must be sam 7.26. The sampling theorem, as we have derived it, pled at a rate greater than its bandwidth (or equivalently, a rate greater than twice its highest frequency). This implies that if x(1) has a spectrum as indicated in Figure P7.26(a) then x(1) must be sampled at a rate greater than 2002. However, since the signal has most of its energy concentrated in a narrow band, it would seem reason- able to expect that a sampling rate lower than twice the highest frequency could be as a bandpass signal. There are a variety of techniques for sampling such signals, used. A signal whose energy is concentrated in a frequency band is often referred to generally referred to as bandpass-sampling techniques. x(t) ... X(jw) лід -W₂ -w₁ W₁ W₂ (a) wo ** p(t) = 8(t-nT) -W₂ Xp (t) H(jw) H(jw) p(t) iu (b) W ... wp w x, (t) Figure P7.26
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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