HW1_temp2

matlab设计的FIR滤波器！包括矩形窗、Blackman窗、Hamming窗、Kaiser窗（带通）(Matlab design FIR filter! Including rectangular window, Blackman window, Hamming window, Kaiser window （Bandpass filter）)

steganography means we have to hide the information in the image for using encryption and decryption algorithm also.

matlab产生海洋随机粗糙面的函数 输入参数为 长度 点数 Ku Kl 风速(MATLAB has the function of random rough sea The input parameters for the length points Ku Kl wind speed)

cyclic redudndancy check program in mat lab

很详细，具体的说明了matlab软件的入门和基础，希望对大家有帮助(Very detailed and specific description of the entry and basic matlab software, we hope to help)

matlab code iris data

雷达杂波的matlab仿真程序。包含各种概率和分布(Matlab radar clutter simulation program. Includes a variety of probability and distribution)

《matlab图像处理超级学习手册》涉及面广，涵盖了一般用户需要使用的各种功能，详细介绍了matlab在图像处理方面的使用。全书共分为14章，主要包括matlab基础知识、matlab基本运算及程序设计、图形绘制、图像处理基储图像的运算、图像的变换、图像的增强、图像压缩编码技术、图像的复原、图像分割技术、数学形态学的应用、matlab图像处理在实际中的应用、matlab图形用户界面及gui在图像处理中的应用等。(" Matlab image processing super-Learning Handbook" covers a wide variety of functions covering general users need to use, detailing the use matlab image processing. The book is divided into 14 chapters, including the basics of matlab, matlab basic operations and program design, graphics rendering, image processing, image-based reservoir operation, image conversion, image enhancement, image compression encoding technology, image restoration, image segmentation technology, the application of mathematical morphology, matlab image processing in practical application, matlab gui graphical user interface and applications in image processing and the like.)

电磁场时域有限差分算法，三维Mur一阶吸收边界条件(FDTD 3D Mur)

(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)