A. The baseband signal in the image Is transmuted by using a linear delta modulation (ΔM), the modulator has the following specifications Sampling rate = 5 Fnyquist, where Fnyquist is the Nyquist rate of the baseband signal, bandwidth = 5 KHz. 1. Determine the maximum step size Δ for delta modulation of this signal, which required avoiding slope overload. 2. Determine the signal to noise ratio in decibel for the signal. 3. What is the maximum power that be transmitted without slope overload distortion 4. if the step size of the delta modulation is 0.02 determine the amplitude and maximum power of baseband signal to a void slope overload .
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.
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A. The baseband signal
in the image
Is transmuted by using a linear delta modulation (ΔM), the modulator has the following specifications
Sampling rate = 5 Fnyquist, where Fnyquist is the Nyquist rate of the baseband signal, bandwidth = 5 KHz.
1. Determine the maximum step size Δ for delta modulation of this signal, which required avoiding slope overload.
2. Determine the signal to noise ratio in decibel for the signal.
3. What is the maximum power that be transmitted without slope overload distortion
4. if the step size of the delta modulation is 0.02 determine the amplitude and maximum power of baseband signal to a void slope overload .
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