代码搜索：IP软核
找到约 10,000 项符合「IP软核」的源代码
代码结果 10,000
www.eeworm.com/read/445831/7589511
m ip_05_10.m
% MATLAB script for Illustrative Problem 5.10.
echo on
SNRindB=0:2:10;
for i=1:length(SNRindB),
% simulated error rate
smld_err_prb(i)=smldP510(SNRindB(i));
echo off;
end;
e
www.eeworm.com/read/445831/7589512
m ip_05_09.m
% MATLAB script for Illustrative Problem 5.9.
echo on
SNRindB1=5:1:25;
SNRindB2=5:0.1:25;
M=16;
for i=1:length(SNRindB1),
% simulated error rate
smld_err_prb(i)=smldPe59(SNRindB1(i)
www.eeworm.com/read/445831/7589515
m ip_05_04.m
% MATLAB script for Illustrative Problem 5.4.
echo on
SNRindB1=0:1:12;
SNRindB2=0:0.1:12;
for i=1:length(SNRindB1),
% simulated error rate
smld_err_prb(i)=smldPe54(SNRindB1(i));
echo o
www.eeworm.com/read/445831/7589516
m ip_05_11.m
% MATLAB script for Illustrative Problem 5.11.
echo on
SNRindB=0:2:10;
for i=1:length(SNRindB),
% simulated error rate
smld_err_prb(i)=smldP511(SNRindB(i));
echo off;
end;
ech
www.eeworm.com/read/445831/7589518
m ip_05_07.m
% MATLAB script for Illustrated Problem 5.7.
echo on
n0=.5*randn(100,1);
n1=.5*randn(100,1);
n2=.5*randn(100,1);
n3=.5*randn(100,1);
x1=1.+n0;
y1=n1;
x2=n2;
y2=1.+n3;
plot(x1,y1,'o',x2,y2,'*
www.eeworm.com/read/445830/7589521
m ip_04_09.m
% MATLAB script for Illustrative Problem 4.9.
echo on
t=[0:0.01:10];
a=sin(t);
[sqnr8,aquan8,code8]=u_pcm(a,8);
[sqnr16,aquan16,code16]=u_pcm(a,16);
pause % Press a key to see the SQNR for N = 8
www.eeworm.com/read/445830/7589522
m ip_04_07.m
% ip_4_07.m added for spar
p1=0;
p2=1;
delta=1;
n=11;
tol=0.01;
b=10*p2;
uq_mdpnt('normal',b,n,delta,tol,p1,p2)
www.eeworm.com/read/445830/7589526
m ip_04_08.m
% ip_04_08.m added for spar
n=10;
tol=0.01;
p1=0;
p2=1;
b=10*p2;
[a,y,dist]=lloydmax('normal',b,n,tol,p1,p2);
www.eeworm.com/read/445830/7589531
m ip_04_04.m
% MATLAB script for Illustrative Problem 4.4.
echo on ;
a=[-10,-5,-4,-2,0,1,3,5,10];
for i=1:length(a)-1
y(i)=centroid('normal',a(i),a(i+1),0.001,0,1);
echo off ;
end
www.eeworm.com/read/445830/7589534
m ip_04_05.m
% ip_04_05.m added for spar
a=[-10 -5 -4 -2 0 1 3 5 10];
[y,dist]=mse_dist('normal',a,0.01,0,1)