Fir filtering operation? Also convolution?

1. Is convolution used for filtering?
2. What is the difference between convolution and filtering?
3. How does a FIR filter work?

Is convolution used for filtering?

Convolution filters are filters (multi-dimensional data) used in Convolution layer which helps in extracting specific features from input data. There are different types of Filters like Gaussian Blur, Prewitt Filter and many more which we have covered along with basic idea.

What is the difference between convolution and filtering?

filter can handle FIR and IIR systems, while conv takes two inputs and returns their convolution. So conv(h,x) and filter(h,1,x) would give the same result. The 1 in filter indicates that the recursive coefficients of the filter are just [1] .

How does a FIR filter work?

The finite impulse response (FIR) filter is a nonrecursive filter in that the output from the filter is computed by using the current and previous inputs. It does not use previous values of the output, so there is no feedback in the filter structure.