GUI_matlab

魏英凤书上功率谱分析的matlab程序，很好很强大，已经验证过(Wei Yingfeng book on power spectrum analysis matlab program, very very strong, has been verified)

viterbi算法，通过matlab工具实现，适合初学者学习(viterbi algorithm by Matlab tool for beginners to learn)

描述几种常见的变步长算法，步长因子与误差之间关系的曲线。(This paper describes several common variable step size algorithms, the curves of the relationship between the step factor and the error.)

matlab高级讲义，里面涵盖了MATLAB的几乎所有需要用到的模块。(matlab senior notes, which covers almost all MATLAB needed module.)

adaboost training for weak classifier.Simple example for classifier and training is done

贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型，以及实现统计推理。这里是最新的1.0.4版(Bayesian networks to achieve matlab. Bayesian networks can be created, the training model, and the achievement of statistical inference. Here is the latest version 1.0.4)

Aloha implementation in matlab

沿直线最小化优化学习率的梯度下降法matlab版本的一个实例源代码，带轨迹收敛图。(a source code of steepest descent with learning rate to minimize along the line by matlab)

超好用的Mallat Algorithm碼源,附gui的介面,有註解可對照,試試呗(Chao Haoyong The Mallat Algorithm source code, with a gui interface, there are notes can be controlled, try chanting)

第一章 概述 辨识（Identification）、状态估计和控制理论在现代控制理论中是密不可分的，它们互相渗透。辨识和状态估计离不开控制理论的支持，控制理论的应用几乎不能没有辨识和估计技术。由此可见，辨识在科研与实际应用领域都有很高的实用价值。 所谓辨识，就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似，而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。 辨识的目的是根据过程所提供测量的数据等信息，在某种准则意义下，估计出模型的未知参数，其基本原理如图1.1所示： (Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)