Discrete Fourier Transform is used to transform signal in time domain to frequemcy domain. In this experiment, we ran a C program to find the DFT of a 4 -ponit and an 8-point sequemce. Also, we plotted their magnitude spectrum. From the magnitude spectrum it was observed that expansion of input signal in time domain gives compressed spectrum in frequency domain.
After designing Butterworth filtwr there was another IIR filter that was to be designed and that was Chebyshev Filter. The filter was designed by coding in SCILAB. Both Low Pass and High Pass Chebyshev filters were designed and the results were verified by manual calculations. Increasing the sampling frequency increased the accuracy of the results obtained.
oh..if there is compression in frequency domain..resolution of the spectrum would also increase.
ReplyDeleteYes and compression in frequency domain would result in expansion in time domain.
DeleteThe DFT is the most important discrete transform, used to perform Fourier analysis in many practical applications
ReplyDeleteThis Method namely the Dft has more calculations and therefore it is slower than FFT computationaly
ReplyDeleteDFT needs a lot of calculations to be done hence we use FFT which reduces calculations
ReplyDelete