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Advances.of.Research.in.Independent.Component.Anal
- :介绍了独立成分分析(ICA)的基本模型及其假设、含混性、非高斯性度量和通用求解过程。讨论了目前ICA 的几个研究方向的发展现状和面临的问题,分析了ICA 基本模型和几种扩展模型的求解算法,包括盲反卷积、卷积混和的盲分离、非线性瞬时混合的盲分离。提出了ICA 未来理论和应用研究中的开放课题。
Pattern-Classification
- 此文档包含对卷积神经网络的描述及在图像处理中的应用,对学习卷积神经网络有重要帮助。-The work presented here uses image classifi cation performance (accurate discrimination between common classes of objects) as a basis for comparing visual system models, and algorithms for fi
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- 该文章用反卷积算法计算GSM和UMTS基站的电磁场辐射量,此方法可以消除噪声的影响,使得测量结果更精确。-In this paper, we present a new robust, fast, and accu- rate deconvolution algorithm for correcting noise disturbed mea- surements and eliminating the influence of the resolution filter of a
trajectory-generation
- 基于卷积的加减速运动规划,涉及运动控制领域。-Based on convolution deceleration motion planning, involving the field of motion control.