Presented by:
Reza Raoufi
Hamid Khaloozadeh


Abstract


A robust/adaptive stochastic observer is presented for stochastic nonlinear dynamics having excessive uncertainties. It was shown through a new theorem that the proposed nonlinear robust sliding mode observer has very accurate state estimate error characteristic. The observer uses the sliding mode technique for the robustness and a deterministic adaptive law to guarantees a globally asymptotically convergence observation error. Finally, an example is given to illustrat ....etc

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please send the documentation and source code ....etc

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Dear Madam\sir,

I am a research student. i want the matlab codings for salt and pepper noise removal by median type noise detectors and detail preserving regularization for my project dissertation. ....etc

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I need matlab code on the topicAn Efficient Edge-based Bilateral Filter
for Restoring Real Noisy Image
....etc

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Standard Costing and Variance Analysis
Introduction
 Standard Costing is an effective management tool for planning, co-ordination and control of business. It is a technique of cost control.
 It gives better results when it is employed with budgetary control.
 It has been devised to overcome some of the limitations of historical costing.
Definition
 Standard Cost is, “a pre-determined cost” which is calculated from management’s standards of efficient operation and the relevant necessar ....etc

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Abstract
This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first
phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise
(noise candidates). In the second phase, the image is restored using a specialized regularization method
that applies only to those selected noise candidates. In terms of edge preservation and noise suppression,
our restored images show a significant improvement compared to those restored by using just nonlinear
filters or r ....etc

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See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks


INTRODUCTION

THIS paper explores a method for tracking the location of a
person or object behind walls, without the need for an
electronic device to be attached to the target. The technology
is an extension of “radio tomographic imaging” , which is
so-called because of its analogy to medical tomographic
imaging methods. We call this extension variance-based radio
....etc

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Adaptive Blind Noise Suppression in some Speech Processing Applications

In many applications of speech processing the noise reveals some specific features. Although the noise could be quite broadband, there are a limited number of dominant frequencies, which carry the most of its energy. This fact implies the usage of narrow-band notch filters that must be adaptive in order to track the changes in noise characteristics. In present contribution, a method and a system for noise suppression are develo ....etc

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In many applications of speech processing the noise reveals some specific features. Although the noise could be quite broadband, there are a limited number of dominant frequencies, which carry the most of its energy. This fact implies the usage of narrow-band notch filters that must be adaptive in order to track the changes in noise characteristics. In present contribution, a method and a system for noise suppression are developed. The method uses adaptive notch filters based on second-order Gray-Markel lattice structure. The main advantages of ....etc

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We present a method to compute the delay-constrained multicast routing tree by employing chaotic neural networks. The experimental result shows that the noisy chaotic neural network (NCNN) provides an optimal solution more often compared to the transiently chaotic neural network (TCNN) and the Hopfield neural network (HNN). Furthermore, compared with the bounded shortest multicast algorithm (BSMA), the NCNN is able to find multicast trees with lower cost. ....etc

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