Exercise. There is a system that works with a sampling rate of 48 kpsp and requires a bandpass filter that allows the spectral components between the sequences fa=12kHz and fb=16kHz to pass. If you are using a 32-tap FIR filter. 6) Based on the required sampling of 32 samples, it specifies the value of the frequency closest to the cutoff frequency in Hz, available in the discrete domain for the low-pass filter of the previous problem. 7) the frequency of the above response, specify it in radials normalized to the Nyquist frequency.
Exercise. There is a system that works with a sampling rate of 48 kpsp and requires a bandpass filter that allows the spectral components between the sequences fa=12kHz and fb=16kHz to pass. If you are using a 32-tap FIR filter. 6) Based on the required sampling of 32 samples, it specifies the value of the frequency closest to the cutoff frequency in Hz, available in the discrete domain for the low-pass filter of the previous problem. 7) the frequency of the above response, specify it in radials normalized to the Nyquist frequency.
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Exercise. There is a system that works with a sampling rate of 48 kpsp and requires a bandpass filter that allows the spectral components between the sequences fa=12kHz and fb=16kHz to pass. If you are using a 32-tap FIR filter.
6) Based on the required sampling of 32 samples, it specifies the value of the frequency closest to the cutoff frequency in Hz, available in the discrete domain for the low-pass filter of the previous problem.
7) the frequency of the above response, specify it in radials normalized to the Nyquist frequency.
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