Correlation Signal Processing ES & BM.

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Presentation transcript:

Correlation Signal Processing ES & BM

Introduction Correlation is a mathematical operation that is very similar to convolution. Just as with convolution, correlation uses two signals to produce a third signal. This third signal is called the cross-correlation of the two input signals. If a signal is correlated with itself, the resulting signal is instead called the autocorrelation. Signal Processing ES & BM

The problem: Given a signal of some known shape, what is the best way to determine where (or if) the signal occurs in another signal..?? Correlation is the answer. Signal Processing ES & BM

Signal Processing ES & BM

The amplitude of each sample in the cross-correlation signal is a measure of how much the received signal resembles the target signal, at that location. This means that a peak will occur in the cross-correlation signal for every target signal that is present in the received signal. In other words, the value of the cross-correlation is maximized when the target signal is aligned with the same features in the received signal. Signal Processing ES & BM

Signal Processing ES & BM

Mathematics Difference between convolution and correlation??? No flipping in case of correlation. Signal Processing ES & BM

Operations involved Shifting Multiplication Addition Signal Processing ES & BM

Convolution vs. correlation Convolution is the relationship between a system's input signal, output signal, and impulse response. Correlation is a way to detect a known waveform in a noisy background. The similar mathematics is only a convenient coincidence. Signal Processing ES & BM