Find the discrete-time signal having the following DTFT spectrum. (Hint: note the "frequency shifting" property of the DTFT on p286 of the textbook. Also. note that the bump centered at w=0 is not the same as the bump centered at w = ±7.) -7-776F - 3r X' (w) - 0 퓽 3T 67 500 ㅠ ⠀ 3
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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![Find the discrete-time signal having the following DTFT spectrum.
(Hint: note the "frequency shifting" property of the DTFT on p286 of the textbook. Also,
note that the bump centered at w = 0 is not the same as the bump centered at w = ±π.)
-7-7-6
-3
8
X' (w)
+
-0
3T
8
ㅠ
3](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc012e98d-11f3-4ebf-9e91-31a87ace6c91%2F50f30ce2-8a42-433e-9cc0-faff8d730718%2Flm7xnw_processed.png&w=3840&q=75)
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