Sketch the discrete time signals x1(n) and x2(n) corresponding to the sampling periods T1=0.5s and T,2=0.3s, respectively, for the signal x(t) given below left. Assume that the sampler takes the right limit of the signal at nT; (i.e. x; (nT,) = lim x(1). t-nT
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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