*5. An analog signal, with an absolute bandwidth of 10 KHz, is to be converted to a digital signal using an A/D converter and stored in a PC. If the quantization error must be within ±0.05% of the peak-to-peak value of the analog signal, determine the storage requirement. Please assume that we are going to record 8 seconds of data, sampled at 1.5 times the Nyquist 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
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