A device, apparatus and method for performing a Fast Fourier Transform (FFT).
For example, it applies a Fast Fourier Transform (FFT) or other frequency transform to blocks of a media signal, such as an image, audio or video signal.
A Fast Fourier Transform (FFT) rotation factor generation apparatus is disclosed.
The Fast Fourier Transform (FFT) processing device includes a coefficient generator, a memory, and an accumulator.
The channel frequency response is then determined based on the fast Fourier transform (FFT) of the channel impulse response.
A DSP (152) performs a fast fourier transform on the signal.
By consequence the dimension of the FFT can be reduced.
The frequency domain analysis may be based on a fast Fourier transform.
The present invention relates to an apparatus and method for variable fast Fourier transform.
The symbols to be transmitted are obtained using IFFT.
Fast Fourier Transform analysis may be used for the optical analysis.
A decompressor decompresses the compressed signal prior to transformation to the frequency domain, by a fast Fourier transform or other frequency domain transform.
An IFFT part (15) provides IFFT processings to the inputted symbol sequences.
A last fourier transform architecture has parallel data processing paths.
The sub-channel counters can be incremented based on the Fast Fourier Transform values.
The value is subjected to a high-speed Fourier transform and decomposed into frequency components constituting the noise.
The non-cyclic convolution may be calculated by overlapped Fast Fourier transform filtering.
The fast Fourier transform of the input signal is generated (16), to allow processing in the frequency domain.
Techniques for efficiently performing partial FFT for subcarriers of interest are described.
Disclosed is a fast Fourier transform circuit capable of high-speed reading and writing of data processed in the individual stages of a fast Fourier transform calculation without segmenting memory.
As an illustration of the utility of this formalism, a fast discrete S-transform algorithm is developed that has the same computational complexity as the fast Fourier transform.