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In this paper we studied effectiveness in using Compressive Sensing (CS) algorithm in order to reduce measuring in IEEE 802.15.4 Standard Wireless Sensor Network (WSN). As well known, in common WSN work system, Base Station (BS) gather some information from available nodes, which the process itself consumes a lot of energy from each node. We also use an existing CS algorithm, the Basis Pursuit. Furthermore,...
The frequency spectrum is an expensive and limited resource while the massive demand of telecommunication services both of data and number of connection continue to raise. The ordinary network becomes denser to meet the growing needs of the services. It can be done by introducing more cells in the network, with lower coverage than the ones that already exist or simply by splitting the existing cell,...
The connectivity of the user equipment is one of the important thing that must be keep by the operator. To maintain this connectivity, operator should be smart to determine the network infrastructure that is low cost, easy, and fast to be implemented. To solve those connectivity problem, in this study will be designed an ad hoc mobile phone network. In an ad hoc network mobile phone which is built...
We present an algorithm for finding solutions to combat artifacts due to temporal coding of video sequence. The compressive sensing method has been utilized tremendously in recent years to solve underdetermined problems. The use of compressive sampling in video coding is promising since video signal has a sparse property and its volume is massive. In order to reduce spatial and temporal redundancy,...
In this work, we consider a compressive sampling problem implemented in digital video compression. The compressive sensing method has a tremendous growth in recent researches. Inevitably, video compression field should explore alternatives in this novel approach to overcome some signal reconstruction drawbacks. We present the video signal representation and measurement based on dynamic sparsity of...
Compressive sensing method was proved to be able to perform lower sampling rate than the Nyquist rate yet maintaining good reconstruction quality. In this paper, we present the utilization of compressive sampling to encode video signal efficiently and compare the results with existing video coding standard, i.e. MPEG-4. A frame is first divided into blocks of identical size, and then a sparsity transform...
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