In this paper, we propose an adaptive algorithm based on accumulated signal processing, which could be applicable to Post-FFT-type OFDM adaptive array antennas. Proposed scheme calculates the weight of each element at...
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In this paper, we propose an adaptive algorithm based on accumulated signal processing, which could be applicable to Post-FFT-type OFDM adaptive array antennas. Proposed scheme calculates the weight of each element at a particular instant t, by considering both post- and pre-received symbols. Because of the use of additional forthcoming information on channel behavior in the weight calculation scheme, one can expect an improved performance in fast fading conditions by using the proposed adaptive algorithm. This paper also discusses the application of the proposed adaptive algorithm to OFDM adaptive array. In OFDM application, a few subchannels are being used to transmit pilot symbols, and at the receiver, the proposed adaptive algorithm is applied to those pilot subchannels, and interpolates the weights for the data subchannels which are allocated between the pilot subchannels. Finally, the system performance improvement with the application of the proposed adaptive algorithm is verified by computer simulation.
Within this article an adaptive approach for parallel simulation of SystemC RTL Models on future many-core architectures like the Single-chip Cloud Computer (SCC) from Intel is presented. It is based on a configurable...
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Within this article an adaptive approach for parallel simulation of SystemC RTL Models on future many-core architectures like the Single-chip Cloud Computer (SCC) from Intel is presented. It is based on a configurable parallel SystemC kernel that preserves the partial order defined by the SystemC delta cycles while avoiding global synchronization as far as possible. The underlying algorithm relies on a classification of existing communication relations between parallel processes. The type and topology of communication relations determines the type and number of causality conditions that need to be fulfilled during runtime. The parallel kernel is complemented by an automated tool flow that allows detecting relevant model-specific properties, performing a fine-grained model partitioning, classifying communication relations and configuring the kernel. Experiments by means of a MPSoC model show that pure local synchronization can provide significant performance gains compared to global synchronization. Furthermore, the combination of local synchronization with fine-grained partitioning provides additional degrees of freedom for optimization. (c) 2015 Elsevier B.V. All rights reserved.
An adaptive algorithm of direct data domain including mutual coupling effects is presented. Numerical simulation shows that this algorithm can recover the desired signal accurately in the presence of mutual coupling. ...
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An adaptive algorithm of direct data domain including mutual coupling effects is presented. Numerical simulation shows that this algorithm can recover the desired signal accurately in the presence of mutual coupling. Since the mutual coupling effects are included in the adaptive algorithm automatically, compensation on the receiving signal is then no longer required.
This paper deals with a novel algorithm for drawing contour lines in the postprocessing of the Boundary Element Method calculations for 2D potential problems. The basic idea is to use an adaptive approach to produce a...
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This paper deals with a novel algorithm for drawing contour lines in the postprocessing of the Boundary Element Method calculations for 2D potential problems. The basic idea is to use an adaptive approach to produce a triangular mesh of higher order interpolation. Based on this mesh, the smooth equipotential map can be generated. The advantage is that the CPU time in the postprocessing can be greatly reduced and a grid for drawing the equipotential map has not to be prescribed.
A scheme for compressing computer data by treating them as sequences of bytes is described. For each individual sequence to be compressed, a source model of predetermined complexity is built adaptively starting from a...
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A scheme for compressing computer data by treating them as sequences of bytes is described. For each individual sequence to be compressed, a source model of predetermined complexity is built adaptively starting from a memoryless model. An alphabet reduction technique which permits handling of each bit within a byte separately is introduced. Variable-order Markov contexts are generated for each bit within a byte by a process of selective context splitting. The selection of a context for splitting is based on the context's probability as well as the bit entropy under the context. Estimation of bit statistics under the different contexts is made adaptively and encoding is accomplished by an arithmetic code. The scheme allows the complexity of the source model, and thereby the compression performance, to be altered easily. Experiments on typical computer files show that the present scheme, at a moderate complexity level, often outperforms some of the existing schemes.< >
Despite their major advantage of hardware simplicity;ternary filters have limited usability in practice owing to their unresolved problem of adaptivity. This challenging problem is tackled by introducing an adaptive t...
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Despite their major advantage of hardware simplicity;ternary filters have limited usability in practice owing to their unresolved problem of adaptivity. This challenging problem is tackled by introducing an adaptive ternary LMS-like algorithm. Performance assessment using a sinusoidal input distorted by additive white Gaussian noise showed that the proposed algorithm is comparable to the traditional multi-bit Wiener LMS algorithm. This approach is expected to open the door for ternary systems to be ready for replacing multi-bit signal processing systems.
An adaptive algorithm is presented which ensures that the probability of a mobile radio call in progress being forced to terminate during handover in highway microcells is always small, even in the presence of high ne...
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An adaptive algorithm is presented which ensures that the probability of a mobile radio call in progress being forced to terminate during handover in highway microcells is always small, even in the presence of high new call request rates.
The structures of adaptive algorithms are examined for their impact on input-output stability and performance measures. Three general algorithm structures are considered: the a priori form, the a posteriori form, and ...
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The structures of adaptive algorithms are examined for their impact on input-output stability and performance measures. Three general algorithm structures are considered: the a priori form, the a posteriori form, and the proportional integral (PI) form. A parallel development is used to directly compare continuous- and discrete-time versions of the algorithms considered. The standard a priori and a posteriori algorithm forms are shown to be special cases of a more flexible proportional-plus-integral algorithm, which is implemented via normalization in the adaptive law. It is shown that this normalization can enhance algorithm stability and input-output performance of normalized errors, but the performance unnormalized errors may not be significantly affected. This direct comparison of simple algorithm structures serves to isolate the stability and performance properties due to these structures alone. It provides information for algorithm design, allowing the essential effects of design options to be traded off against the many other options.< >
We describe the development and application of a robot vision based adaptive algorithm for the quality control of the braided sleeving of high pressure hydraulic pipes. With our approach, we can successfully overcome ...
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We describe the development and application of a robot vision based adaptive algorithm for the quality control of the braided sleeving of high pressure hydraulic pipes. With our approach, we can successfully overcome the limitations, such as low reliability and repeatability of braided quality, which result from the visual observation of the braided pipe surface. The braids to be analyzed come in different dimensions, colors, and braiding densities with different types of errors to be detected, as presented in this paper. Therefore, our machine vision system, consisting of a mathematical algorithm for the automatic adaptation to different types of braids and dimensions of pipes, enables the accurate quality control of braided pipe sleevings and offers the potential to be used in the production of braiding lines of pipes. The principles of the measuring method and the required equipment are given in the paper, also containing the mathematical adaptive algorithm formulation. The paper describes the experiments conducted to verify the accuracy of the algorithm. The developed machine vision adaptive control system was successfully tested and is ready for the implementation in industrial applications, thus eliminating human subjectivity.
A computationally efficient algorithm based on the linear prediction property of sinusoidal signals is proposed for the direct estimation of the frequency of a real tone in white noise, assuming that the noise varianc...
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A computationally efficient algorithm based on the linear prediction property of sinusoidal signals is proposed for the direct estimation of the frequency of a real tone in white noise, assuming that the noise variance is available. The convergence behaviour and variance of the estimated frequency are derived and the ability of the method to track time-varying frequencies is demonstrated.
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