Determine if a signal matches a segment of a noisy longer stream of data. Learn to align signals of different lengths using cross-correlation. Synchronize data collected by different sensors at …

Jan 30, 2014 · Start with a cross-covariance (xcov) instead of the cross-correlation. xcov removes the DC component (subtracts off the mean) of each data set and then does the cross-correlation.

This repository aims at providing some MATLAB code that can be used as examples for signal processing and analysis of noisy signals. The code is written as a MATLAB live script, and can …

Determine if a signal matches a segment of a noisy longer stream of data. Learn to align signals of different lengths using cross-correlation. Synchronize data collected by different sensors at …

A single noise signal can be represented as a random process with specified statistical properties. For array antennas, the noise signals at each element output can be correlated, so we will …

Aug 21, 2008 · vector generalization of matlab standard function randn () with correlations. inputs: Rpp - pXp correlation matrix nSamp - number of samples outputs: data matrix of size [p rows …

My question is a mix of signal processing and Matlab coding. I have an FIR filter with added noise $w_n$ $$x_n=\sum_ {m=0}^ {N_h-1}h_mg_ {n-m}+w_n.$$ Now the noise $w_n$ has the …

Keep in mind that the relationship could be affected by the nature of the signal and noise, but it should give you an idea of what to expect. This simulation can be executed with the following …

Signal Processing Toolbox™ provides a family of correlation and convolution functions that let you detect signal similarities. Determine periodicity, find a signal of interest hidden in a long data …

This example shows how to use the cross-correlation sequence to detect the time delay in a noise-corrupted sequence. The output sequence is a delayed version of the input sequence …