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matlab中的conv2是用于对二维数据进行卷积运算，有三个参数可供选择，下面是help content of conv2
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( E9 |/ E" f; d2 ^conv2 Two dimensional convolution.
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# G G* r H. ?0 j4 X( f; E C = conv2(A, B) peRForms the 2-D convolution of matrices A and B.) \# E" H1 N( E( T7 Q
If [ma,na] = size(A), [mb,nb] = size(B), and [mc,nc] = size(C), then
6 M3 I# s/ m4 m; L+ C mc = max([ma+mb-1,ma,mb]) and nc = max([na+nb-1,na,nb]).
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C = conv2(H1, H2, A) first convolves each column of A with the vector
* G) }6 O8 Q3 M& p( w5 i& d" j H1 and then convolves each row of the result with the vector H2. If2 ^& r( \! Q* E4 P; i/ ?: \6 j
n1 = length(H1), n2 = length(H2), and [mc,nc] = size(C) then& l$ A( Y7 ~3 H
mc = max([ma+n1-1,ma,n1]) and nc = max([na+n2-1,na,n2]).# e& L o J3 z, L
conv2(H1, H2, A) is equivalent to conv2(H1(：)*H2(：).', A) up to3 ]+ F: }1 c5 v: U$ O
round-off.
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! K) |7 c% g( g* S C = conv2(..., SHAPE) returns a subsection of the 2-D3 L" c6 _: u, Z. l$ I. V$ M
convolution with size specified by SHAPE:3 {" }* z: u0 w' y7 g& k
'full' - (default) returns the full 2-D convolution,' s0 l5 ^% q7 o7 I. [# P
'same' - returns the central part of the convolution* n. ?, S, M* d
that is the same size as A.
4 C9 M/ N/ @1 ^ 'valid' - returns only those parts of the convolution
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size(C) = max([ma-max(0,mb-1),na-max(0,nb-1)],0).0 {+ X, Q C* y6 d1 E* ~! P* _' V4 J
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0 o/ A9 p- `6 X1 T; ]关于full, same以及valid三种参数的区别，如下面的实例所示：
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full
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) d7 F$ v/ k, E2 G% }8 P3 x+ gsame
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valid7 J1 h5 g5 r$ x B. E+ {' {- i
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发表于 2020-1-14 10:27
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