Howtosignalprocessing
- What is cross-correlation in digital signal processing?
- What is the expression of cross-correlation of energy signals?
- What is the difference between cross-correlation and convolution?
What is cross-correlation in digital signal processing?
In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This is also known as a sliding dot product or sliding inner-product. It is commonly used for searching a long signal for a shorter, known feature.
What is the expression of cross-correlation of energy signals?
In signal processing, cross-correlation Rf g is used to assess how similar two different signals f (t) and g(t) are. Rf g is found by multiplying one signal, f (t) say, with time-shifted values of the other g(t + τ), then summing up the products.
What is the difference between cross-correlation and convolution?
Cross-correlation and convolution are both operations applied to images. Cross-correlation means sliding a kernel (filter) across an image. Convolution means sliding a flipped kernel across an image.
