代码搜索：信号链
找到约 10,000 项符合「信号链」的源代码
代码结果 10,000
www.eeworm.com/read/471956/6884515
m duanshiguolv.m
close all
a1=zeros(1,620);K=450;R=zeros(1,250);
duanshnl=0;maxx=0;speech=zeros(1,1000);
sp1=wavread('h:\语音信号处理\a.wav');%11000采样频率
sp=wavread('h:\语音信号处理\f.wav');%11000采样频率
L=mean(sp);sp=sp-L;L2=me
www.eeworm.com/read/194957/8182370
m 例9-21 .m
％首先在±2的区间内产生间隔为0.01数值
t = -1:0.01:2
％然后使用rectpuls函数产生矩形脉冲信号
rectwave=rectpuls(t)
％接着绘制矩阵脉冲信号波形，波形如图9-23所示
plot(t,rectwave)
％最后使用axis函数调整坐标轴
axis([-1 2 0,1.1])
www.eeworm.com/read/395232/8188671
m a_d_1.m
function [sampl,quant,pcm]=a_d_1(A,F,P,D)
%单频正弦波模拟信号的抽样实现%
Fs=20*F;
t=0:1/Fs:2/F;
samp=A*sin(2*pi*F*t+P);
figure(1)
plot(t,samp);
title('正弦波信号波形图');
xlabel('时间');ylabel('幅度');
grid on
%单频正弦波
www.eeworm.com/read/370800/9585021
asv mul_channel.asv
function output_sig=mul_channel(input_sig,num,a,delay,fd,ofdm_symbol_num,pilot_num)%t_interval,counter,count_begin)
%input_sig输入信号矩阵,加了cp后的信号，大小为NL×(子载波个数+cp长度lp)[144*120]；
%num多径数;
%var_pow各径相对主径的
www.eeworm.com/read/415746/11055894
m 5-1.m
%例程5－1 计算随机信号的时域统计特征
% e.g.5-1.m for example5-1;
% to test function of mean/var/std;
clear all;
N=10^5;
X=randn(1,N); %产生随机噪声信号
disp('均值');
X_1=mean(X)
disp('均方值');
X_2=mean(X.*X)
disp('
www.eeworm.com/read/415275/11078536
c lcdinit.c
#define uchar unsigned char
#define LCD_CHAR 0x14
sbit cd = P3^0; /*通道选择*/
sbit rd = P3^1; /*读操作信号*/
sbit wr = P3^2; /*写操作信号*/
sbit error0 = P1^5; /*出错提示1*/
sbit error1 = P1^6; /*出错提示2*/
www.eeworm.com/read/268860/11117722
m exam10_10.m
clc;
clear;
% 采用补零的扩展模式（参见dwtmode函数）
% 装载一维尺度信号
load leleccum;
s = leleccum(1:3920);
% 使用db1在第3层进行分解
[c,l] = wavedec(s,3,'db1');
subplot(4,1,1);plot(s);
title('原始信号');
% 从小波分解结构[c,l]中提取1、2
www.eeworm.com/read/268860/11117736
m exam10_8.m
clc;
clear;
% 采用补零的扩展模式 （参见dwtmode函数）
% 装载一维信号
load sumsin; s = sumsin;
subplot(2,1,1);plot(s);title('原始信号');
%使用sym4进行尺度为5的分解
[c,l] = wavedec(s,5,'sym4');
% 从小波分解结构[c,l]，重构尺度为5的低频部分
a5 = wr
www.eeworm.com/read/413561/11150650
txt speechdenoising.txt
clear
clc
%在噪声环境下语音信号的增强
%语音信号为读入的声音文件
%噪声为正态随机噪声
sound=wavread('c12345.wav');
count1=length(sound);
noise=0.05*randn(1,count1);
for i=1:count1
signal(i)=sound(i);
end
for i=1:count1
y(i)=
www.eeworm.com/read/300386/13916298
m mybss.m
%“盲信号分离的matlab仿真”，信号与信息处理专业，罗敏，061120054
clear all
clc
K=4;
N=100;
k=1:N;
s1=rand(1,N);
s2=square(2*pi*k/8); %generate a square wave with a period of 2*pi
s3=sin(2*pi*k/32);
s4=cos(2*pi*k/