代码搜索:sprintf

找到约 7,065 项符合「sprintf」的源代码

代码结果 7,065
www.eeworm.com/read/13911/287109

m 谐比例系数2.m

clear all for h=1:20 fname=sprintf('D:\\样本\\music\\%d.wav',h); x=wavread(fname); x=x(:,1); [c,l]=wavedec(x,3,'db4'); ca=appcoef(c,l,'db4',3);%近似系数 x=ca; enframex=enframe(x,128,64);%对信号x分帧处理,每帧
www.eeworm.com/read/13911/287125

m 谐比例系数2.m

clear all for h=1:20 fname=sprintf('D:\\样本\\music\\%d.wav',h); x=wavread(fname); x=x(:,1); [c,l]=wavedec(x,3,'db4'); ca=appcoef(c,l,'db4',3);%近似系数 x=ca; enframex=enframe(x,128,64);%对信号x分帧处理,每帧
www.eeworm.com/read/13911/287134

m 谐比例系数2.m

clear all for h=1:20 fname=sprintf('D:\\study\\师姐论文\\邢峰师姐\\邢峰论文程序\\邢峰论文程序\\audio files\\music\\%d.wav',h); x=wavread(fname); x=x(:,1); [c,l]=wavedec(x,3,'db4'); ca=appcoef(c,l,'db4',3);%近似系数 x=
www.eeworm.com/read/14719/403658

m testpnn.m

%程序是正确的,但泛化能力差 clc; clear; t1=cputime; num=10; disp('正在计算数字识别PNN模型...') for i=1:num fname = sprintf('..\\digit\\%da.wav',i-1); x = wavread(fname); [x1 x2] = vad(x); m = mfcc(x); m = m(
www.eeworm.com/read/14719/403663

asv testpnn.asv

%程序是正确的,但泛化能力差 clc; clear; t1=cputime; num=10; disp('正在计算数字识别PNN模型...') for i=1:num fname = sprintf('..\\digit\\%da.wav',i-1); x = wavread(fname); [x1 x2] = vad(x); m = mfcc(x); m = m(
www.eeworm.com/read/178758/5314040

entries

/ecvt.c/1.2/Tue Jan 23 16:23:36 2001// /fcvt.c/1.2/Tue Jan 23 16:23:36 2001// /gcvt.c/1.2/Tue Jan 23 16:23:36 2001// /ksprintf.c/1.4/Tue Aug 10 14:53:03 2004// /sprintf.c/1.2/Tue Jan 23 16:23:36 2001/
www.eeworm.com/read/448381/1690266

h uart0_send.h

#include "config.h" #include "com_cfg.h" #include "UART_Ini.h" int UART0_Send(char) { uint32 i = 0; UART0_Ini(); /* 发送当前的实际波特率和未考虑小数分频器时的预期波特率 */ sprintf(string, "Hello! Real B
www.eeworm.com/read/135243/13948808

m testpnn.m

%程序是正确的,但泛化能力差 clc; clear; t1=cputime; num=10; disp('正在计算数字识别PNN模型...') for i=1:num fname = sprintf('..\\digit\\%da.wav',i-1); x = wavread(fname); [x1 x2] = vad(x); m = mfcc(x); m = m(
www.eeworm.com/read/135243/13948825

asv testpnn.asv

%程序是正确的,但泛化能力差 clc; clear; t1=cputime; num=10; disp('正在计算数字识别PNN模型...') for i=1:num fname = sprintf('..\\digit\\%da.wav',i-1); x = wavread(fname); [x1 x2] = vad(x); m = mfcc(x); m = m(
www.eeworm.com/read/372025/9525283

m 不同类音频小波包树裁剪.m

clear; dim=zeros(20,30); %20次试验,30个小波子带构成的差均值矩阵 for p=1:20 %20次试验,20对音频例子比较 fname1=sprintf('G:\\乱\\music\\%d.wav',p); x1=wavread(fname1); y1=enframe(x1,512,256);