SI fKHz) x) ---5-2-112 f(KHz) The spectrum S(f) of a desired signal s(t) is shown above, along with the spectrum X (f) o
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SI fKHz) x) ---5-2-112 f(KHz) The spectrum S(f) of a desired signal s(t) is shown above, along with the spectrum X (f) o
SI fKHz) x) ---5-2-112 f(KHz) The spectrum S(f) of a desired signal s(t) is shown above, along with the spectrum X (f) of a corrupted signal z(t). The file x.npy contains a signal x which corresponds to the digital signal [n] that results from sampling r(t) at a sampling frequency of fo = 58.8 KHz. Specify the transfer function (or impulse response) of the filter such that the filter output y[n] when reconstructed into the analog domain will be approximately equal to s(t). If your design consists of multiple filters, specify the transfer function for each filter and how they are connected (serial/parallel). Use Python to plot the frequency response of the overall filter and the spectrum of the filter output signal to verify that the interference has been removed. Write the filter output signal to a .wav file and play the file to verify that it is now intelligible. The following items should be submitted: Organized and commented Python code • An explanation and supporting figures) of the filter design process A figure of the filter frequency (magnitude and phase) response and filter output • A brief summary of the results
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