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Nyquist Rate
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Nyquist Frequency Explained
The Nyquist frequency
The Nyquist frequency
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Control Systems in Practice: Nichols Chart, Nyquist Plot, and Bode Plot
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This simulation demonstrates the effects of sampling rate on analog signals. The top waveform (purple) represents the original continuous triangular signal, while the other waveforms show sampled versions at different frequencies β€” 1 kHz (green), 500 Hz (orange), and 250 Hz (red). As the sampling rate decreases, the reconstructed waveform becomes more distorted and loses accuracy, illustrating aliasing and quantization effects. A higher sampling rate captures more signal details, producing a wav
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if the frequency spectrum of signal has bandwidth of 500 hz with the highest frequency at 600 hz according to the nyquist theorem what should be the sampling rate 05287
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A) Consider impulse train-sampling of a continuous-time signal x(t) :x(t)=cos(2pi t) 2cos(3pi t)cos(6pi t)Assume sampling rate is 5Hz.sketch the spectrum of x(t), and spectrum of the resulted weighted impulse train x(p)(t).The frequency which, under the sampling theorem, must be exceeded by the samplingfrequency is called the Nyquist rate. Find the Nyquist rate of x(t) in Hz.Assume the resulted discrete-time sequence is x[n]. Sketch the DTFT of x[n].A) Consider impulse train-sampling of a contin
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