We use the DFT to compute the amplitude spectrum of a sampled data sequence with a sampling rate fs =5,000Hz. It requires the frequency resolution to be less than 0.5 Hz. determine the number of data points used by the FFT algorithm and actual frequency resolution in Hz, assuming that the data samples are available for selecting the number of data points

Q: A signal with frequency 2268 Hz is sampled, and in the spectrum of the sampled signal there exist a…

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Q: An analog signal has duration of one hour. The spectral content ranges from near de to 3.5 kHz.The…

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Q: The plot below shows a sampled continuous signal, with red dots indicating sample points. Determine…

A: Given, Blue waveform indicates the given input continuous signal. Red dots indicates the sampled…

Q: the total sampling time

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Q: Signal

A: Given: Maximum frequency of baseband signal is : fm=46.4 KHz

Q: analog television signal containing  frequencies up to 4.5MHz is to be coded by an  ADC. The…

A: We need to find out data rate for given signal .

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: