Asian Journal of Engineering, Sciences & Technology
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A Comparative Study of MIMO-DFE Receivers

A decision feedback equalizer (DFE) is a nonlinear equalizer which utilizes the previous detector assessment to mitigate the intersymbol interference (ISI) on received symbols. Alternatively, we can say that the distortion on the current symbol that was caused by previous symbols is eliminated. While linear equalizer (LE) can be employed on the channels where the ISI is not significantly present but in case when there is a severe ISI channel then DFE's have been effectively used to mitigate ISI. Different techniques have been proposed to improve the decision feedback equalization performance. In this paper we have reviewed some of the [...]

Asian Journal of Engineering, Sciences and Technology 2010
By Khalid Mahmood, Syed Muhammad Asad, Muhammad Moinuddin
Keywords: DFE, MIMO, Equalization, LMS, Constrained optimization, MMSE.

Identification of Multivariable Wiener Model Using Radial Basis Functions Neural Networks

A new method is introduced for the identification of the nonlinear multi input multi output (MIMO) Wiener Model, comprising of linear dynamics in cascade with static nonlinearities. The static nonlinearities are modeled by Radial Basis Function Neural Networks (RBFNN) and the linear part is modeled by MIMO autoregressive moving average (ARMA) model. The new algorithm makes use of the well known mapping ability of RBFNN. The learning algorithm is an extension of SISO identification scheme presented in [1] . The proposed algorithm estimates the weights of the RBFNN and the coefficients of ARMA model based on least mean squares (LMS) principle [...]

Asian Journal of Engineering, Sciences and Technology 2010
By Syed Saad Azhar Ali, Hussain N. Al-Duwaish
Keywords: Wiener model, multivariable, Radial Basis Function Neural Network.

Comparison of Extreme Learning Machines and Support Vector Machines on Premium and Regular Gasoline Classification for Arson and Oil Spill Investigation

Extreme Learning Machine (ELM) is a recently introduced learning algorithm for single hiddenlayer feedforward neural network. Compared with classical learning algorithms in neural network, e.g. Back Propagation, ELM can achieve better performance with much shorter learning time. In the existing literature, its better performance and comparison with Support Vector Machine (SVM), over regression and general classification problems catch the attention of many researchers. In this paper, the comparison between ELM and SVM over a particular area of classification, i.e. gasoline classification for arson and oil spill investigation, is conducted. Detection and correct identification of gasoline types during arson [...]

Asian Journal of Engineering, Sciences and Technology 2010
By Sunday Olusanya Olatunji
Keywords: Support Vector Machines (SVM), Extreme Learning Machine (ELM), chromatography- mass spectrometry (GC-MS), Hidden Neuron, Gasoline.

Design of an Ultra Wideband Monopole Antenna for Handheld Devices

The basic motivation behind the choice of ultra wide band based antennas in wireless communication systems is there expedient feeding structure, wide bandwidth along with uncomplicated structure and low cost. Ultra Wideband wireless communication systems are not only serving in enabling applications like wireless monitors, wireless printers and efficient transfer of data from digital electronic devices but this standard is also finding its application in transfer of files among handheld devices such as personal digital assistants and especially for the mobile handsets. With every passing day handheld devices are miniaturizing which has given rise to the need of development of [...]

Asian Journal of Engineering, Sciences and Technology 2010
By Faraz Mahmood, Imran Mohsin, Syed M. Usman Ali, Abid Karim
Keywords: HFSS (High frequency structural simulator), UWB (ultra wide band), VSWR (Voltage standing wave ratio), S11 (Input reflection coefficient). ADS (Advance design system)
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