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navstar
- GPS satellite signal acquisition and tracking
svm_java
- 支持向量机SVM(Support Vector Machine）作为一种可训练的机器学习方法，依靠小样本学习后的模型参数进行导航星提取，可以得到分布均匀且恒星数量大为减少的导航星表-Support Vector Machine SVM (Support Vector Machine) as a trainable machine learning methods, relying on small samples after learn
AlgorithmSVM
- SVM的c语言实现，支持向量机SVM(Support Vector Machine）作为一种可训练的机器学习方法，依靠小样本学习后的模型参数进行导航星提取，可以得到分布均匀且恒星数量大为减少的导航星表. -SVM-c language, support vector machine SVM (Support Vector Machine) as a trainable machine learning methods, relyin
SVM_GUI_3.1[mcode]{by-faruto}
- 支持向量机SVM(Support Vector Machine）作为一种可训练的机器学习方法，依靠小样本学习后的模型参数进行导航星提取，可以得到分布均匀且恒星数量大为减少的导航星表。 基本情况 Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起，然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去，这种分类器被称为支持向量机（Support Vector Machine，简称
SMShrestha
- The NAVSTAR GPS (NAVigation Satelllite Timing And Ranging Global Positioning System) is an all-weather, space-based navigation system developed by the U.S. Department of Defense to determine ones position, velocity,
A STUDY OF THE APPLICATION OF
- This paper documents the results of a preliminary study of the application of differential techniques to the NAVSTAR Global Positioning System for the O.vilian helicopter environment