pca

说明：  LMS自适应算法的matlab仿真源程序(LMS adaptive algorithm matlab simulation source)

logistic映射分岔图的四种实现方法(logistic map bifurcation diagram of the four implementations)

useful to derive the bode plot simple structural formulae

实现多智能体的编队控制，对程序稍加修改就可以实现多个多智能体的队形控制，包括直线型、三角形等各种队形。(Formation of multi-agent control, can be slightly modified the program to achieve a number of multi-agent formation control, including linear, triangles and other formations.)

《Boost程序库探秘:深度解析C++准标准库》深入探讨了其中的许多重要组件，包括迭代器、函数对象、容器、流处理、序列化以及C++语言中最复杂最具威力的模板元编程。(" Boost library Quest: C++ quasi-depth analysis of the standard library" deeply explored many of the important components, including iterators, function objects, containers, stream processing, sequencing, as well as the most complex language C++ most powerful template meta-programming.)

continues analysis of discrete signal, not integer shifting of a discrete signal

图像复原--数字图像处理--matlab程序(Image Recovery- Digital image processing- matlab program)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

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matlab实用100例子，学习matlab必备，学完你就不是新手了(100 practical examples matlab, matlab essential learning, you are not completing a novice)