Matlab

延迟加载的，转发别人的，感觉不错，适合初学者使用的，可以了解下一部加载(Asynchronize of datagrid it fit newer)

是《MATLAB数字信号处理与应用》一书的源代码,该书由李正周编著 清华大学出版社出版 2008年5月 本书主要介绍基于MATLAB R2006a的信号分析与处理的原理和应用。全书共分为7章：第1章对MATLAB R2006a的特点与MATALB的基本使用进行了介绍，第2章～第7章分别讲述了MATLAB中信号处理工具、MATLAB离散时间系统与Z变换、数字滤波器及其设计、平稳随机信号分析、非平稳信号分析与处理以及自适应信号分析与处理，并且每一章节都较详细地分析了包括雷达信号、图像信号和语音信号等信号处理综合应用实例。 本书可作为高等学校数字信号处理等课程的教材或参考书，对于从事信号处理及相关领域的工程技术人员也具有重要的参考价值。(err)

介绍matlab的各种作图命令，及一些相关的典型的作图实例，对初学者有很大的帮助(Introduced a variety of mapping matlab command, and some examples related to the typical plot, a great help for beginners)

维纳滤波器和一般滤波器的设计以及信号通过滤波之后的比较(Wiener filter and the general filter design and the comparison signal after filtering)

用来读取国家气候中心下载的160个站点的降水和温度资料的代码(National Climate Center to download to read the 160 sites of precipitation and temperature data of the code)

The system is fully preemptible when this function is called. The kernel does no processing, but it passes all parameters directly to the function supplied by you. （当这个函数被调用的时候系统完全可能被抢占，内核没有处理，直接传递参数到你提供的函数。这个我觉得说的很别扭，估计是直接传递参数到OEMIoControl ）(The system is fully preemptible when this function is called The the kernel does no processing, but it passes are all the parameters directly to the function are supplied by you (When this function is called when the system is entirely possible to seize the kernel did not deal directly pass parameters to the function you provide. I think that is very awkward, and is estimated to pass parameters directly to OEMIoControl))

北斗信号模拟生成，包括CA码生成和北斗信号生成正确性验证(Compass analog signal generation, including the CA code generation and signal generation Beidou correctness verification)

在进行利用蒙地卡罗方法进行期权定价的时候，我们有很多减小方差的方法，下面是其中的两种。(During the use of Monte Carlo methods for option pricing, we have a lot of variance reduction method, the following two.)

facts with multi level inverter simulation with matlab simulink toolbox

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.