Consider the following signals. x[n] = = πη sin (™) (¹)¹u[n – 2] Identify the DTFT of the signal x[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.
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![Consider the following signals.
x[n] =
=
πη
sin (™) (¹)¹u[n – 2]
Identify the DTFT of the signal x[n].](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd5198298-7c71-4cf0-b906-868a8309e49b%2F57aed62e-8dab-4a29-b7e7-a197623e512b%2F192tsnh_processed.png&w=3840&q=75)
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