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The WiMAX (Worldwide Interoperability for Microwaves Access) is a promising technology which can offer high speed voice, video and data service up to the customer end. The development of 802.16 standards for BWA (Broadband Wireless Access) technologies was motivated by the rapidly growing need for high-speed, ubiquitous and cost effective access. The WiMAX(More)
Electromyography (EMG) signal is the muscle electrical activity. Electromyography is a technique for detecting and recording the electrical potential generated by muscle cells. This EMG signals are used in medical professionals to determine specific disorders. This paper basically deals with the analysis of different electromyography signals (NOR & MYO). In(More)
Wireless communication is the transfer of information between two or more points that are not connected by an electrical conductor. Wireless operations permit services, such as long-range communications, that are impossible or impractical to implement with the use of wires. Information is transferred in .this manner over both short and long distances.(More)
The present system of speech enhancement is developing by adaptive filtering approach in digital filters. The adaptive filter utilizes the least mean square algorithm for noise removal, but in practical application of LMS algorithm, a key parameter is the step size. As it is known, if the step size is large, the convergence rate of LMS algorithm will be(More)
Routing in ad hoc networks is somewhat more complex than routing in regular wired networks. Unreliable links and (possibly) rapid changes in topology calls for customized routing protocols. This essay aims to discuss two such protocols, namely MPOLSR and MDART The common belief is that the same is true for ad hoc networks, i.e., multi-path routing balances(More)
The electromyogram (EMG) signal contains lots of information about muscular changes related muscular disorder such as myopathy. In this paper, we present a new method for classification of EMG signals based on singular value decomposition. The EMG signal represent in the matrix form, features extracted from the singular value decomposition and singular(More)
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