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MJEE-1

Majlesi Journal of Electrical Engineering

Editor-in-Chief: Farbod Razzazi, PhD

Online ISSN: 2345-3796

Print ISSN: 2345-377X

Publishes Quarterly


Volume 9 (2015)

Issue 3, September 2015

Original Article
New Adaptive Sliding Mode Controller for Depth Control of Autonomous Underwater Robot

Sliding mode control is a robust controller against modeling imprecisions and external disturbances, successfully employed to the dynamic positioning of autonomous underwater robot. In order to improve the performance of the whole system, the discontinuity in the control law must be smoothed out to avoid the undesirable chattering and unwanted ripples. One of the disadvantages […]

Original Article
Comparing Undecimated Wavelet, Nonsubsampled Contourlet and Shearlet for Sar Images Despeckling

Synthetic Aperture Radar (SAR) images suffer of multiplicative speckle noise, which damages the radiometric resolution of SAR images and makes the data interpretation difficult. Bayesian shrinkage in a transformed domain is a well-known method based on finding threshold value to suppress the speckle noise. This paper present a new approach to obtain the optimum threshold […]

Original Article
Advantages of multiple estimation in the frequency-selective block fading MIMO environments

The performance of the multiple-estimation (ME) is examined in multiple-input multiple-output (MIMO) frequency-selective fading channels. The least squares (LS) technique, the shifted scaled least squares (SSLS) estimator, and the minimum mean square error (MMSE) estimator are probed in this paper. In the uniform and non-uniform power allocation, the closed form equations are obtained for total […]

Original Article
Optimal control of nonlinear systems using Multi-Layer Perceptron Neural Network and adaptive extended Kalman Filter

In this paper we present a nonlinear optimal control method based on approximating the solution of Hamilton-Jacobi-Bellman (HJB) equation. Value function is approximated as the output of Multilayer Perceptron Neural Network (MLPNN). Parameters of MLPNN are weights and biases of each layer that form structure of the proposed neural network. These parameters are unknown thus […]

Original Article
Current-Mode High-Precision Full-Wave Rectifier Based on Carbon Nanotube Field Effect Transistors

Carbon nanotube field effect transistors (CNTFET) with extraordinary properties such as high carrier mobility, excellent thermal conductivity and high current carrying capability could be seen as a good replacement for CMOS technology. By connecting gate and drain in carbon nanotube field effect transistor, this device operates as a diode, similar to a diode-connected transistor in […]

Original Article
A new combined index applied for anticipatory load shedding with voltage stability consideration

Under-voltage load shedding is an important measurement to maintain the voltage stability in power systems. In this paper, a new combined index is proposed for under-voltage load shedding. The proposed index is weighted combination of importance, sensitivity and value of loads. This is of paramount importance, since three vital factors such as importance of load, […]

Original Article
Design of a Wide Tuning-Range‎, ‎High Swing Fully Differential CMOS VCO With a Differential Tunable Active Inductor

In this paper‎, ‎an inductor-less‎, ‎high frequency tuning range and low power CMOS voltage controlled oscillator (VCO) is presented‎. ‎The VCO can be implemented in 0.18 µm CMOS‎, ‎with 1.8 V supply voltage‎. ‎By using a novel structure‎, ‎a high frequency tuning range‎, ‎low phase noise and low power consumption VCO‎, ‎is obtained‎. ‎In order […]

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