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Article
A new method for solving MSDE based on wavelet neural networks
In this paper, a new method to solve multiscale difference equation(MSDE) with the M-band wavelet neural networks is proposed. It is shown that the method has many advantages over the existing methods and enlarge...
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Article
Theory of orthonormal M-band wavelet packets
In recent years, M-band orthonormal wavelet bases, due to their good characteristics, have attracted much attention. The ability of 2-band wavelet packets to decompose high frequency channels can be employed to i...
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Chapter
The Classification Mechanism of Adaptive Gauss Neural Networks and Application on Target Classification
In this paper, an adaptive Gauss neural network (AGNN) is proposed and used to extract automatically features from noises radiated from three types of ships after Fourier transform preprocessing. The feature e...
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Article
Asic design of adaptive threshold denoise DWT chip
According to the relationship of wavelet transform and perfect reconstructive FIR filter banks, this paper presents a real-time chip with adaptive Donoho’s non-linear soft-threshold for denoising in different ...
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Article
Linear feature detection based on ridgelet
Linear feature detection is very important in image processing. The detection efficiency will directly affect the performance of pattern recognition and pattern classification. Based on the idea of ridgelet, t...
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Chapter and Conference Paper
Support Vector Machine Multiuser Detector for TD-SCDMA Communication System in Multipath Channels
TD-SCDMA, a part of the third generation mobile communication standards IMT2000 and UMTS is described. A nonlinear multiuser detector based on Support Vector Machine (SVM) is presented and the performance is c...
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Chapter and Conference Paper
A New Data Mining Method Using Organizational Coevolutionary Mechanism
Organizational coevolutionary algorithm for classification (OCEC), is designed with the intrinsic properties of data mining in mind. OCEC makes groups of examples evolved, and then rules are extracted from the...
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Chapter and Conference Paper
Ridgelets Frame
In this paper, a new system called ridgelets frame in L2 (R2) is constructed. To construct the new system, we use other orthonormal wavelet rather than Meyer wavelet, which was used in the construction of orthono...
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Chapter and Conference Paper
A Novel Genetic Algorithm Based on Multi-Agent Systems
A new algorithm, Multi-Agent Genetic Algorithm (MAGA), is proposed for solving global numerical optimization problems. All agents live in a latticelike environment, with each agent fixed on a lattice-point. In...
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Chapter and Conference Paper
Adaptive Dynamic Clone Selection Algorithms
Based on the Antibody Clonal Selection Theory of immunology, a novel artificial immune system algorithm, adaptive dynamic clone select algorithm, is put forward. The new algorithm is intended to integrate the ...
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Chapter and Conference Paper
A New Approach to Unsupervised Image Segmentation Based on Wavelet-Domain Hidden Markov Tree Models
In this paper, a new unsupervised image segmentation scheme is presented, which combines wavelet-domain hidden Markov tree (HMT) model and possibilistic C-means (PCM) clustering algorithm. As an efficient soft...
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Chapter and Conference Paper
Sparse Bayesian Learning Based on an Efficient Subset Selection
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale problems. Experiments on synthe...
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Chapter and Conference Paper
SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal Programming
A method for SAR image recognition algorithm is proposed, which makes use of the global optimal search ability and the quick local search ability of Immune Clonal Programming (ICP) [1] to obtain the prototype ...
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Chapter and Conference Paper
Optimizing the Weights of Neural Networks Based on Antibody Clonal Simulated Annealing Algorithm
Based on the clonal selection theory, a new algorithm, Antibody Clone Simulated Annealing Algorithm, is put forward for optimizing the weights of neural networks. Combining the mechanism of the clonal selectio...
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Chapter and Conference Paper
A New Cluster Validity Function Based on the Modified Partition Fuzzy Degree
The cluster validity is an important topic of cluster analysis, which is often converted into the determination of the optimal cluster number. Most of the available cluster validity functions are limited for t...
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Chapter and Conference Paper
SAR Image Classification Based on Immune Clonal Feature Selection
Texture provides valuable information for synthetic aperture radar (SAR) image classification, especially when the single-band and single-polarized SAR is concerned. Three texture feature extraction methods in...
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Chapter and Conference Paper
Space-Time Multiuser Detection Combined with Adaptive Wavelet Networks over Multipath Channels
The capacity and performance of code division multiple access (CDMA) systems are limited by multiple access interference (MAI) and ”near-far” problem. Space-time multiuer detection combined with adaptive wavel...
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Chapter and Conference Paper
Reconstruction of Order Parameters Based on Immunity Clonal Strategy for Image Classification
A novel reconstruction algorithm of order parameters based on Immunity Clonal Strategy (ICS) is presented in this paper, which combines the self-learning ability of Synergetic Neural Network (SNN) with the glo...
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Chapter and Conference Paper
Adaptive Curved Feature Detection Based on Ridgelet
Feature detection always is an important problem in image processing. Ridgelet performs very well for objects with linear singularities. Based on the idea of ridgelet, this paper presents an adaptive algorithm...
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Chapter and Conference Paper
Performance Analysis of Recurrent Neural Networks Based Blind Adaptive Multiuser Detection in Asynchronous DS-CDMA Systems
With dynamics property and highly parallel mechanism, recurrent neural networks (RNN) can effectively implement blind adaptive multiuser detection at the circuit time constant level. In this paper, the RNN bas...
