WaveExtractforEarthquakeHOSPmatlab
所属分类：matlab编程
开发工具：matlab
文件大小：248KB
下载次数：137
上传日期：2014-04-25 15:24:44
上 传 者：
4157846
说明： 提取地震子波的完整代码，该包中不仅包含了子波提取代码，还包含了高阶统计量工具箱的完整代码，内容丰富，适合下载，欢迎各位亲下载。
(Extract the complete code of seismic wavelet, the package includes not only the wavelet extraction code, also contains the complete code, higher order statistics toolbox is rich in content, suitable for download, download welcome dear.)
文件列表:
高阶统计量\hosa\ARMAQS.M (4452, 2011-06-09)
高阶统计量\hosa\ARMARTS.M (2862, 2011-06-09)
高阶统计量\hosa\ARMASYN.M (4044, 2011-06-09)
高阶统计量\hosa\ARORDER.M (4165, 2011-06-09)
高阶统计量\hosa\ARRCEST.M (4034, 2011-06-09)
高阶统计量\hosa\BICEPS.M (5449, 2011-06-09)
高阶统计量\hosa\BICEPSF.M (5139, 2011-06-09)
高阶统计量\hosa\BICOHER.M (4206, 2011-06-09)
高阶统计量\hosa\BICOHERX.M (4717, 2011-06-09)
高阶统计量\hosa\BISPECD.M (5854, 2011-06-09)
高阶统计量\hosa\BISPECDX.M (6508, 2011-06-09)
高阶统计量\hosa\BISPECI.M (5243, 2011-06-09)
高阶统计量\hosa\BISPECT.M (1974, 2011-06-09)
高阶统计量\hosa\bispest.asv (5867, 2011-06-09)
高阶统计量\hosa\CONTENTS.M (4939, 2011-06-09)
高阶统计量\hosa\CUM2EST.M (2069, 2011-06-09)
高阶统计量\hosa\CUM2X.M (3133, 2011-06-09)
高阶统计量\hosa\CUM3EST.M (2902, 2011-06-09)
高阶统计量\hosa\CUM3X.M (3611, 2011-06-09)
高阶统计量\hosa\CUM4EST.M (4463, 2011-06-09)
高阶统计量\hosa\CUM4X.M (5704, 2011-06-09)
高阶统计量\hosa\CUMEST.M (2764, 2011-06-09)
高阶统计量\hosa\CUMTRUE.M (4516, 2011-06-09)
高阶统计量\hosa\DOA.M (5955, 2011-06-09)
高阶统计量\hosa\DOAGEN.M (5605, 2011-06-09)
高阶统计量\hosa\GLSTAT.M (8677, 2011-06-09)
高阶统计量\hosa\HARMEST.M (6512, 2011-06-09)
高阶统计量\hosa\HARMGEN.M (3757, 2011-06-09)
高阶统计量\hosa\HOSAHELP.M (4260, 2011-06-09)
高阶统计量\hosa\HOSAVER.M (706, 2011-06-09)
高阶统计量\hosa\HPRONY.M (3194, 2011-06-09)
高阶统计量\hosa\INFO.XML (402, 2011-06-09)
高阶统计量\hosa\IVCAL.M (2118, 2011-06-09)
高阶统计量\hosa\MAEST.M (3374, 2011-06-09)
高阶统计量\hosa\MAORDER.M (2915, 2011-06-09)
高阶统计量\hosa\MATUL.M (2840, 2011-06-09)
高阶统计量\hosa\NLGEN.M (2269, 2011-06-09)
高阶统计量\hosa\NLPOW.M (3912, 2011-06-09)
高阶统计量\hosa\NLTICK.M (4611, 2011-06-09)
高阶统计量\hosa\PICKPEAK.M (2721, 2011-06-09)
... ...
% README file for the HOSA Toolbox.
% Version 2.0.3 (R12 Compliant) 27 Dec 2000
%
% Note: There have been no changes in Toolbox functionality.
% *********************************************************************
% Bug fixes for version 2.0.3:
%
% 1) CUM4X - Corrected conjugation errors related to the computation of
% R_wy, R_zy and M_yx.
%
% 2) TDE - Corrected a size error when the 'svdflag' input argument was
% used.
%
% *********************************************************************
% The HOSA Manual:
%
% The classification example in the Case Studies section of the Higher
% Order Spectral Analysis Toolbox manual does not define x and y.
% Users cannot run the example because they do not have the two
% underwater acoustic signals.
% *********************************************************************
% Changes to the Toolbox for version 2.0.2:
%
% 1) There have been no changes in Toolbox functionality. Several
% of the demo M-files have been modified. In particular, each demo
% can be invoked separately without going through the HOSADEM or
% HOSADEMO functions.
%
% 2) Command-line demos will now plot to only one figure window.
%
% 3) Case-study demo figures will be closed upon completion of each
% case study.
%
% 4) The matul function has been changed to correct a bug.
% The function now produces the correct coefficient matrix
% based on the Matsuoka-Ulrych paper.
%
% 5) The harmest, doa, tde, and qpctor functions have been modified
% to validate user-entered order.
%
% 6) The hprony function has been modified to fix incompatibilities
% with the toeplitz function.
%
% 7) Several other minor changes (i.e. add grid lines)
%
% *********************************************************************
% The HOSA Manual:
%
% The classification example in the Case Studies section of the Higher
% Order Spectral Analysis Toolbox manual does not define x and y.
% Users cannot run the example because they do not have the two
% underwater acoustic signals.
%**********************************************************************
%
% Changes to the HOSA Manual
% A bug in routine glstat.m has been fixed; this leads to
% changes in the output of glstat.m; HOSA manual pages should
% be corrected as shown below (none of the interpretations change)
%
% On p 1-21,1-22:
%
% glstat(g,0.51,256)
% Test statistic for Gaussianity is 22.179 with df = 48, Pfa = 0.9995
% Linearity test:
% R (estimated) = 0.88819, lambda = 0.68932, R (theory) = 2.9288, N = 14
%
% glstat(u,0.51,256)
% Test statistic for Gaussianity is 17.4885 with df = 48, Pfa = 1
% Linearity test:
% R (estimated) = 0.72383, lambda = 0.51704, R (theory) = 2.7453, N = 14
%
% glstat(e,0.51,256)
% Test statistic for Gaussianity is 253.3529 with df = 48, Pfa = 0
% Linearity test:
% R (estimated) = 7.8894, lambda = 9.4555, R (theory) = 8.4655, N = 14
%
% glstat(x,0.51,256)
% Test statistic for Gaussianity is 277.5194 with df = 48, Pfa = 0
% Linearity test:
% R (estimated) = 6.7513, lambda = 10.6519, R (theory) = 8.968, N = 14
%
% glstat(z,0.51,256)
% Test statistic for Gaussianity is 12***0.0657 with df = 48, Pfa = 0
% Linearity test:
% R (estimated) = 606.9323, lambda = 492.5759, R (theory) = 59.9088, N = 14
%
% glstat(l,0.51,256)
% Test statistic for Gaussianity is 49.931 with df = 48, Pfa = 0.3965
% Linearity test:
% R (estimated) = 2.6047, lambda = 1.8124, R (theory) = 4.0038, N = 14
%
% p 1-96 (sunspot data)
%
% Test statistic for Gaussianity is 357.4639 with df = 60, Pfa = 0
% Linearity test:
% R (estimated) = 14.8592, lambda = 11.0332, R (theory) = 9.1222, N = 16
%
% p 1-*** (sunspot data, differenced)
%
% Test statistic for Gaussianity is 250.1965 with df = 70, Pfa = 0
% Linearity test:
% R (estimated) = 13.5335, lambda = ***449, R (theory) = 7.0433, N = 16
%
%
% p 1-101 (canadian lynx data)
%
% Test statistic for Gaussianity is 196.752 with df = 28, Pfa = 0
% Linearity test:
% R (estimated) = 6.8468, lambda = 11.299, R (theory) = 9.2282, N = 5
%
% p 1-109 (laughter data)
%
% Test statistic for Gaussianity is 71.3231 with df = 48, Pfa = 0.0161
% Linearity test:
% R (estimated) = 2.3216, lambda = 2.376, R (theory) = 4.472, N = 14
%
%**********************************************************************
%
% The classification example in the Case Studies section of the Higher
% Order Spectral Analysis Toolbox manual does not define x and y.
% Users cannot run the example because they do not have the two
% underwater acoustic signals.
%
%
% The laughter example code in the Case Studies section of the doc
% has an error: Change the two lines following
% % --------------------- power spectra and cum-4 spectra
% to
% figure(3), [px2,a21,a22] = harmest(sp,25,12,'biased',512,2);
% figure(4), [px4,a41,a42] = harmest(sp,25, 8,'biased',512,4);
%
%
% The example for estimating cumulants in the Polyspectra and Linear
% Processes section of the manual has a syntax error in its use of the
% contour command. The arguments were in the wrong order. Change the
% line to read as the following and it will work fine.
% subplot(122), contour(-n:n,-n:n,cmat,8)
%
%**********************************************************************
% Copyright (c) 1991-2001 by United Signals & Systems, Inc.
% $Revision: 1.10 $
% A. Swami November 21, 1997
% RESTRICTED RIGHTS LEGEND
% Use, duplication, or disclosure by the Government is subject to
% restrictions as set forth in subparagraph (c) (1) (ii) of the
% Rights in Technical Data and Computer Software clause of DFARS
% 252.227-7013.
% Manufacturer: United Signals & Systems, Inc., P.O. Box 2374,
% Culver City, California 90231.
%
% This material may be reproduced by or for the U.S. Government pursuant
% to the copyright license under the clause at DFARS 252.227-7013.
disp('HOSA Toolbox Version 2.0.3 (R12 compliant) 27 Dec 2000')
disp('Press any key to see readme file'),pause
clc, help readme
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