http://cn.mathworks.com/help/signal/examples/measuring-signal-similarities.html

 
 

This example shows how to measure signal similarities. It will help you answer questions such as: How do I compare signals with different lengths or different sampling rates? How do I find if there is a signal or just noise in a measurement? Are two signals related? How to measure a delay between two signals (and how do I align them)? How do I compare the frequency content of two signals? Similarities can also be found in different sections of a signal to determine if a signal is periodic.

Comparing Signals with Different Sampling Rates

Consider a database of audio signals and a pattern matching application where you need to identify a song as it is playing. Data is commonly stored at a low sampling rate to occupy less memory.

% Load data
load relatedsig.mat;

figure
ax(1) = subplot(311);
plot((0:numel(T1)-1)/Fs1,T1,'k');
ylabel('Template 1');
grid on
ax(2) = subplot(312);
plot((0:numel(T2)-1)/Fs2,T2,'r');
ylabel('Template 2');
grid on
ax(3) = subplot(313);
plot((0:numel(S)-1)/Fs,S);
ylabel('Signal');
grid on
xlabel('Time (secs)');
linkaxes(ax(1:3),'x')
axis([0 1.61 -4 4])

The first and the second subplot show the template signals from the database. The third subplot shows the signal which we want to search for in our database. Just by looking at the time series, the signal does not seem to match to any of the two templates. A closer inspection reveals that the signals actually have different lengths and sampling rates.

[Fs1 Fs2 Fs]
ans =

        4096        4096        8192

Different lengths prevent you from calculating the difference between two signals but this can easily be remedied by extracting the common part of signals. Furthermore, it is not always necessary to equalize lengths. Cross-correlation can be performed between signals with different lengths, but it is essential to ensure that they have identical sampling rates. The safest way to do this is to resample the signal with a lower sampling rate. The resample function applies an anti-aliasing(low-pass) FIR filter to the signal during the resampling process.

[P1,Q1] = rat(Fs/Fs1);          % Rational fraction approximation
[P2,Q2] = rat(Fs/Fs2); % Rational fraction approximation
T1 = resample(T1,P1,Q1); % Change sampling rate by rational factor
T2 = resample(T2,P2,Q2); % Change sampling rate by rational factor

Finding a Signal in a Measurement

We can now cross-correlate signal S to templates T1 and T2 with the xcorr function to determine if there is a match.

[C1,lag1] = xcorr(T1,S);
[C2,lag2] = xcorr(T2,S); figure
ax(1) = subplot(211);
plot(lag1/Fs,C1,'k');
ylabel('Amplitude');
grid on
title('Cross-correlation between Template 1 and Signal')
ax(2) = subplot(212);
plot(lag2/Fs,C2,'r');
ylabel('Amplitude');
grid on
title('Cross-correlation between Template 2 and Signal')
xlabel('Time(secs)');
axis(ax(1:2),[-1.5 1.5 -700 700 ])

The first subplot indicates that the signal and template 1 are less correlated while the high peak in the second subplot indicates that signal is present in the second template.

[~,I] = max(abs(C2));
SampleDiff = lag2(I)
timeDiff = SampleDiff/Fs
SampleDiff =

   499

timeDiff =

    0.0609

The peak of the cross correlation implies that the signal is present in template T2 starting after 61 ms. In other words, signal T2 leads signal S by 499 samples as indicated by SampleDiff. This information can be used to align the signals.

Measuring Delay Between Signals and Aligning Them

Consider a situation where you are collecting data from different sensors, recording vibrations caused by cars on both sides of a bridge. When you analyze the signals, you may need to align them. Assume you have 3 sensors working at same sampling rates and they are measuring signals caused by the same event.

figure,
ax(1) = subplot(311);
plot(s1);
ylabel('s1');
grid on
ax(2) = subplot(312);
plot(s2,'k');
ylabel('s2');
grid on
ax(3) = subplot(313);
plot(s3,'r');
ylabel('s3');
grid on
xlabel('Samples')
linkaxes(ax,'xy')

Measuring Signal Similarities的更多相关文章

  1. ### Paper about Event Detection

    Paper about Event Detection. #@author: gr #@date: 2014-03-15 #@email: forgerui@gmail.com 看一些相关的论文. 1 ...

  2. Signal Handling--ref

    http://www.chemie.fu-berlin.de/chemnet/use/info/libc/libc_21.html A signal is a software interrupt d ...

  3. java 线程 Lock 锁使用Condition实现线程的等待(await)与通知(signal)

    一.Condition 类 在前面我们学习与synchronized锁配合的线程等待(Object.wait)与线程通知(Object.notify),那么对于JDK1.5 的 java.util.c ...

  4. Linux 信号(二)—— signal 函数

    弗洛伊德认为:要解决这些苦恼,当事人就要通过回忆并理解自己早期的童年经历,来获得对潜意识冲突的顿悟.弗洛伊德的疗法被称为“精神分析” (psychoanalysis),在 20 世纪的很长一段时间被心 ...

  5. Fatal signal xx (SIGSEGV) at

    Fatal signal 11问题的解决方法 http://blog.csdn.net/tankai19880619/article/details/9004619 如何定位Android NDK开发 ...

  6. php php-5.6.4.tar.bz2 apache 兼容问题 child pid 27858 exit signal Segmentation fault

    环境 [root envirotar]# uname -a Linux i2..el6.x86_64 # SMP Thu Jul :: UTC x86_64 x86_64 x86_64 GNU/Lin ...

  7. The Similarities and Differences Between C# and Java -- Part 1(译)

    原文地址 目录 介绍(Introduction) 相似点(Similarities) 编译单位(Compiled Units) 命名空间(Namespaces) 顶层成员(类型)(Top Level ...

  8. QT 中 关键字讲解(emit,signal,slot)

    Qt中的类库有接近一半是从基类QObject上继承下来,信号与反应槽(signals/slot)机制就是用来在QObject类或其子类间通讯的方法.作为一种通用的处理机制,信号与反应槽非常灵活,可以携 ...

  9. C标准头文件<signal.h>

    信号即异常,或者理解为中断,一个进程接收到一个信号,如果没有处理机制,就会按照默认的处理方式进行处理,而默认的处理方式通常是终止当前进程或忽略该信号.当然,程序也可以编写相应的处理信号的函数,一旦接收 ...

随机推荐

  1. LeetCode Linked List Cycle 单链表环

    题意:给一个单链表,判断其是否出现环! 思路:搞两个指针,每次,一个走两步,另一个走一步.若有环,他们会相遇,若无环,走两步的指针必定会先遇到NULL. /** * Definition for si ...

  2. GBDT(Gradient Boosting Decision Tree)算法&协同过滤算法

    GBDT(Gradient Boosting Decision Tree)算法参考:http://blog.csdn.net/dark_scope/article/details/24863289 理 ...

  3. MPI编程的常用接口速查

    获取当前时间 在插入MPI提供的头文件后,可以获得获取时间的函数. double MPI_Wtime(void) 取得当前时间, 计时的精度由 double MPI_Wtick(void) 取得作为对 ...

  4. 通过userAgent判断手机浏览器类型

    我们可以通过userAgent来判断,比如检测某些关键字,例如:AppleWebKit*****Mobile或AppleWebKit,需要注意的是有些浏览器的userAgent中并不包含AppleWe ...

  5. PHP经验集锦

    最近刚刚完成手中的项目,比较闲.来这儿转转,把积累的一些技巧分享给大家!1.关于PHP重定向 方法一:header("Location: index.php"); 方法二:echo ...

  6. android模块化app开发-4为APP减负

    现在android应用中一个趋势是应用越来越大,免去游戏不谈普通APP也是一个个的体积直线增长.这里面除了业务增长外各种接口jar包的对接也占了不少比重.像广告SDK,统计SDK,支付SDK等这些我们 ...

  7. 个人经验 - Android的RelativeLayout布局的layout_height属性设置为wrap_content时的坑

    Android的RelativeLayout布局的layout_height属性设置为wrap_content时的坑: 此坑出现的条件: 1.RelativeLayout布局的layout_heigh ...

  8. C++实现网格水印之调试笔记(五)—— 提取出错

    在实现提取水印的过程中,遇到了一些问题 首先还是根据论文中的思路来梳理一下整个提取流程 读入两个模型,一个原始模型ori_mesh, 一个水印模型wm_mesh. 将两个模型对齐(即放在同一个坐标系下 ...

  9. web前端开发分享-css,js入门篇(转)

    转自:http://www.cnblogs.com/jikey/p/3600308.html 关注前端这么多年,没有大的成就,就入门期间积累了不少技巧与心得,跟大家分享一下,不一定都适合每个人,毕竟人 ...

  10. 机器学习中的数学(1)-回归(regression)、梯度下降(gradient descent)

    版权声明: 本文由LeftNotEasy所有,发布于http://leftnoteasy.cnblogs.com.如果转载,请注明出处,在未经作者同意下将本文用于商业用途,将追究其法律责任. 前言: ...