Q2) If the response of the system to an input excitation x(t) is given by the equation y = a) Is this system homogenous (does it support scaling property)? b) Is this system time-invariant? c) Does the system support the principles of superposition? d) Does the system have memory? e) Is the system stable?
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:
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