c) The continuous time signal: x(t) = cos(2n.t) + sin(2n. t) is correctly sampled at fs = 2Hz. The sequence x[n] is the sampled version of x(t)). Find the first 6 values in X[n]. Evaluate the energy and power in the sequence x[n] over the sample values n=0 to n=5. Will the complete x[n] over n = 0 to n = infinity be a power or an energy signal?

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Quantization and Resolution

Quantization is a methodology of carrying out signal modulation by the process of mapping input values from an infinitely long set of continuous values to a smaller set of finite values. Quantization forms the basic algorithm for lossy compression algorithms and represents a given analog signal into digital signals. In other words, these algorithms form the base of an analog-to-digital converter. Devices that process the algorithm of quantization are known as a quantizer. These devices aid in rounding off (approximation) the errors of an input function called the quantized value.

Probability of Error

This topic is widely taught in many undergraduate and postgraduate degree courses of: