Optimization-Toolbox

通过卡尔曼滤波并采用开环控制方式实现惯性导航和GPS的数据融合(Through the Kalman filter and use the open-loop control method to achieve inertial navigation and GPS, data fusion)

实现了水下机器人在避障和围捕方面 的研究(Realization of underwater robot in obstacle avoidance and rounded up the research)

可利用该源码程序用Blackman-Tukey法（自相关法）对信号 作功率谱估计。(Can make use of the source program using Blackman-Tukey method (autocorrelation method) on the signal for the power spectrum estimation.)

美国伊利诺伊大学MaYi博士做的广义PCA算法的源代码(Complete rewrite of the test_gpca function to use the generalized data generation function instead.)

说明：  双稳态随机共振与时间同步的相关性研究可以改变随机共振原则改变系统工作环境(is investigated the characteristics of stochastic resonance of the signal added Gaussian white noise in a bithreshold system)

TrustManagerFactory service provider interface implementation.

小波分析 时频工具箱。做小波变换时很有用。大家可以参考。(Time-frequency wavelet analysis toolbox. Useful to do wavelet transform. We can refer to.)

分类对比开发系统，能够通过设置不同的参数对数据进行分类，得到不同分类结果。(Classification contrast development system by setting different parameters can classify the data, get different classification results.)

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)

文件包含多个源程序，包括基本MUSIC算法及MUSIC算法的多种改进算法，对各种算法进行了性能比较(File contains more than one source, including the basic MUSIC method MUSIC algorithm and a variety of improved algorithms for performance comparison of various algorithms)