FFT based Interval Arithmetic Analysis for Signal Processing System
Suganda Pendem -, Rajshekar B. Shettar · Journal of Emerging Technologies and Innovative Research · 2020
Signal processing is become a dominant role in the area of engineering. Very large scale integration made a rapid advance in the research area of Digital Signal Processing in terms of high speed VLSI architecture for real time applications. DFT is one of the important operations in digital signal processing. DFT converts a signal in discrete time domain to discrete frequency domain. Fast Fourier Transform (FFT) is a form of DFT. It is used in reducing the complexity of computations. We propose interval arithmetic CORDIC architectures to efficiently support and identify the accuracy to accomplish interval trigonometric functions, to guarantee the correct possible option of the bounds of the final value with minimum error, to analyze and to measure signals for the use of DSP (Digital signal processing) applications. This paper presents interval arithmetic Cordic algorithm based FFT for improvement in performance and signal processing implementation using MATLAB toolbox INTLAB. Interval arithmetic Cordic algorithms and its FFT based approach is a suitable method for improving the performance, accuracy and reducing latency.