LDPC_matlab

从键盘输入一段字符，统计输入的字符串中个字母出现的次数-A section of characters from the keyboard input, statistical input string appears in the number of letters

another type of ppt format

说明：  进行误差预测我觉得很好的，欢迎大家下载 ，对大家都很有用(I think it's good to make the error prediction, and it's very useful for everybody to download)

PYTHON入门游戏学习源码 贪吃蛇、大富翁、小人躲球，通过pygame模块编写，质量高可运行(PYTHON introductory game learning source code snake, billionaire, dodge ball, through the pyGame module, high quality and operational)

说明：  induction motorprotection

某公司OA系统源码： 功能较为强大的一套办公系统，可在线角色管理，用户管理，目录管理，模板管理等。 适合用于企业办公。 使用前先打开企业管理器把DB下的数据库附加好 再配置一下web.config中的链接字符串。 还要把WEB目录设置成为虚拟目录。 默认的管理用户及密码都为：51aspx -OA system, a company source: a more powerful set of features of office systems, online role management, user management, directory management, template management. Suitable for business office. Before use Enterprise Manager to open the attached database DB under some good re-configure the link in the web.config string. WEB directory would also like to become a virtual directory settings. The management of the default user and password are: 51aspx

说明：  迭代收缩/阈值（IST）算法是近年来提出的一类凸无约束优化问题和其它线性逆问题的一种新方法。这类问题是将线性观测模型与非二次正则化器（例如，全变差或基于小波的正则化）相结合的结果。这些算法的收敛速度很大程度上取决于线性观测算子的条件，当该算子病态时收敛速度变慢。(Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle a class of convex unconstrained optimization problems arising in image restoration and other linear inverse problems. This class of problems results from combining a linear observation model with a non-quadratic regularizer (e.g., total variation, or wavelet-based regularization). It happens that the convergence rate of these IST algorithms depends heavily on the condition of the linear observation operator, becoming very slow when this operator is ill-conditioned.)

c写的经典贪吃蛇游戏，dos下运行的经典。-c write the classic Snake game, dos run under classic.

说明：  复杂环境中的微弱目标（如隐身飞机、被地/海/城市杂波淹没的目标等）探测 问题是现代雷达面临的严峻挑战。 与传统的先检测后跟踪（ DBT） 技术相比， 检 测前跟踪（TBD）技术是一种新兴的先进信号处理技术，它通过多帧回波数据积 累和联合处理，可以显著提高雷达的微弱目标检测跟踪性能， 是国际雷达界研究 的前沿热点。 TBD 作为一项正在发展中的新技术，还需要解决一些新的技术问题， 例如， 多目标跟踪维数灾难、临近目标相互干扰等，以及处理难度增加和运算量 增大带来的新问题。(The detection and tracking of low observable targets (e.g. stealth targets, targets buried in strong clutter) in complex environment are great challenges for modern radar systems. Different from the traditional detect-before-track (DBT) methods, Track-before-detect (TBD) is a novel and efficient signal processing method which is proposed in recent years to detect low observable targets, and has got much attention internationally in radar research area. By jointly processing several data frames, TBD is able to produce more reliable detection and tracking results. As a developing new technique, TBD has its own problems and challenges. For example, existing studies on)

说明：  仿真雷达各种测角方法，包括最大似然估计、单脉冲法(monopusle estimation )