├── LMS_TEST.m ├── LMS_TRAIN.m ├── LMS_with_AdaGrad_TRAIN.m ├── LMS_with_RMSProp_TRAIN.m ├── LMS_with_adam_TRAIN.m ├── Readme.md ├── image ├── 期望&噪声&滤波信号.fig ├── 期望&噪声&滤波信号.jpg ├── 测试ERR.fig ├── 测试ERR.jpg ├── 训练ERR.fig └── 训练ERR.jpg └── main.m /LMS_TEST.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/LMS_TEST.m -------------------------------------------------------------------------------- /LMS_TRAIN.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/LMS_TRAIN.m -------------------------------------------------------------------------------- /LMS_with_AdaGrad_TRAIN.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/LMS_with_AdaGrad_TRAIN.m -------------------------------------------------------------------------------- /LMS_with_RMSProp_TRAIN.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/LMS_with_RMSProp_TRAIN.m -------------------------------------------------------------------------------- /LMS_with_adam_TRAIN.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/LMS_with_adam_TRAIN.m -------------------------------------------------------------------------------- /Readme.md: -------------------------------------------------------------------------------- 1 | MATLAB实现 2 | 实现传统的LMS算法，并使用AdaGrad、RMSProp、Adam这三种自适应学习率优化算法对LMS算法进行优化。 -------------------------------------------------------------------------------- /image/期望&噪声&滤波信号.fig: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/image/期望&噪声&滤波信号.fig -------------------------------------------------------------------------------- /image/期望&噪声&滤波信号.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/image/期望&噪声&滤波信号.jpg -------------------------------------------------------------------------------- /image/测试ERR.fig: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/image/测试ERR.fig -------------------------------------------------------------------------------- /image/测试ERR.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/image/测试ERR.jpg -------------------------------------------------------------------------------- /image/训练ERR.fig: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/image/训练ERR.fig -------------------------------------------------------------------------------- /image/训练ERR.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/image/训练ERR.jpg -------------------------------------------------------------------------------- /main.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eeccxin/LMS_with_optimizer/c3619ba40e50f654d41bfc07513331ed52ef384c/main.m --------------------------------------------------------------------------------