Principles of Communication Systems
Principles of Communication Systems
A universal interpolative filter for low-pass and bandpass signals---CSINC interpolator
Digital Signal Processing
Frequency-shifting using bandpass sampling
IEEE Transactions on Signal Processing
First-order sampling of bandpass signals--A new approach (Corresp.)
IEEE Transactions on Information Theory
WSEAS Transactions on Mathematics
Speech watermarking for analog flat-fading bandpass channels
IEEE Transactions on Audio, Speech, and Language Processing
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In this paper, we present a rigorous mathematical proof on the minimum sampling rate as well as all acceptable sampling rates (independent of band position) for the first-order sampling of bandpass signals. It is shown that the minimum sampling rate is between 2@s (Nyquist rate) and 3@s, where @s is the bandwidth of a bandpass signal. It is also noted that the Nyquist rate is actually an asymptotic sampling rate for the first-order sampling of bandpass signals. A so-called csinc interpolator is used in the reconstruction of a bandpass signal from its samples, which makes the sampling theorem for bandpass signals congruent with the sampling theorem for lowpass signals.