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Fast and accurate distance measurement is crucial for target tracking and node localization in Wireless Sensor Networks. For short-range Underwater Acoustic Sensor Networks (UASNs), received signal strength (RSS) can give distance between acoustic devices. An extensive study on the application of the Lambert W function over RSS for distance estimation in short-range UASNs shows that it can be done...
Noise interference and data loss are two major problems that affect the processing results of image data transmission and storage. Restoration of the lost information of an image based on the existing information is the essence of inpainting. In this paper a new algorithm based on Sample and Hold interpolation and Iteration is proposed for reconstructing damaged images from existing regions and is...
Irregular LDPC codes have shown to give performances closer to capacity than their regular counterparts. The intuitive reasoning backed by experimental evidence given by its founder (Luby et al.) was the presence of a wave-effect. It was shown that only with the presence of a carefully optimized irregularity degree profile, comes the better performance. Conventionally this irregularity profile is...
Network coding (NC) and erasure coding (EC) share a common principle of encoding incoming data packets at network intermediate nodes so that destination nodes can reconstruct the original data packets using a sufficient number of encoded data packets collected at the destinations. While NC in general reduces the number of packets sent through the network, EC introduces redundancy into the packet streams...
Principal component analysis (PCA) is known to be a powerful linear technique for data set dimensionality reduction. This paper focuses on revealing the essence of PCA to interpret the data, which is to identify the internal structure of the random process from a large experimental data set. We give an explanation of the PCA procedure performed on a generated data set to demonstrate the exact meaning...
Artificial neural networks (ANN) are known for their ability to solve classification and optimization tasks and have been applied in many fields of communications such as equalization and multiuser detection, among others. In this paper an analog realization of iterative threshold decoding for binary linear codes is presented. It is shown that the iterative threshold decoding algorithm matches well...
Human beings have a remarkable ability to determine the direction of arrival of a sound and to separate sounds of interest. Replicating this ability is a challenging problem in audio signal processing. In this paper we present a model for the head related transfer function (HRTF) developed with the localisation objective in mind. This is achieved by splitting the 3D localisation cues in terms of two...
In this paper, we analyze the applicability of Constant Modulus Algorithm (CMA), one of the most widely used and tested blind equalization technique to blind image deconvolution. With a detailed mathematical analysis, we show that the strong correlation between the neighboring spatial locations found in natural images becomes a major constraint on the convergence of CMA. In order to overcome this...
Future wireless networks are evolving towards a heterogeneous cooperative and cognitive architecture to support broadband communication needs of different types of traffic. Future wireless networks will allocate network resources based on cooperative techniques. Resource controllers will apply the cognitive principle to find out status of various networks. We propose a predictive resource allocation...
In this paper we propose an efficient, low power algorithm and its co-designed VLSI architecture for fractional-pel motion estimation (FME) in H.264/AVC. Our fractional-pel motion estimator uses a simplified FIR filter for half-pel interpolation. Usage of this filter reduces the required number of computations and the memory size and bandwidth for half-pel interpolation. Our simulations compare our...
In this paper, we present a new method for the design of ergodic sum-of-sinusoids (SOS) simulation models for multiple uncorrelated Rayleigh fading channels. The method, which is intended for a special class of SOS models, known as sum-of-cisoids (SOC) models, can be used to generate an arbitrary number of uncorrelated Rayleigh fading waveforms with specified Doppler power spectral characteristics...
To shorten the time taken to restore an IP network after a failures, we previously proposed a proactive method that uses a localization algorithm to reduce the number of alternate routing tables in the past study. Although we showed that it shortened the restoration time from failures by switching the routing tables to alternate ones set up for handling the failures, deployability remained a problem...
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