This paper describes the UIcluster software tool, which partitions expressed sequence tag (EST) sequences and other genetic sequences into "clusters" based on sequence similarity. Ideally, each cluster will ...
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Future wireless systems need extremely fast and flexible architectures to support varying standards, algorithms and protocols with data rates in the range of 10-100 Mbps. Software Defined Radios (SDRs) based on DSP-FP...
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Future wireless systems need extremely fast and flexible architectures to support varying standards, algorithms and protocols with data rates in the range of 10-100 Mbps. Software Defined Radios (SDRs) based on DSP-FPGAs are a widely proposed solution for these systems. However, these SDR solutions have not been able to meet real-time requirements. We propose a programmable architecture solution for SDRs using a stream-based architecture based on the Imagine media processor. The configurable Imagine simulator allows us to investigate issues such as memory bottlenecks, number and type of functional units needed, and the utilization of those functional units. To evaluate stream-based architectures for baseband processing, we parallelize and implement sophisticated baseband algorithms including multiuser estimation, multiuser detection and Viterbi decoding on this simulator. We present the bottlenecks in such a stream-based architecture for efficient communications processing. Comparisons with current generation DSP-based solutions show orders-of-magnitude performance improvements, both due to the stream-based nature of computations as well as the increase in the number of functional units having a high utilization factor. The result is a baseband processor designed with broad system functionality and flexibility that approaches real-time performance for future wireless systems.
We consider ad hoc wireless networks that use directional antennas and have limited energy resources. To explore quantitatively the advantage offered by the use of directional antennas over the case of omnidirectional...
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In narrowband CELP coding, signal modification is often employed to improve pitch prediction at lowest bit rates. In this paper, we extend signal modification for wideband speech coding. A method for identifying, modi...
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The stochastic Cramér-Rao bound (CRB) plays an important role in array processing because several advanced high-resolution direction-of-arrival (DOA) estimation methods are known to achieve this bound asymptotica...
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The stochastic Cramér-Rao bound (CRB) plays an important role in array processing because several advanced high-resolution direction-of-arrival (DOA) estimation methods are known to achieve this bound asymptotically. In the paper, the stochastic CRB on the DOA estimation accuracy is studied in the general case of an arbitrary unknown noise field parameterised by a vector of unknowns. Explicit closed-form expressions for the CRB are derived and its properties are examined theoretically and by practically relevant numerical examples.
This paper addresses the development of an adaptive control system for keyhole arc welding process. The system developed adjusts the amperage of the peak current to achieve the desired peak current period under varyin...
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The paper reports new results on developing parallel algorithms for multiprocessor scheduling with use of cellular automata (CAs). The simpliest case when a multiprocessor system is limited to two processors, but with...
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The problem of parallel and distributed function optimization is considered. Two coevolutionary algorithms with different degrees of parallelism and different levels of a global coordination are used for this purpose ...
Various mine detection techniques are reviewed with particular emphasis on signal and image processing methods. Based on the target, mines are classified into two types; anti-tank mine (ATM) and anti-personnel mine (A...
Various mine detection techniques are reviewed with particular emphasis on signal and image processing methods. Based on the target, mines are classified into two types; anti-tank mine (ATM) and anti-personnel mine (APM). Because of the variety of mine types, current mine detection techniques are diversified. The assumption is made that most mine detection techniques consist of sensor, signal processing, and decision processes. For the sensor part, ground penetration radar (GPR), infrared (IR), and ultrasound (US) sensors are reviewed and their characteristics are summarized for the corresponding output signals. For the signal processing and decision parts, a set of image processing techniques including filtering, enhancement, feature extraction, and segmentation are surveyed. Segmentation is used to extract mine signal from various competing signals. For most image processing techniques covered by this paper, mine detection related experimental results are included or reproduced from existing works.
Adaptive Quality-of-Service management is critical for enabling effective collaboration between distributed clients in a heterogeneous (wired and wireless) environment. This is because both client profiles (capabiliti...
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