Given the following DT LTI system: y/n] – y/n – 1] – 2y[n – 2) = ¤[n] + 2r[n – 2]| y[–1] = 4, y[–2] = 0 What is the forced response of the system for an input z[n] = (-1)"u[n]?
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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![Given the following DT LTI system:
y[n] – y[n – 1] – 2y[n – 2] = ¤[n] + 2x[n – 2]
yl–1] = 4, y[–2] = 0
What is the forced response of the system for an input æ[n] = (-1)"u[n]?
O A. Yp[n] = 0
O B. Yp[n] = n(-1)"u[n]
O C. Yp[n] = 0.75(-1)"u[n]
O D. Yp[n] = 0.6667n(-1)"u[n]
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