Wyniki wyszukiwania - BazTech

1

Basic Aspects of Designing a High-performance Processor Structure for Calculating a "true" Discrete Fractional Fourier Transform

Cariow A., Majorkowska-Mech D.

Measurement Automation Monitoring

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2018

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Vol. 64, No. 2

43--45

EN

This paper presents a basic aspects of structural design of the highperformance processor for implementation of discrete fractional Fourier transform (DFrFT). The general idea of the possibility of parallelizing the calculation of the so-called “true” discrete Fourier transform on the basis of our previously developed algorithmic approach is presented. We specifically focused only on the general aspects of the organization of the structure of such a processor, since the details of a particular implementation always depend on the implementation platform used, while the general idea of constructing the structure of the processor remains unchanged.

2

Efficient Schur Parametrization and Modeling of p-Stationary Second-Order Time-Series for LPC Transmission

Wielgus A., Zarzycki J.

International Journal of Electronics and Telecommunications

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2018

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Vol. 64, No. 3

343--350

EN

Following the results presented in [21], we present an efficient approach to the Schur parametrization/modeling of a subclass of second-order time-series which we term p-stationary time-series, yielding a uniform hierarchy of algorithms suitable for efficient implementations and being a good starting point for nonlinear generalizations to higher-order non-Gaussian nearstationary time-series.

3

Design of fuzzy rule-based classifiers through granulation and consolidation

Riid A., Preden J.-S.

Journal of Artificial Intelligence and Soft Computing Research

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2017

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Vol. 7, No. 2

137--147

EN

This paper addresses the issue how to strike a good balance between accuracy and compactness in classification systems - still an important question in machine learning and data mining. The fuzzy rule-based classification approach proposed in current paper exploits the method of rule granulation for error reduction and the method of rule consolidation for complexity reduction. The cooperative nature of those methods - the rules are split in a way that makes efficient rule consolidation feasible and rule consolidation itself is capable of further error reduction - is demonstrated in a number of experiments with nine benchmark classification problems. Further complexity reduction, if necessary, is provided by rule compression.

4

An Efficient Early Iteration Termination for Turbo Decoder

Salija P., Yamuna B.

Journal of Telecommunications and Information Technology

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2016

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nr 2

113--122

EN

Turbo code finds wide applications in mobile communication, deep space communication, satellite communication and short-range communication despite its high computational complexity and iterative nature. Realizing capacity approaching turbo code is a great achievement in the field of communication systems due to its efficient error correction capability. The high computational complexity associated with the iterative process of decoding turbo code consumes large power, introducing decoding delay, and reducing the throughput. Hence, efficient iteration control techniques are required to make the turbo code more power efficient. In this paper, a simple and efficient early iteration termination technique is introduced based on absolute value of the mean of extrinsic information at the component decoders of turbo code. The simulation results presented clearly show that the proposed method is capable of reducing the average number of iterations while maintaining performance close to that of fixed iteration termination. The significant reduction in iteration achieved by the method reduces decoding delay and complexity while maintaining Bit Error Rate performance close to standard fixed iteration turbo decoder.