DFT and FFT for frequency analysis

Aims:

1. Use MATLAB for DFT and FFT implementation
2. Use MATLB for frequency analysis

Suggestion procedure:

All the lab work should be recorded in your logbook.

1. Run MATLAB software from the Desctop. Find and records some functions for FFT in MATLAB.
• The command fft will compute a discrete Fourier transform in Matlab. Type help fft to find out more.
• Two more commands, ifft and ifftshift are needed to compute the inverse Fourier transform. Test the demo fft_demo.m

2. Read and test MATLAB codes dft.m, mydft.m, dsp_fft.m in J:\V_Holmes\NHE2404 DSP Applications\Labs\matlab dsp\dft. Identify the difference of coding and running time.

3. Use MATLAB to analyse frequency component variations before and after filtering on a sound file of your choice (You may use the codes in J:\V_Holmes\NHE2404 DSP Applications\Labs\matlab dsp\lab4q8_v.m).

3. Use Internet search engine to search and download a FFT algorithm in C and try to understand the implementation of the algorithm.

Questions: Discuss the differences of DFT and FFT implementation in MATLAB or C?

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