![]() Generating two sequences of correlated random variables Random Variables - Simulating Probabilistic Systems Method 3: Using FFT to compute convolutionĬhoosing a filter : FIR or IIR : understanding the design perspective ![]() Multiplication of polynomials and linear convolution ![]() Representing single variable polynomial functions Polynomials, convolution and Toeplitz matrices Reconstructing the time domain signal from the frequency domain samplesĬomputation of power of a signal - simulation and verification Representing the signal in frequency domain using FFT Obtaining magnitude and phase information from FFT Some observations on FFTShift and IFFTShift Interpreting FFT results - complex DFT, frequency bins and FFTShift
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