Wavelet Analysis for the Calculation of FFT Length Using Digital Signal Processing

Authors

  • SYED ABDUR RAUF MAGRABI Associate Professor in Harshith College of Engineering and Technology.

DOI:

https://doi.org/10.37628/ijaic.v1i2.101

Abstract

Introduction of the microprocessor in the late 1970's and early 1980's meant digital signal processing (DSP) techniques could be used in a much wider range of applications. DSP has been used to transform and manipulate analog and digital signals. This paper inculcates the parameters and calculation of fast fourier transform (FFT) length using Spectral and Wavelet Analysis by using Texas Instruments (TMS320C6713) DSP starter kit. DSP chip – a programmable gadget, with its own local guideline code planned particularly to meet numerically-serious prerequisites of DSP fit for doing a huge number of gliding point operations every second. Keywords: Digital Signal Processing, Fast Fourier Transform, MATLAB, Spectral Analysis, TMS320C6713 DAC, Wavelets

Author Biography

SYED ABDUR RAUF MAGRABI, Associate Professor in Harshith College of Engineering and Technology.

Associate Professor in Harshith College of Engineering and Technology.

References

Monson H.H. Schaum’s outline of theory and problems of digital signal processing. 2nd Edn. Georgia Institute of Technology: 1999.

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Fred J.T. Digital filter design handbook. University of Florida: 1983.

Matlab Tutorial and Help menu

Jonathan Y.S. Digital signal processing. Northeastern University: 2003

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Published

2019-11-21

Issue

Vol. 1 No. 2 (2015)

Section

Articles