If the representation period is changed to 3T0, determine the new numerical value of c{0].
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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x(t)
A1
Az-
The given figure is a graph of one fundamental period of a periodic function x(1). A CTFS harmonic function cxk] is found
based on the representation time being the same as the fundamental period To, where A1 = 5, A2 = -3, and To = 5.
If the representation period is changed to 3T0, determine the new numerical value of cx(0].
The new numerical value of c0] is
0.33 *](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1b94d5d1-8249-4b1b-8d70-6007d482e8f0%2Fcf94f455-5c57-467e-9dd0-277b08be75e9%2Fhpi5kup_processed.png&w=3840&q=75)
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