An analog audio signal (no filtering) is sampled at a rate of 44 ksample/s, and each sample is then encoded into 16-bit. (a) Determine the memory size (in Mbyte) that is needed to store 30 minutes of the audio signal. (b) Find the values of fmax, and type and percentage % of sampling. Hint: referring to audio signal specifications
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:
An analog audio signal (no filtering) is sampled at a rate of 44 ksample/s, and each sample is then encoded into 16-bit.
(a) Determine the memory size (in Mbyte) that is needed to store 30 minutes of the audio signal.
(b) Find the values of fmax, and type and percentage % of sampling. Hint: referring to audio signal
specifications
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