搜索资源列表
AMC
- A Survey of Automatic Modulation Classification Techniques: Classical Approaches and New Trends.This is also a very good papaer like that of azzouz and nandi
jcsb
- 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
Zero-Crossing
- Implementation on "Automatic modulation classification using zero crossing"
distributed-cyclic
- 制式识别方面一篇很好的文章，采用了分布式融合的算法。-This is a good paper of the automatic modulation classification use distributed fusion.
Performance-Optimization
- 不同信号和不同信道影响下的自动调制分类的文章。-performance optimization of automatic modulation classification for different signal and channel types
SCFScatter
- 利用FFT求一个信号的谱相关函数，在论文Automatic Modulation Classification for Cognitive Radios Using Cyclic中有提到-Seeking a signal using FFT spectral correlation function, the paper Automatic Modulation Classification for Cognitive Radios Using Cyclic mentioned in
Automatic-Modulation-Classification-Principles-Al
- Automatic modulation classification detects the modulation type of received signals to guarantee that the signals can be correctly demodulated and that the transmitted message can be accurately recovered. It has found significant roles in militar