A DSP system contains an anti-aliasing second-order Butterworth low-pass filter (LPF) with a cutoff frequency of 3.4KHz, followed by a sample and hold circuit with a sampling frequency of 8KHz, then terminated by an analog-to-digital converter (ADC) as a coding stage. Let the analog frequency at its input is 2KHz. Calculate percentage level of aliasing %.
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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A DSP system contains an anti-aliasing second-order Butterworth low-pass filter (LPF) with a cutoff frequency of 3.4KHz, followed by a sample and hold circuit with a sampling frequency of 8KHz, then terminated by an analog-to-digital converter (ADC) as a coding stage. Let the analog frequency at its input is 2KHz.
- Calculate percentage level of aliasing %.
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