><div class="t m0 x5 h6 y21 ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>Inputs</div><div class="t m0 x5 h6 y22 ff6 fs4 fc0 sc0 ls0 ws0">%--------</div><div class="t m0 x5 h6 y23 ff6 fs4 fc0 sc0 ls0 ws0">%</div><div class="t m0 x5 h6 y24 ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>x.........observed<span class="_ _0"> </span>signal</div><div class="t m0 x5 h6 y25 ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>N.........FIR<span class="_ _0"> </span>filter<span class="_ _9"> </span>length</div><div class="t m0 x5 h6 y26 ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>alpha.....cyclic<span class="_ _0"> </span>frequency<span class="_ _9"> </span>set<span class="_ _0"> </span>(in<span class="_ _0"> </span>the<span class="_ _9"> </span>form<span class="_ _0"> </span>of<span class="_ _9"> </span>a<span class="_ _0"> </span>vector)</div><div class="t m0 x5 h6 y27 ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>fs........sampling<span class="_ _0"> </span>frequency<span class="_ _9"> </span>of<span class="_ _0"> </span>x</div><div class="t m0 x5 h6 y28 ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>param.....structure<span class="_ _0"> </span>of<span class="_ _9"> </span>setting<span class="_ _0"> </span>parameters<span class="_ _0"> </span>organized<span class="_ _9"> </span>as<span class="_ _0"> </span>follows:</div><div class="t m0 x5 h6 y29 ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _e"> </span>param.ER......minimal<span class="_ _9"> </span>relative<span class="_ _0"> </span>error<span class="_ _9"> </span>on<span class="_ _0"> </span>result<span class="_ _0"> </span>(default<span class="_ _9"> </span>value<span class="_ _0"> </span>=<span class="_ _9"> </span>1e-3)</div><div class="t m0 x5 h6 y2a ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _e"> </span>param.iter....maximum<span class="_ _9"> </span>number<span class="_ _0"> </span>of<span class="_ _9"> </span>iterations<span class="_ _0"> </span>(default<span class="_ _0"> </span>value<span class="_ _d"> </span>=<span class="_ _9"> </span>50)</div><div class="t m0 x5 h6 y2b ff6 fs4 fc0 sc0 ls0 ws0">%<span class="_ _9"> </span>p.........cyclostationarity<span class="_ _0"> </span>order<span class="_ _9"> </span>to<span class="_ _0"> </span>maximize<span class="_ _0"> </span>(default<span class="_ _9"> </span>=<span class="_ _0"> </span>2)</div><div class="t m0 x5 h6 y2c ff6 fs4 fc0 sc0 ls0 ws0">%</div><div class="t m0 x8 h7 y2d ff7 fs4 fc0 sc0 ls0 ws0">1</div></div><div class="pi" data-data='{"ctm":[1.611850,0.000000,0.000000,1.611850,0.000000,0.000000]}'></div></div> </body> </html>
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