In this paper, experimental results on Cellular Neural Network Universal Machine (CNN-UM) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear wave...
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A method of image sequence encoding is presented, based on fractal compression of 3D data blocks without searching. A simple fractal transform scheme is used that only depends on one real-valued coefficient. We have d...
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ISBN:
(纸本)9539676940
A method of image sequence encoding is presented, based on fractal compression of 3D data blocks without searching. A simple fractal transform scheme is used that only depends on one real-valued coefficient. We have developed a software codec for the Windows95 operating system, that carries out video streams in real-time. The method can be further developed for application to videoconferencing, videotelephony or streaming video over the Internet.
In this paper, experimental results on Cellular Neural Network Universal Machine (CNN-UM) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear wave...
详细信息
ISBN:
(纸本)0780366859
In this paper, experimental results on Cellular Neural Network Universal Machine (CNN-UM) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear waves as the basic kernels of algorithms solving filtering-reconstruction and/or detection-classification problems. Showing output results from series of experiments it will be demonstrated how trigger waves, the simplest nonlinear waves, can constructively be used in a number of important application areas.
Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. The...
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This paper addresses networking and traffic control problems in network systems along with the potential for introducing soft-computing applications at supervisory control level. The incentive Stackelberg strategy con...
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This paper addresses networking and traffic control problems in network systems along with the potential for introducing soft-computing applications at supervisory control level. The incentive Stackelberg strategy control concept was introduced to the networking model that comprises subsidiary systems of users and of network. A linear strategy is proposed for the elastic traffic problem, and results are demonstrated and illustrated via Kelly's (1997) example. The presented method is extended to the non-elastic traffic problem and results are also illustrated via a slightly modified Kelly example. Ways of employing combined analytical and soft-computing approaches and techniques in a hybrid framework have been investigated. A fuzzy-Petri-net supervisor is proposed to implement the strategic decision and control layer. Insofar obtained results are rather encouraging, and this research continues further towards possible implementation as well as some open theoretical issues.
In this paper the output-tracking problem of a class of composite nonlinear systems is studied. Composite system can be represented solely by models on the grounds of its inputs and measurable outputs. It is assumed t...
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In this paper the output-tracking problem of a class of composite nonlinear systems is studied. Composite system can be represented solely by models on the grounds of its inputs and measurable outputs. It is assumed that (i) the plant system belongs to aclass of composite non linear systems, and that the fuzzy logic control system applied can efficiently use adjustable parameters to approximate its non linear system function. The new theorem guarantees the synthesized indirect fuzzy adaptive control does ensure stable output tracking and possesses the ability to reduce the number of fuzzy rules.
The problem of optimal sequential vector quantization of Markov sources is cast as a stochastic control problem with partial observations and constraints, leading to useful existence results for optimal codes and thei...
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The problem of optimal sequential vector quantization of Markov sources is cast as a stochastic control problem with partial observations and constraints, leading to useful existence results for optimal codes and their characterizations.
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