Tutorial by Examples

The simplest and perhaps best-known method for computing the FFT is the Radix-2 Decimation in Time algorithm. The Radix-2 FFT works by decomposing an N point time domain signal into N time domain signals each composed of a single point. Signal decomposition, or ‘decimation in time’ is achieved by b...

Due to the strong duality of the Fourier Transform, adjusting the output of a forward transform can produce the inverse FFT. Data in the frequency domain can be converted to the time domain by the following method: Find the complex conjugate of the frequency domain data by inverting the imaginary...