dct_lms1

用MATLAB设计一个低通和带通滤波器,传统的数字滤波器的设计过程复杂，计算工作量大，滤波特性调整困难，影响了它的应用。本文介绍了一种利用MATLAB信号处理工具箱（Signal Processing Toolbox）快速有效的设计由软件组成的常规数字滤波器的设计方法。给出了使用MATLAB语言进行程序设计和利用信号处理工具箱的FDATool工具进行界面设计的详细步骤。(design a digital filter use matlab)

说明：  this module gives a basic image compression example

这是一个关于Fisher线性判别分析的Matlab的m文件，给出了在高斯核下的程序源码。(This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.)

说明：  matlab的SVM工具包安装说明，并给出具体事例(The SVM matlab toolkit installation instructions, and give specific examples)

MATLAB中证图像缩放、旋转等对Hu矩和Zernike矩的影响(MATLAB in the card image scaling, and rotation of the Hu moments and Zernike moments of)

基于matlab的寿命预测，这是其中几个小程序(life expectance based on matlab)

认知无线电中认知用户退避策略建模 ,指数退避策略(Cognitive radio users in cognitive avoidance strategy modeling, cognitive radio users in cognitive modeling strategy retreat, exponential backoff strategy)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

基于MATLAB和电子表格共同的有限元程序。电子表格进行前处理，MATLAB读入进行计算及后处理。(Based on MATLAB and Spreadsheets a common finite element program. Before dealing with spreadsheets, MATLAB reads the calculation and post-processing.)

最经典的算法，LBG算法，其计算量大，可在进一步改进得到更好的效果(The most classical algorithm, LBG algorithm, the calculation volume can be further improved to get better results)