** Two-dimensional filtering. **

** **

** **

** Y = FILTER2(B,X) filters the data in X with the 2-D FIR **

** filter in the matrix B. The result, Y, is computed **

** using 2-D convolution and is the same size as X. **

** **

** **

** Y = FILTER2(B,X,'shape') returns Y computed via 2-D **

** convolution with size specified by 'shape': **

** 'same' - (default) returns the central part of the **

** convolution that is the same size as X. **

** 'valid' - returns only those parts of the convolution **

** that are computed without the zero-padded **

** edges, size(Y) < size(X). **

** 'full' - returns the full 2-D convolution, **

** size(Y) > size(X). **

** **

** **

** See also CONV2 . **

** **