PID

本程序研究了在不同符号序列条件下，基本Gardner算法和一种修正Gardner算法的定时误差特性(This program studied the sequence of symbols in different conditions, the basic Gardner algorithm and a modified Gardner timing error characteristics of the algorithm)

标记分水岭分割算法，如果图像中的目标物体是连接在一起的，采用这种方法能较好的解决问题(Marked a watershed segmentation algorithm, if the image of the object are connected together, using this method can better solve the problem)

LIBSVM做回归预测 怎么用libsvm来做预测(The LIBSVM doing regression forecast predict how libsvm do)

基于GUI的均衡器设计，想做均衡器的同学可以借鉴一下哈~~(GUI-based equalizer design)

该算法主要针对稀疏矩阵的表示，适合初学者进行学习应用(The algorithm for sparse matrix suitable for beginners to learn the application)

Matlab based CNN Tutorials of LANET 5 based algorithm for handwritten corrector identification

说明：  使用卡尔曼滤波方法对非线性系统进行参数辨识。(Kalman filter is used to identify the parameters of nonlinear system.)

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)

The purpose of this book is to introduce the essentials of the MATLAB® software environment and to show how to start using it well.(The purpose of this book is to introduce the essentials of the MATLAB software environment and to show how to start using it well.)

he modeling equation of this system is MD2X+bDX+kX = F The transfer function between the displacement X(s) and the input F(s) then becomes X(s) / F(s) = 1 / (Ms2 + bs +k)