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sampling theorem

communications

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The sampling theorem is a fundamental concept in telecommunications, particularly in converting analog signals to digital ones. It states that an analog signal can be accurately reconstructed from discrete samples if the sampling rate is at least twice the highest frequency component of the signal. This minimum sampling rate is known as the Nyquist rate, and the interval between samples is the Nyquist interval. This principle is crucial for ensuring high fidelity in transmitting information like speech, audio, and video, allowing multiple signals to share communication channels efficiently.123

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