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《基于MATLAB7.0统计信息处理》，对统计信息基本理论做了讲解，并结合实例讲解了统计信息库基本函数的使用。(" Based on MATLAB7.0 statistical information processing" , the basic theory of statistical information made to explain, and explain with examples the basic function of the statistical information base to use.)

说明：  电场积分方程与磁场积分方程的结合，用矩量法求解，应用matlab开发环境(Electric field integral equation combined with the magnetic field integral equation, using moment method, application development environment matlab)

模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵， Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)

线性喷泉码的一种——LT码，程序完整，可以在MATLAB环境中直接运行。(A kind of linear fountain code- LT codes, procedures complete, can be run directly in the MATLAB environment.)

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

bpsk编码很适合出学者,已经经过调试 加了个 升余弦滤波(BPSK encoding is very suitable for the academics, have been debug plus a raised cosine filter)

说明：  八向链码程序，比较有用，在MATLAB环境下使用(Eight to chain code process, more useful, in the MATLAB environment)

说明：  基于BP网络的字母识别MATLAB源程序，可以对给定的字母进行识别。(BP network based on letter recognition MATLAB source, you can identify a given letter.)

数字信号处理的matlab实现 2012版 该书为第二版本，具有更多的范例。(Matlab digital signal processing to achieve the 2012 edition of the book is the second edition, with more examples.)

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