An analog signal has duration of one hour. The spectral content ranges from near de to 3.5 kHz.The signal is to be sampled, converted to digital format, and stored in memory for subsequent processing. To assist in recovery, the sampling rate is chosen to be 30% above the theoretical minimum. (a) Determine the sampling rate? (b) Determine the time interval between successive samples? (c) Determine the minimum number of samples that must be taken if reconstruction is desired?
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 signal has duration of one hour. The spectral content ranges from near de to 3.5 kHz.The signal is to be sampled, converted to digital format, and stored in memory for subsequent processing. To assist in recovery, the sampling rate is chosen to be 30% above the theoretical minimum.
(a) Determine the sampling rate?
(b) Determine the time interval between successive samples?
(c) Determine the minimum number of samples that must be taken if reconstruction is desired?
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
