VLSI Implementation of High Speed and High Resolution FFT Algorithm Based on Radix 2 for DSP Application

Abstract:     
Using Fast Fourier Transform (FFT) is indispensable in most signal processing applications. Designing an appropriate algorithm for the implementation of FFT can be efficacious in digital signal processing. Sophisticated techniques such as pipelining and parallel calculations have potential impacts on VLSI implementation of FFT algorithm. Furthermore, a mathematic approach such as floating point calculation achieves higher precision. In this paper, an efficient algorithm with using parallel and pipelining methods is proposed to implement high speed and high resolution FFT algorithm. Latency reduction is an important issue to implement the high speed FFT on FPGA. The Proposed FFT algorithm shows the latency of 5131 clock pulse when N refers to 1024 points. The design has the mean squared error (MSE) of 0.0001 which is preferable to Radix 2 FFT.

Number of Pages in PDF File: 4

Keywords: radix, FFT, butterfly, VLSI, floating point

JEL Classification: F14, L, O14

Accepted Paper Series