# conv2(B, A)

conv2(B,A)

2-D convolution of the matrix `B`

with the matrix `A`

. Uses 2-D FFT algorithm

## Examples

```
julia> u = [1, 2, 1];
julia> v = [1, 0, -1];
julia> A = [1 2 3; 4 5 6; 7 8 9];
julia> conv2(u, v, A)
3×3 Array{Int64,2}:
-1 0 1
-4 0 4
-7 0 7
```

In this example, `conv2`

performs a 2-D convolution of the matrix `A`

with the separable kernel generated by vectors `u`

and `v`

. The resulting convolution matrix is returned.

Common mistake example:

```
julia> u = [1, 2, 1];
julia> v = [1, 0, -1];
julia> A = [1 2 3; 4 5 6; 7 8 9];
julia> conv2(u, v, A)
ERROR: MethodError: no method matching conv2(::Array{Int64,1}, ::Array{Int64,1}, ::Array{Int64,2})
```

In this example, the inputs `u`

and `v`

are provided as 1-D arrays instead of 2-D arrays. The `conv2`

function expects 2-D arrays for `u`

and `v`

, so make sure to pass the correct input dimensions to avoid this error.

## See Also

Ac_ldiv_B, Ac_ldiv_Bc, Ac_mul_B, Ac_mul_Bc, Ac_rdiv_B, Ac_rdiv_Bc, At_ldiv_B, At_ldiv_Bt, At_mul_B, At_mul_Bt, At_rdiv_B, At_rdiv_Bt, A_ldiv_Bc, A_ldiv_Bt, A_mul_B!, A_mul_Bc, A_mul_Bt, A_rdiv_Bc, A_rdiv_Bt, Bidiagonal, cond, conv2, det, diag, diagind, diagm, diff, eig, eigvals, eigvecs, expm, eye, full, inv, isdiag, ishermitian, isposdef, isposdef!, issym, istril, istriu, logabsdet, logdet, lyap, norm, qrfact, rank, repmat, rot180, rotl90, rotr90, sortrows, sqrtm, SymTridiagonal, trace, Tridiagonal, tril, tril!, triu, triu!, writedlm,## User Contributed Notes

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