. It simply states that a signal can be recovered from its samples as long as it is sampled at . a. Information Theory b. Sampling Theorem c. Shannon-Hartley Theorem d. Hartley’s Law 4. This is the number of samples per second that leave the quantizer. a. bits per second b. sampling rate c. bit rate d. symbol rate
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
This topic is widely taught in many undergraduate and postgraduate degree courses of:
3. It simply states that a signal can be recovered from its samples as long as
it is sampled at .
a. Information Theory b. Sampling Theorem
c. Shannon-Hartley Theorem d. Hartley’s Law
4. This is the number of samples per second that leave the quantizer.
a. bits per second b. sampling rate
c. bit rate d. symbol rate
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