[01] Consider a baseband signal whose voltage varies over the range -16V to 4V. This signal is sampled and quantized through an 8 levels quantizer. (a) Construct the quantizer table. (b) What is the quantization noise results for each of the samples: 1.6V, -3.8V, and -15.5V?
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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![[01] Consider a baseband signal whose voltage varies over the range -16V to 4V. This signal
is sampled and quantized through an 8 levels quantizer. (a) Construct the quantizer table.
(b) What is the quantization noise results for each of the samples: 1.6V, -3.8V, and -15.5V?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe6a561d2-d204-4b56-8a71-9384882b5929%2F9cb86ba2-6fd9-4159-8a42-302eaeb54e11%2Fbq6wbf_processed.jpeg&w=3840&q=75)
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