lian

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

说明：  图像二值化经典算法最大类间方差法的matlab程序。(Algorithm for image binarization classic Otsu method matlab program.)

matlab的编程PDF资料，详细的解释matlab的算法及很多的方法，编程详细的源码解释(PDF matlab programming information, a detailed explanation of the algorithm and matlab many ways, the programming source to explain in detail)

该系统实现粗糙集合中的分辨矩阵与分辨函数的约简方法，该方法可以求出信息系统的属性约简(the system to achieve the rough set to distinguish function matrix and tell about Jane, The method can be used to find information system attribute reduction)

Benulli映射产生的混沌序列，李雅普诺夫指数和倍周期分叉图(Benulli mapping of chaotic sequence, lyapunov index and period-doubling bifurcation diagrams)

说明：  MATLAB实现kaiser窗函数。~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ (MATLAB kaiser window function to achieve)

engineering statistic

Adaptive noise removal filter for both grayscale and color images

最长公共子序列的 c代码，可以直接运行获得结果。(C code for the longest common subsequence can be run directly.)

full car suspension model (8 degree of freedom) in simulink matlab