The spectral Galerkin procedure is often used to analyze scattering by metallic gratings. The resistive boundary condition is applied to metallic gratings that are assumed to be zero-thickness plane gratings. However,...
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Electrophoretic analyses of acid extracts from mature sperm of newt, Cynops pyrrhogaster, on acid/urea/Triton X-100 polyacrylamide gel showed the exclusive occurrence of sperm-specific nuclear basic proteins (SBPs), w...
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Using various templates, many applications of cellular neural network (CNN), such as a feature extraction, an edge detection and a pattern classification have been considered. In a Hopfield network, an image to be sto...
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Using various templates, many applications of cellular neural network (CNN), such as a feature extraction, an edge detection and a pattern classification have been considered. In a Hopfield network, an image to be stored corresponds to the minimum value of the energy of the network. However, in CNN, an image corresponds to the equilibrium state of a differential equation. A synthesis procedure for designing a CNN that will store a set of desired vectors as memory points using a singular value matrix decomposition is considered. Also analyzed here is the indeterminate phenomenon of the equilibrium states of some cells that arise in the case in which more than two similar patterns are stored for Chinese characters.
An optical fiber multi-function device consisting of a single gradient-index-rod lens and a multi-facet blazed reflection grating is proposed to simultaneously realize functions of wavelength demultiplexing and optica...
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An optical fiber multi-function device consisting of a single gradient-index-rod lens and a multi-facet blazed reflection grating is proposed to simultaneously realize functions of wavelength demultiplexing and optical signal distribution in a multimode optical fiber transmission system. We analyzed the demultiplexing characteristics and the tolerance of optical components using the ray trace method. This device can realize not only low loss optical signal distribution but also offers improved demultiplexing characteristics in comparison with the previously proposed demultiplexer-multiposition switch. The following characteristics are expected from the design using commercially available optical components: a working band of 0.64-0.88 mu m, channel separation of 34-36 nm, 3 dB bandwidth of 27-28 nm, channel cross-talk of less than -40 dB and minimum excess insertion loss of 0.9-2.1 dB.
This paper presents a new upper bound on overall bit error rate (BER) for a concatenated code which consists of an inner convolutional code and an outer interleaved Reed-Solomon code. The upper bound on BER is derived...
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This paper presents a new upper bound on overall bit error rate (BER) for a concatenated code which consists of an inner convolutional code and an outer interleaved Reed-Solomon code. The upper bound on BER is derived based on a lower bound on the effective minimum distance of the concatenated code. This upper bound can be used for the cases when the interleaver size is small such that the conventional upper bound is not applicable.
We propose and demonstrate a unique optical signal inverter using injection locking in coupled semiconductor lasers with a narrow-band Fabry-Perot (F-P) etalon. In this method, one laser diode is operated as a master ...
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We propose and demonstrate a unique optical signal inverter using injection locking in coupled semiconductor lasers with a narrow-band Fabry-Perot (F-P) etalon. In this method, one laser diode is operated as a master laser to control the injection locking and the other is operated as a slave laser. By setting of the F-P etalon inside the coupled cavity, the locking and unlocking states can be allocated to the lon and high levels for the output power respectively. Under direct modulation of the master laser, the inverted light signal is available from the output port. This optical inverter can be operated at an output power of similar to 7 mW.
We present a new class of trellis-codes for partial-response channel. Our code configuration is based on the coded 1 - D scheme due to Wolf rind Ungerboeck. However, no precoder between a convolutional encoder and the...
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We present a new class of trellis-codes for partial-response channel. Our code configuration is based on the coded 1 - D scheme due to Wolf rind Ungerboeck. However, no precoder between a convolutional encoder and the partial-response channel is used. A new lower bound on the minimum free squared Euclidean distance of channel code is shown. The bound is available for any PR channel with a finite response New codes for 1 - D and (1 - D)(1 + D)(2) channels are found by computer code starch using the lower bound. Some of the new codes have excellent properties: a significant d(free)(2) and a small decoding complexity.
In this paper, the envelope soliton behavior of a magnetostatic forward volume wave propagating in a microstrip line with a YIG film substrate is discussed both experimentally and theoretically from a point of view of...
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In this paper, the envelope soliton behavior of a magnetostatic forward volume wave propagating in a microstrip line with a YIG film substrate is discussed both experimentally and theoretically from a point of view of generation of short microwave pulse. Experiments are carried out at around a frequency of 3 GHz. It is observed that input pulse signal of 35 ns duration is compressed into 10 ns by soliton. To explain the soliton properties, simulations are carried out using the split step Fourier transform method. It is shown theoretically that observed pulse compression characteristics are caused by the nonlinear effect of the permeability in the YIG film, and that a non-uniform DC bias magnetic field is effective in reducing attenuation and to observe the compressed pulse. These results can be useful for microwave pulse compression devices or generating a microwave short pulse.
This paper proposes a new approach to hidden-layer size reducing for multilayer neural networks, using the orthogonal least-squares (OLS) method based on the Gram-Schmidt orthogonal transformation. A neural network wi...
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ISBN:
(纸本)0780342089
This paper proposes a new approach to hidden-layer size reducing for multilayer neural networks, using the orthogonal least-squares (OLS) method based on the Gram-Schmidt orthogonal transformation. A neural network with a large hidden-layer size is first trained via a standard training rule. Then the OLS method is introduced to identify and eliminate redundant neurons such that a simpler neural network is obtained. The OLS method is employed as a forward regression procedure to select a suitable set of neurons from a large set of preliminarily trained hidden neurons, such that the input to the output-layer neuron is reconstructed with less hidden neurons. Simulation results are included to show the efficiency of the proposed method.
When building up a fuzzy diagnosis system, symptom parameters (SPs) must be extracted and the membership functions between the symptom parameters and failure categories must be defined for fuzzy inference. Currently, ...
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When building up a fuzzy diagnosis system, symptom parameters (SPs) must be extracted and the membership functions between the symptom parameters and failure categories must be defined for fuzzy inference. Currently, however, there is no acceptable method for extracting the optimum SP by which the failure types can be sensitively distinguished. In order to overcome this difficulty and ensure highly accurate failure diagnosis, in this paper, a new method called "sequential self-reorganization of symptom parameters" is proposed by using genetic algorithms (GA). Also the identification method of membership functions of symptom parameters is discussed by using the possibility theory. The efficiency of these methods is verified by applying them to a ball bearing diagnosis system. The new methods proposed here can also be applied to other pattern recognition problems.
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