In this paper it is shown that for the purpose of nonlinear power amplifier behavioural modelling, the sampling rate can be set to the Nyquist rate of the input signal, rather than to the Nyquist rate of the output signal by making use of Zhu’s generalized sampling theorem. This claim is supported by measurements on a basestation power amplifier. The findings are that the model error obtained w...

All optical method is considered as a promising technique for high symbol rate Nyquist signal generation, which has attracted a lot of research interests for high spectral-efficiency and high-capacity optical communication system. In this paper, we extend our previous work and report the fully experimental demonstration of polarization-division multiplexed (PDM) all-optical Nyquist signal gener...

Designing matched pulse shaping filters with their cascade satisfying the Nyquist condition for minimum intersymbol interference constitutes an important task for almost all digital data radio transceivers processing an incoming data signal on the sampleby-sample basis. Despite their practical importance, there are only few sets of Nyquist filter definitions and design techniques to devise digi...

The stability of a grid-tied inverter system will be compromised in weak grid conditions. In order to address this problem, researchers have proposed using power electronics transformer (PET) connect inverters and the grid. By adjusting controller parameters or control strategy, output impedance PET low voltage (LV) converter can varied improve stability. This paper establishes models PET-based...

In this paper we investigate the effects of function composition in the form g( f (x)) = h(x) by means of a spectral analysis of h. We decompose the spectral description of h(x) into a scalar product of the spectral description of g(x) and a term that solely depends on f (x) and that is independent of g(x). We then use the method of stationary phase to derive the Nyquist limit of g( f (x)). Thi...

Compressed sensing (CS) is a powerful new data acquisition paradigm that seeks to accurately reconstruct unknown sparse signals from very few (relative to the target signal dimension) random projections. The specific objective of this study is to save wireless sensor energy by using CS to simultaneously reduce data sampling rates, on-board storage requirements, and communication data payloads. ...

Introduction: The quality of parallel MRI (pMRI) reconstructions is directly dependent on the data used for coil sensitivity estimation in SENSE [1] and/or GRAPPA [2] reconstruction coefficient calibration. In many applications, it is desirable to use self-referenced pMRI approaches over a prescan approach, to limit the effect of changes (such as motion) that occur between acquisition of the pr...

In this paper, we consider compressive sensing (CS)based recovery of delays and Doppler frequencies of targets in high resolution radars. We propose a novel sub-Nyquist sampling method in the Fourier domain based on difference sets (DS), called DS-sampling, to create dictionaries with highly incoherent atoms. The coherence of the dictionary reaches the Welch minimum bound if the DS-sampling is ...

Wideband spectrum sensing is becoming increasingly important to cognitive radio (CR) systems for exploiting spectral opportunities. This paper introduces a novel multi-rate sub-Nyquist spectrum sensing (MS) system that implements cooperative wideband spectrum sensing in a CR network. MS can detect the wideband spectrum using partial measurements without reconstructing the full frequency spectru...

In numerous TCP congestion control algorithms, TCP Vegas avoids congestion on its own initiative. However, its slow-start ending quickly and growing unsmoothly cause that the congestin window designing too small and bandwidth utilization declining too rapid, furthermore affect network efficiency and throughput dropping. . . etc. Aimed at the deficiencies, we propose a kind of Logarithmic Slow-S...