We extend various bit-level and word-level expressions for representation of switching functions, such as SOP, Reed-Muller expressions, arithmetic, and Walsh expressions, to functions used in Fibonacci interconnection...
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ISBN:
(纸本)9539676940
We extend various bit-level and word-level expressions for representation of switching functions, such as SOP, Reed-Muller expressions, arithmetic, and Walsh expressions, to functions used in Fibonacci interconnection topologies. The corresponding Fibonacci decision diagrams (FibDD) are used as graphic representations of these expressions. At the same time, FibDD are used as a data structure to efficiently calculate coefficients in the introduced expressions, and to perform design of related networks. In this way, we provide a base to extend the application of powerful CAD design tools for switching functions to functions in Fibonacci interconnection topologies.
In this paper, we extend various Boolean representations for switching functions, as SOPs, Reed-Muller expressions, Kronecker and Pseudo Kronecker ANDEXOR expressions, to functions used in Fibonacci interconnection to...
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ISBN:
(纸本)0769510833
In this paper, we extend various Boolean representations for switching functions, as SOPs, Reed-Muller expressions, Kronecker and Pseudo Kronecker ANDEXOR expressions, to functions used in Fibonacci interconnection topologies. Then, we extend the world-level expressions, as arithmetic expressions, and Walsh expressions, to these functions. We introduce the corresponding decision diagrams as graphic representations of these bit-level and word-level expressions. In this way, we provide a base to extend the application of powerful CAD design tools using polynomial expressions and DDs for switching functions to functions in Fibonacci interconnection topologies.
We present a method for design of networks for realization of functions represented by Fibonacci decision diagrams (FibDDs) and for calculation of the generalized Fibonacci spectral transforms. For a given function f,...
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ISBN:
(纸本)0780366859
We present a method for design of networks for realization of functions represented by Fibonacci decision diagrams (FibDDs) and for calculation of the generalized Fibonacci spectral transforms. For a given function f, the structure of the network which realizes f is derived from the FibDD for f. We extend this method to design circuits for calculation of the generalized Fibonacci spectra from FibDDs.
As a novel system description and problem solving method, agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent interactions. Current research about agent org...
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As a novel system description and problem solving method, agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent interactions. Current research about agent organization are mostly being undertaken in an agent organization model, organization structure, organization rules, organization formation and evolution, so it is necessary to extend the research to analyze mental states and their relations. In the paper, the mental states of commitments in agent organization are defined and analyzed including internal commitment, social commitment, group commitment and organization commitment. The semantics and properties of different commitments are given so advancing the works associated with agent organization.
We propose efficient semidefinite programming methods for designing signal-adapted compaction filters with: (i) spectral mask, and (ii) regularity constraints. In both cases, the initial problem, formulated with the K...
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ISBN:
(纸本)9539676940
We propose efficient semidefinite programming methods for designing signal-adapted compaction filters with: (i) spectral mask, and (ii) regularity constraints. In both cases, the initial problem, formulated with the Kalman-Yakubovich-Popov lemma, is transformed by simplifying its dual and the result is an SDP problem with Toeplitz matrices and small number of variables. All resulting methods, which may be gathered in a single unifying formulation, always give the optimal filter. We present experimental evidence showing convenient execution times and good numerical accuracy.
The recent information explosion has led to massively increased demand for multimedia data storage and retrieval techniques. Content-based retrieval is an important alternative and complement to the traditional keywor...
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The recent information explosion has led to massively increased demand for multimedia data storage and retrieval techniques. Content-based retrieval is an important alternative and complement to the traditional keyword-based searching for multimedia data and can greatly enhance information management. For the last ten years, the Biomedical and Multimedia Information technology (BMIT) Group and recently the Center for Multimedia Signal processing (CMSP) have conducted systematic studies and research activities on this topic. Some of the works relating to content-based image/video retrieval and their applications are briefly presented in this paper.
This paper addressed the problem of Out-Of-Vocabulary (OOV) utterance detection in small vocabulary telephone keyword spotting system. We propose a new approach for modeling OOV words in the scenario of a small vocabu...
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ISBN:
(纸本)7801501144
This paper addressed the problem of Out-Of-Vocabulary (OOV) utterance detection in small vocabulary telephone keyword spotting system. We propose a new approach for modeling OOV words in the scenario of a small vocabulary of telephone keyword spotting system. The paper adopt the semi-continuous Hidden Markov Model with multiple codebooks to modeling the keywords. We propose a two pass procedure to spot the real keyword occurrence. In the first pass, the normal viterbi search procedure is applied, with the appropriate defined and trained garbage models and silence models. The output of this stage produces the N-best word hypothesis The second pass, which can be seen as a verification procedure, take the first pass output as focuses. This approach is mainly constructing a "dynamic anti-model" based on the detected hypothesis keyword model and the current input acoustic information.
Features of male/female facial images are examined by analyzing the distribution of connection weights of the hidden-layer unit and the input-layer unit of a neural network that responds to their distinction. Twenty-f...
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Features of male/female facial images are examined by analyzing the distribution of connection weights of the hidden-layer unit and the input-layer unit of a neural network that responds to their distinction. Twenty-five gray-level (black-and-white) facial images were used for each of the male and female samples. Several different numbers of mosaic blocks were used for the whole face region and each facial component region. The training parameters of the neural network and the minimum number of hidden layers that can discriminate male/female were obtained by a genetic algorithm. The neural network consisting of these parameters has a stable convergence in any region so that this can discriminate male/female with 100% accuracy. In the feature extraction experiments, hidden layers were obtained, which significantly respond to male/female facial regions. The facial features of male/female can be extracted by analyzing the connection weights between the hidden-layer unit and the input-layer unit. The facial features extracted by using the proposed method were similar to those obtained by other psychological experiments and facial measurements.
Software architectural styles that represent structural characteristics of software programs range from specific ones that can be applied to a particular domain to generic ones that can be applied to any domain. If a ...
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Software architectural styles that represent structural characteristics of software programs range from specific ones that can be applied to a particular domain to generic ones that can be applied to any domain. If a specific architectural style is available for the target system to be developed, it is appropriate to apply it together with its associated modeling method. However, no quantitative evaluation on the efficiency of specific architectural styles has as yet been reported. This paper presents a quantitative comparison of two architectural styles: specific and generic software architectural styles. The comparison shows that a specific architectural style combined with its associated modeling method allows us to reduce modeling cost as much as a few scores of percent compared with the generic one combined with its modeling method. The improvement results from the characteristics that (1) a specific software architectural style requires less rewriting of modeling diagrams due to its inherent basic structure and (2) there is less redundant information among modeling diagrams.
The authors define the Fibonacci decision diagrams (FibDDs) permitting representation of functions defined in a number of points different from N=2/sup n/ by decision diagrams consisting of nodes with two outgoing edg...
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The authors define the Fibonacci decision diagrams (FibDDs) permitting representation of functions defined in a number of points different from N=2/sup n/ by decision diagrams consisting of nodes with two outgoing edges. We show the relationships between the FibDDs and the contracted Fibonacci codes. Then, we define the Spectral Fibonacci DDs (FibSTDDs) in terms of the generalized Fibonacci transforms. This broad family of transforms provides a corresponding family of FibSTDDs. These DDs allow compact representations of functions with simple Fibonacci spectra. Such representations may be useful in various tasks of signal processing, including image processing and systems design, where the generalized Fibonacci transforms have been efficiently used.
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