Q1) Drive the difference equations that compute the signals E(s), U(s), and Y(s) for step input R(s) using bilinear transformation and sampling rate of 10HZ. R(s) E(s) U(s) Y(s) 1 s +1 -> s+2 1.
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
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