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m paserrmsg.m

function PASerrmsg(PASerr,SYSerr) fprintf('Pascal Error Message: %s\n',PASerr); fprintf('System Error Message: %s\n',SYSerr); k=input('Enter K for keyboard, any other key to continue or ^C to qu
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c benchmark.c

#include #include #include #include #include "expat.h" static void usage(const char *prog, int rc) { fprintf(stderr, "usage: %s [-n] f
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m fig5_4.m

% Figure 5.4(a) & (b) % analogue Chebyshev filters % % % BM % June 98 clear clf colordef(1,'white') f=0:5/128:5; ripple = 2; %passband ripple in dB ii = 3; [z,p,k]=cheb1ap(ii,rip
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m fig5_14.m

% Fig5-14 % 4th to 10th Order IIR Digital Filters % Butterworth - Bilinear % BM August 1996; Revised July 98 % JST updated May 2001 clear clf wc = 0.1; %normalised frequency wc = wc*2; %matlab
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m fig9_13b.m

% Figures 9.13(b) % DFT of two complex freqencies % with zero padding % Hamming window % % BM July 1998 clf clear colordef(1,'black') M = 64; % data size NDFT = 512; % DFT size bi
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m fig9_14.m

% Figures 9.14 % DFT of two complex freqencies % with zero padding % Dolph Chebyshev window % % BM July 1998 clf clear colordef(1,'black') M = 64; % data size NDFT = 512; % DFT si
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m fig9_11.m

% Figures 9.11 % DFT of two complex freqencies % with zero padding clf clear colordef(1,'black') M = 64; % data size NDFT = 512; % DFT size bin = 0:1:NDFT-1; % FFT bins f = [ 10 16
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m fig9_13a.m

% Figures 9.13(a) % DFT of two complex freqencies % with zero padding % Hanning window % % BM July 1998 clf clear colordef(1,'black') M = 64; % data size NDFT = 512; % DFT size bi
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l number1.l

%{ #include #include #define LEN sizeof(struct ident) struct ident { char *str; int num; struct ident *next; }; struct ident *Keyword=NULL; struct ident *Identif
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c 221105027_计续本05_李超_编译词法分析.c

#include #include #define keywordSum 8 char * keyword[keywordSum]={"if","else","for","while","do","int","read","write"}; char singleword[50]="-*/(){};,:!"; char doubleword[10]
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