Digital Communications: Reconstructing a 6kHz Speech Signal

AI Thread Summary
To reconstruct a 6kHz speech signal sampled at 10kHz, a suitable scheme involves using a low-pass filter to eliminate high-frequency noise and artifacts introduced during sampling. The Nyquist-Shannon sampling theorem indicates that the sampling rate must be at least twice the maximum frequency of the signal, which is satisfied in this case. Interpolation techniques, such as linear or spline interpolation, can also be employed to enhance the quality of the reconstructed signal. Additionally, applying digital signal processing techniques can further refine the output to achieve toll-quality audio. Overall, leveraging these methods will help closely approximate the original speech signal.
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Homework Statement


Consider a speech signal with a maximum frequency of 6kHz. It is sampled at 10kHz and stored. Suggest a scheme to reconstruct the toll-quality speech signal as close to the original signal as possible.


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The Attempt at a Solution

 
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