1.54 (a),(c),(d), Sketch the waveforms of the following signals: (a) x(t) = u(t) – u(t – 2) (b) x(t) = u(t + 1) – 2u(t) + u{t – 1} (c) x(t) = -u(t + 3} + 2u(t + 1) – 2u(t – 1) + u{t – 3) (d) y(t) = r(t + 1) – r{t) + r{t – 2) %3D %3D
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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