TD_IDFFT2 is the inverse of TD_DFFT2. It reconstructs the original input matrix from the matrix containing the computed two-dimension Fourier Coefficients previously generated using TD_DFFT2. The inverse Fourier transform transforms a signal from a frequency domain to a time domain.
When TD_DFFT2 is applied to a matrix, it calculates the Fourier coefficients for each element in the matrix. These coefficients represent the contribution of each frequency component in the original signal. TD_IDFFT2 uses these coefficients to reconstruct the original input matrix.
The result is a matrix of the same size as the input matrix. Each element in the output matrix corresponds to the reconstructed value for the corresponding element in the input matrix. Using TD_DFFT2 and TD_IDFFT2, you can transform a matrix into a frequency domain, analyze its properties in terms of the Fourier coefficients, and then transform it back to a time domain.
TD_IDFFT2 is used in image processing, audio signal processing, and data analysis. For example, it can remove specific frequency components from an image or signal, or to filter out noise from a data set. By applying the Fourier transform and its inverse, you can understand the frequency content of a signal.