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

SYED ABDUR RAUF MAGRABI

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

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References


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

Uwe M.B. Digital signal processing with field programmable Gate Arrays. 3rd Edn. Florida State University: Springer; 2001

Leslie B. Signal and systems. 2nd Edn. Coventry University: 1998

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

Kani N. Digital signal processing. Linkoping University: 2002




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

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