daolibai

reproduction for emo

北航研究生课程卡尔曼滤波与组合导航第2题，静基座初始对准(Buaa graduate course kalman filtering and integrated navigation second question, the static base initial alignment )

unit root test!!!!!!!!!!!!!!!!!!!!!including kinds of toolbox

顺序函数法求解一维非稳态导热反问题的源代码(Sequential function method for solving one-dimensional unsteady heat conduction inverse problem of the source code)

KDD99的属性约简，国外高人写的代码。(KDD99 of attribute reduction, foreign Gaoren to write code.)

说明：  滑模状态观测器，通过支持向量机的方法来辨识滑模状态观测器的参数(Sliding mode observer, through the support vector machine method to identify the parameters of sliding mode observer)

软件接收机的实现，属于学术论文,有助于研究参考(sofewear for gps aquisition)

dsp application with ti c6xx

IEEE39节点动态系统参数，其中各节点的数据准确性都经过校验检查。(IEEE39 node dynamic system parameters, data accuracy check each node have been checked.)

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.)