Low power fast Fourier transform processor

Fourier Transform decomposes a function in continuous spectrum of its frequency components. Discrete Fourier Transform (DFT) is one of the most widely used Digital Signal Processing algorithms. DFTs are almost never computed directly, but are instead calculated using FFT. FFTs are of great importance to a wide variety of applications, from Digital Signal Processing to solving Partial Differential Equations.; Portable Electronics drive the need for Low Power due to limited Energy budget set by fixed battery mass. Several existing techniques to reduce the Power consumption of a Processor have been studied and a new technique has been proposed. For my Research, a Fast Fourier Transform Processor is designed using Digital and Analog Designs. Cadence and Synopsys tools are used for Simulation and generating the chip. Analog design is based on structure of the Neural Networks. The Research concludes that the Power consumed by the Analog Design is less than the Digital Design.