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 1- What should be the theoretical minimum sampling frequency for the signal to be reconstructed in the receiver without distortion? 2- What should be the practical minimum sampling frequency for the signal to be recreated in the receiver without distortion? 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. 6- Calculate the maximum amplitude of the probability distribution function of the quantization error. 7- What is the signal to noise ratio? 8- What is the theoretical binary transmission rate? 9- What is the practical pairwise transmission rate? 10- What could be the theoretical maximum sampling frequency? 11- What could be the practical maximum sampling frequency? 12- What is the maximum time between two consecutive samples? 13- Encode the bit strings you will create with Bipolar signaling. 14- Encode the bit strings you will create with M = xxx multi-level pulse code modulation. 15- Graph graphically the power spectral density of the Unipolar signaling if the bit strings you will create are encoded with Unipolar signaling. Calculate the frequency at which the power spectral density value drops to zero.
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 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
1- What should be the theoretical minimum sampling frequency for the signal to be reconstructed in the receiver without distortion?
2- What should be the practical minimum sampling frequency for the signal to be recreated in the receiver without distortion?
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.
6- Calculate the maximum amplitude of the probability distribution function of the quantization error.
7- What is the signal to noise ratio?
8- What is the theoretical binary transmission rate?
9- What is the practical pairwise transmission rate?
10- What could be the theoretical maximum sampling frequency?
11- What could be the practical maximum sampling frequency?
12- What is the maximum time between two consecutive samples?
13- Encode the bit strings you will create with Bipolar signaling.
14- Encode the bit strings you will create with M = xxx multi-level pulse code modulation.
15- Graph graphically the power spectral density of the Unipolar signaling if the bit strings you will create are encoded with Unipolar signaling. Calculate the frequency at which the power spectral density value drops to zero.
Step by step
Solved in 2 steps
