文中研究了6种常用数字调制信号识别的特征参数集，并采用决策树判别方法进行分类识别。仿真结果表明，在SNR≥5dB时，识别正确率在99 以上，且当SNR≥20dB时，识别正确率达到100 。其特点是，算法简单，识别正确率高，达到了自动分类识别的目的，并有利于实现识别的实时化。-In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulatio

数字调制方式自动识别 源代码 基于决策树理论实现数字调制方式自动识别的算法 -Automatic recognition of digital modulation theory of decision tree based on the source code to achieve automatic digital modulation recognition algorithm

这个是我自己整理的关于语音识别HMM模型训练部分的决策树相关学习总结-Decision tree learning summary of HMM model training for speech recognition

Wireless sensor networks with mobile sink are ex-pected to increase the flexibility for gathering information in large-scale sensing and detecting environments. Energy saving becomes one of the most important features of the sensor nodes to extend th