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Signature verification using conic section function neural network
(Springer-Verlag Berlin, 2005)
This paper presents a new approach for off-line signature verification based on a hybrid neural network (Conic Section Function Neural Network-CSFNN). Artificial Neural Networks (ANNs) have recently become a very important ...
Support vector regression for surveillance purposes
(Springer-Verlag Berlin, 2006)
This paper addresses the problem of applying powerful statistical pattern classification algorithm based on kernel functions to target tracking on surveillance systems. Rather than directly adapting a recognizer we develop ...
Bayesian compressive sensing for ultra-wideband channel estimation: algorithm and performance analysis
(Springer, 2015)
Due to the sparse structure of ultra-wideband (UWB) channels compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS the inclusion of Bayesian framework has shown potential to ...
Design of Practical Broadband Matching Networks With Lumped Elements
(IEEE-INST Electrical Electronics Engineers Inc, 2013)
It is always preferable to use commercially available software tools to design broadband matching networks for microwave communication systems. However for these tools the matching network topology and element values must ...
Lower lower-critical spin-glass dimension from quenched mixed-spatial-dimensional spin glasses
(Amer Physical Soc., 2018)
By quenched-randomly mixing local units of different spatial dimensionalities we have studied Ising spin-glass systems on hierarchical lattices continuously in dimensionalities 1 <= d <= 3. The global phase diagram in ...
Channel Estimation for Spatial Modulation Orthogonal Frequency Division Multiplexing Systems
(IEEE, 2015)
A combination of spatial modulation and orthogonal frequency division multiplexing (SM-OFDM) has been recently proposed for multicarrier systems while assuming the perfect channel state information (P-CSI) available at the ...
Rapidly Varying Sparse Channel Tracking with Hybrid Kalman-OMP Algorithm
(Springer, 2019)
It is expected from future communication standards that channel estimation algorithms should be able to operate over very fast varying frequency selective channel models. Therefore in this study autoregressive (AR) modeled ...
Information theoretical performance limits of single-carrier underwater acoustic systems
(Inst Engineering Technology-IET, 2014)
In this study the authors investigate the information theoretical limits on the performance of point-to-point single-carrier acoustic systems over frequency-selective underwater channels with intersymbol interference. Under ...
Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
(Wiley-Blackwell, 2014)
Due to the sparse structure of ultra-wideband (UWB) multipath channels there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of ...
Design of Practical Broadband Matching Networks With Mixed Lumped and Distributed Elements
(IEEE-INST Electrical Electronics Engineers Inc, 2014)
Computer-aided design (CAD) tools are always preferred for designing broadband matching networks. However these tools give excellent results when the suitable matching network topology and initial element values are provided. ...