function res = ifft2 (A, m, n)
//Calculates the inverse two-dimensional discrete Fourier transform of A using a Fast Fourier Transform algorithm.
//Calling Sequence
//ifft2 (A, m, n)
//ifft2 (A)
//Parameters 
//A: input matrix
//m: number of rows of A to be used
//n: number of columns of A to be used
//Description
//This is an Octave function.
//It performs inverse two-dimensional FFT on the matrix A. m and n may be used specify the number of rows and columns of A to use. If either of these is larger than the size of A, A is resized and padded with zeros.
//If A is a multi-dimensional matrix, each two-dimensional sub-matrix of A is treated separately.
//Examples
//x = [1 2 3; 4 5 6; 7 8 9]
//m = 4
//n = 4
//ifft2 (A, m, n)
//ans =
//
//   2.81250 + 0.00000i  -0.37500 + 0.93750i   0.93750 + 0.00000i  -0.37500 - 0.93750i
//  -1.12500 + 0.93750i  -0.31250 - 0.50000i  -0.37500 + 0.31250i   0.31250 + 0.25000i
//   0.93750 + 0.00000i  -0.12500 + 0.31250i   0.31250 + 0.00000i  -0.12500 - 0.31250i
//  -1.12500 - 0.93750i   0.31250 - 0.25000i  -0.37500 - 0.31250i  -0.31250 + 0.50000i

funcprot(0);
lhs = argn(1)
rhs = argn(2)
if (rhs < 1 | rhs > 3)
error("Wrong number of input arguments.")
end

select(rhs)
	
	case 1 then
	res = callOctave("ifft2", A)

	case 2 then
	error("Wrong number of input arguments.")

	case 3 then
	res = callOctave("ifft2", A, m, n)

	end
endfunction