bp-neural

FastICA25－－快速独立分量分解算法(FastICA25 - fast independent component decomposition)

proE文件导入matlab之四(共五)-run_stl_read(import proe to matlab)

GLVQ neural network, this method is suitable for the two classification results of data processing

有关MIMO方面的各种仿真源代码，值得一看。特推荐(MIMO simulation on various aspects of the source code, worth a visit. Special Recommendation)

simulink环境下的永磁同步电机的磁场定向控制，采用id=0的控制策略(simulink environment of permanent magnet synchronous motor field oriented control, using id = 0 control strategy)

小波变换中的同步挤压小波程序。支持GUI界面交互，也可独立运行，易改造，易结合。(The synchronous extrusion wavelet program in the wavelet transform. Support GUI interface interaction, also can run independently, easy to transform, easy to combine.)

prony信号处理识别低频振荡模式提取特征根阻尼比(Prony signal processing to identify low-frequency oscillation modes extracted eigenvalue damping ratio)

波束形成技术，波束形成算法，这个是delay and sum(DAS)波束形成算法(delay and sum)

this code is mainly used in filter design.

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)