IMPLEMENTATION OF PERIODOGRAM SMOOTHING OF NOISY
IMPLEMENTATION OF PERIODOGRAM SMOOTHING OF NOISY SIGNALS USING TMS320C6713 DSK
By B D Satish & Tanmay Gupta
Abstract:
Periodogram Smoothing is a technique of power spectrum estimation.
The discrete Fourier transform of a digital signal simply resolves the
frequency components.
The algorithm is implemented on Texas Instruments’ TMS320C6713
DSP Starter Kit (DSK). This is a 32-bit floating-point digital signal processor
running at 225 MHz. The programs are basically written in the C programming
language. However, those sections of code which are time-critical and
memory-critical are written in assembly language of C6713. A MATLAB™
graphical user interface is also provided. The MATLAB™ program calls C
programs loaded in Code Composer Studio (CCS). The C programs in turn
call the assembly programs when required.
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