In digital signal analysis it is not possible by normal methods to retrieve components of frequency in excess of half the sampling frequency, generally referred to as the Nyquist frequency. Any frequency components that exist in excess of this value will give errors in their frequency determination because they will appear as false or 'aliased' signals. A new technique has been developed to unambiguously retrieve signals many thousands times greater than this hitherto stated limitation. A feature of the system is its ability to sample at low frequency and, without further sampling, be capable of unambiguously determining frequency components far in excess of the initial low-frequency sampling rates. Although the approach has its origins in ...
In a scenario where a cognitive radio unit wishes to transmit, it needs to know over which frequency...
Sampling devices form an interface between front ends of radio receivers and signal processing units...
Traditional radar sensing typically employs matched filtering between the received signal and the sh...
In digital signal analysis it is not possible by normal methods to retrieve components of frequency ...
Abstract — Wideband analog signals push contemporary analog-to-digital conversion systems to their p...
Hardware testing frequently involves the acquisition of waveform and instrumentation signals, which ...
[ A review of past and recent strategies for sub-Nyquist sampling] Signal processing methods have ch...
Fast-sampled models are essential for control design, e.g., to address intersample behavior. The aim...
The sampling frequency determines thequality of the analog signal that is converted. Highersampling ...
118-122This study presents a sub-Nyquist sampling model using compressed sensing (CS) as a new signa...
Multichannel sub-Nyquist sampling is an efficient technique to break through the limitation of the N...
Paper on methods to overcome the Nyquist and Shannon limitations on data capture - defeating Nyquist...
A fundamental theorem of Digital Signal Processing is Shannon's sampling theorem, whichdictates the ...
In this research paper, we devise an algorithm to verify the sampling theorem using the concepts of ...
This paper studies the disturbance rejection problem for sampled-data control systems, where disturb...
In a scenario where a cognitive radio unit wishes to transmit, it needs to know over which frequency...
Sampling devices form an interface between front ends of radio receivers and signal processing units...
Traditional radar sensing typically employs matched filtering between the received signal and the sh...
In digital signal analysis it is not possible by normal methods to retrieve components of frequency ...
Abstract — Wideband analog signals push contemporary analog-to-digital conversion systems to their p...
Hardware testing frequently involves the acquisition of waveform and instrumentation signals, which ...
[ A review of past and recent strategies for sub-Nyquist sampling] Signal processing methods have ch...
Fast-sampled models are essential for control design, e.g., to address intersample behavior. The aim...
The sampling frequency determines thequality of the analog signal that is converted. Highersampling ...
118-122This study presents a sub-Nyquist sampling model using compressed sensing (CS) as a new signa...
Multichannel sub-Nyquist sampling is an efficient technique to break through the limitation of the N...
Paper on methods to overcome the Nyquist and Shannon limitations on data capture - defeating Nyquist...
A fundamental theorem of Digital Signal Processing is Shannon's sampling theorem, whichdictates the ...
In this research paper, we devise an algorithm to verify the sampling theorem using the concepts of ...
This paper studies the disturbance rejection problem for sampled-data control systems, where disturb...
In a scenario where a cognitive radio unit wishes to transmit, it needs to know over which frequency...
Sampling devices form an interface between front ends of radio receivers and signal processing units...
Traditional radar sensing typically employs matched filtering between the received signal and the sh...