代码搜索：sequence

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m cirshftt.m

function y = cirshftt(x,m,N) % Circular shift of m samples wrt size N in sequence x: (time domain) % ------------------------------------------------------------------- % [y] = cirshftt(x,m,N) % y
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m ex020200.m

% Chapter 02: Example 02.02: Signal Synthesis % figure(1); clf n = -2:10; x = [1:7,6:-1:1]; % a) x1(n) = 2*x(n-5) - 3*x(n+4) [x11,n11] = sigshift(x,n,5); [x12,n12] = sigshift(x,n,-4); [x1,n1] =
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m ex020500.m

% Example 2.5 % % x(n)=[u(n)=u(n-10]; h(n)=(0.9)^n*u(n) % y(n)=10*(1-(0.9)^(n+1))*(u(n)-u(n-10))+ % (10*(1-(0.9)^10)*(0.9)^(n-9))*u(n-10) n = -5:50; u1 = stepseq(0,-5,50); u2=stepseq(10,-5
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m ex021100.m

% Example 2.11 % % x(n) = u(n)-u(n-10) % h(n) = (0.9)^n * u(n) % diff eqn: y(n) - 0.9y(n-1) = x(n) % b = [1]; a = [1,-0.9]; n = -5:50; x = stepseq(0,-5,50) - stepseq(10,-5,50); y = filter(b,a,
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c parsingviterbi_test.c

/* parsingviterbi_test.c * Wed Mar 4 15:07:37 1998 * * Test driver for P7ParsingViterbi(); alignment in linear memory. * * CVS $Id: parsingviterbi_test.c,v 1.6 2003/10/04 18:26:49 eddy Exp $
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c hmmpfam.c

/************************************************************ * HMMER - Biological sequence analysis with profile HMMs * Copyright (C) 1992-2003 Washington University School of Medicine * All Right
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c alistat_main.c

/***************************************************************** * HMMER - Biological sequence analysis with profile HMMs * Copyright (C) 1992-2003 Washington University School of Medicine * All
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c rk.c

/***************************************************************** * HMMER - Biological sequence analysis with profile HMMs * Copyright (C) 1992-2003 Washington University School of Medicine * All
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c iupac.c

/***************************************************************** * HMMER - Biological sequence analysis with profile HMMs * Copyright (C) 1992-2003 Washington University School of Medicine * All
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m ip_07_04.m

% MATLAB script for Illustrative Problem 7.4 mapping=[0 1 3 2 7 6 4 5]; % for Gray mapping M=8; E=1; sequence=[0 1 0 0 1 1 0 0 1 1 1 1 1 1 0 0 0 0]; [e]=cm_dpske(E,M,mapping,sequence); % e
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