Paper
2 February 2009 The lowest sampling frequency not existing in theory
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Abstract
It was demonstrated that the lowest sampling frequency fmin_sample doesn't exist in mathematics. With mathematical analysis, the principles of sampling and reconstructing a continuous signal were strictly calculated. We found that the spectra of sampling data at critical sampling frequency fcritical_sample should overlap at the highest frequency fmax of the continuous signal. The fcritical_sample was defined as double of the fmax, viz. fcritical_sample=2fmax. As we know, the reconstructed signal will be distorted with this kind of overlapped spectra. Here, we will further illustrate the theoretical results. Aided with Fast Fourier Transform(FFT), the critical sampling and the process reconstructing continuous-time signal from it were discussed by spectroscopy. A symmetrical frequency-limited spectrum F(ω) was constructed with three modified rise-cosine pulses. Its corresponding time-domain signal f(t) was worked out theoretically. f(t) was sampled with δT(t). By modifying T, the critical sampling signal was obtained. With FFT, the spectrum Fd(ω)of the sampling signal was figured out. The calculated Fd(ω) was compared with the constructed F(ω), and was analyzed for observing frequency alias. A cycle of Fd(ω) for restoring the continuous signal could be obtained when Fd(ω) was filtered by an ideal low-passed filter. With FFT, a continuous signal was reconstructed from it. As the results, the spectra of sampling data at the fcritical_sampleoverlapped at the fmax. The reconstructed signal distorted obviously. So, the lowest sampling frequency fmin_sample doesn't exist. The sampling theorem couldn't include equal sign. It is unscientific to say that the f min_sample equal to double of the fmax.
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Yizhong Song and Zhimin Zhao "The lowest sampling frequency not existing in theory", Proc. SPIE 7160, 2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications, 71601G (2 February 2009); https://doi.org/10.1117/12.805614
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KEYWORDS
Detection theory

Optical filters

Fourier transforms

Signal processing

Electronic filtering

Mathematics

Electronics

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