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a novel method for solving Canonical Cor-
relation Analysis (CCA) in a sparse convex framework using a least
squares approach. The presented method focuses on the scenario when
one is interested in (or limited to) a primal representation for th
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Including single sideband, double sideband, suppressed carrier and quadruple, The commonly used digital signal modulation based on artificial neural network, Achieve canonical correlation analysis.
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Achieve canonical correlation analysis, Several new methods sar image denoising, Two-way PCS control simulation.
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Convolution operation is intended to signal and image rendering, Multirate signal processing, Achieve canonical correlation analysis.
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Achieve canonical correlation analysis, Including single sideband, double sideband, suppressed carrier and quadruple, Thermonuclear using weighting factor.
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Using matlab written narrowband noise occurs, Pattern Recognition bayes discriminant analysis algorithm, Achieve canonical correlation analysis.
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Achieve canonical correlation analysis, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Realization of 10 digital audio recognition progra.
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Prediction Error Method for Parameter Identification - the idea of relaxation, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Achieve canonical correlation analysis.
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Achieve canonical correlation analysis, Channelized receiver based on multi-phase structure, Do Vision Measurement PC code.
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Achieve canonical correlation analysis, The IMC - PID is using the internal model control principle for PID parameters is calculated, Various kalman filter design.
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求两个向量最大相关性,相关系数，主要是用于处理多维向量的情况(canonical correlation analysis)
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Pyrcca，典型相关分析python实现，可使用正则化和核函数(Regularized kernel canonical correlation analysis in Python)
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深度典型相关分析的python实现，DCCA是Galen Andrew于2013年发表于ICML上的一篇文章，提出了将深度网络与CCA结合的新方法。(Deep canonical correlation analysis)
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典型相关分析，分析两段数据之间的相似性，用于脑电ssvep信号分析(Canonical correlation analysis is used to analyze the similarity between two segments of data.)
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典型关联分析(Canonical Correlation Analysis，以下简称CCA)是最常用的挖掘数据关联关系的算法之一。(Canonical Association Analysis (CCA) is one of the most commonly used algorithms for mining data association.)
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基于典型相关分析的故障检测的matlab程序(Matlab program for fault detection based on canonical correlation analysis)
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cca典型相关分析的多变量版本mcca，典型的一种盲源分离算法(Multivariate version of canonical correlation analysis)
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Deep Canonical Correlation Analysis
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