In this paper we propose a nonlinear scalar predictor based on a combination of Multi Layer Perceptron, Radial Basis Functions and Elman networks. This system is applied to speech coding in an ADPCM backward scheme. The combination of this predictors improves the results of one predictor alone. A comparative study of this three neural networks for speech prediction is also presented.

A cross-layer design approach is proposed that can be used to optimize the cooperative use of multi-packet reception (MPR) and network coding. A simple and intuitive model is constructed for the behavior of an opportunistic network coding scheme called COPE proposed by Katti et. al., MPR, the 802.11 MAC, and their combination. The model is then applied to key small canonical topology components...

Physical-layer network coding (PLNC) has the ability to drastically improve the throughput of multi-source wireless communication systems. In this paper, we focus on the problem of channel tracking in a Decode-and-Forward (DF) OFDM PLNC system. We proposed a Kalman Filter-based algorithm for tracking the frequency/time fading channel in this system. Tracking of the channel is performed in the t...

A novel approach of decoding convolutional codes using a multi-class support vector machine is presented in this paper. Support vector machine is a recently developed and well recognized algorithm for constructing maximum margin classifiers. Unlike traditional adaptive learning approaches such as a multi-layer neural network, it is able to converge to a global optimum solution, hence achieving ...

In this paper, we consider multi-quality multicast of a video stream from a multi-antenna base station (BS) to multiple groups of single-antenna users requiring different qualities of the video stream, using scalable video coding (SVC). Leveraging the layered structure of SVC and exploiting superposition coding (SC) as well as successive interference cancelation (SIC), we propose a power-effici...

We consider compression of multi-component map images by context modeling and arithmetic coding. We apply optimized multi-level context tree for modeling the individual binary layers. The context pixels can be located within a search area in the current layer, or in a reference layer that has already been compressed. The binary layers are compressed using an optimized processing sequence that m...

With multi-layer encoding and Inter-layer prediction, Spatial Scalable High Efficiency Video Coding (SSHVC) has extremely high coding complexity. It is very crucial to speed up its promote widespread cost-effective SSHVC applications. Specifically, we first reveal that the average RD cost of Reference (ILR) mode different from Intra mode, but they both follow Gaussian distribution. Based on thi...