Which of the following is true about Signal-to-noise ratio? a. In linear codes, as the amplitude of a sample increases, SQR remains essentially constant b. SQR is inversely proportional with the amplitude of the signal c. SQR increases when the resolution is decreased. d. As the number of PCM bits increases, the SQR decrease
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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Which of the following is true about Signal-to-noise ratio?
a. In linear codes, as the amplitude of a sample increases, SQR remains essentially constant
b. SQR is inversely proportional with the amplitude of the signal
c. SQR increases when the resolution is decreased.
d. As the number of PCM bits increases, the SQR decreases
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