3-)Before sampling, what should be the theoretical and practical minimum sampling frequency if an anti-aliasing filter is used at the frequency of xxx Hz you specify? 4-)What is the mean square quantization error? 5-)Calculate the maximum quantization error.
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:
NUMERICAL DATA COMMUNICATION
An analog signal in sine form is intended to be transmitted to the receiver by pulse code modulation.
Given below Define the parameters and answer the questions asked from you.
*Peak to peak amplitude = xxx volts
*Signal frequency = xxx Hz
*Medium height form factor: xxx level
3-)Before sampling, what should be the theoretical and practical minimum sampling frequency if an anti-aliasing filter is used at the frequency of xxx Hz you specify?
4-)What is the mean square quantization error?
5-)Calculate the maximum quantization error.
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