Frequency domain approach for designing sampling rates for system identification - Payne, Goodwin, et al. - 1975 () Citation Context ...above the new Nyquist frequency FN = Fs/2. The sampling rate determination techniques are proposed for discrete process control and identification of dynamic ...
(fc) is expressed as a fraction of sampling rate, and must therefore be between 0 and 0.5. M sets the rate of ‘cut-off’ according to the approximation: M≈4T Where T is the width of the ‘transition band’. This transition band is also expressed as a fraction of the sampling freq...
The sampling frequency is 8 kHz, and the cutoff frequency of the filter is 2 kHz. The time-domain impulse response has a length of 401. Compute the FFT of this impulse response and specify this response as the frequency response of the frequency-domain FIR filter. Set the time-domain ...
Frequency domain field monitors can require large amounts of memory when recording data over a large spatial domain. When possible, use 1D or 2D rather than 3D monitors. Similarly, try to minimize the number of frequency points recorded. It is also possible to use spatial downsampling ...
Our findings reveal a quantitative association between hard pixels and aliasing, which is distortion caused by the overlapping of frequency components in the Fourier domain during downsampling. To identify the frequencies responsible for aliasing, we propose using the equivalent sampling rate to calculate...
(d), where we can see the more detailed structure of the Fourier transform of a Hanning window. So, in this case, we can say “zero padding in the time domain results in an increased sampling rate in the frequency domain”. Here the zero padding increased our frequency-domain sampling (...
tmax –tmin, the record length, is the time-domain duration of the selected signal region. ENBW is the equivalent noise bandwidth of the spectral window. See enbw for more details. Use the 'Leakage' name-value pair to control the ENBW. The minimum value of the argument corresponds to a ...
Quantum simulators can be investigated within the frequency domain, including quantum random walks48 and Boson sampling46. By varying the number of BS-FWM pumps and adjusting the relative phase and power between them, we can explore a variety of quantum-circuit configurations and interesting ...
Fig. 6.2 illustrates the effect of aliasing in the frequency domain. The spectrum of the signal is folded along the sub-Nyquist frequency rate. Signals at frequencies slightly higher than the sampling rate appear as aliases that are slightly lower than the sample rate. Signals farther away from...
The spectrum calculated from all the DFT coefficients represents the signal frequency range from 0 Hz to the sampling rate. The spectrum beyond the folding frequency is equivalent to the negative-indexed spectrum from the negative folding frequency to 0 Hz. This two-sided spectrum can be converted...