MATLAB-7.0

线性规划及非线性规划的经典matlab代码，文件中还有PPT文件作为参考学习。(Linear programming and nonlinear programming of the classical code, the document have PPT file as a reference study.)

数值分析要求：第二题编成命令文件即可，其中阶乘可以单独编成函数文件在命令文件中调用，也可以直接在你所编的命令文件中利用循环语句直接计算； 第四题编成通用的程序，建议编成函数文件。提示：可以把多项式的系数和所需要求解的点设为参数。(Numerical Analysis of requirements: the second title of the command file can be compiled, which can factorial function into a separate file in order to call the document can also be made directly in your document, use the command loop direct calculation into fourth title common procedures, the proposed document into function. Tip: polynomial coefficients can be requested and the required parameters set point solution.)

说明：  用matlab实现的区域生长算法,易懂，对于初学者很有参考价值(the regiongrowing algorithm using MATLAB)

关于欧洲标准的cost207的信道模型，以matlab函数形式给出。(on European standards cost207 the channel model, presented in the form of Matlab function.)

EKF_UKF_PF三种算法的比较，仿真结果很明显。(EKF_UKF_PF comparison of three algorithms, simulation results are obvious.)

说明：   当前对机动目标跟踪的算法研究主要集中在交互式多模型((IMM)算法，它己被证明是目前混合系统估计算法中性价比最好的算法。(Maneuvering target tracking algorithm research focuses on the interacting multiple model ((IMM) algorithm, which has proved to be the best cost-effective algorithm in the current hybrid system estimation algorithm.)

introductory look at what type of vibrations we might be dealing with when attempting to harvest ambient kinetic energy. The simplest type of vibration that could possibly occur, would be with a harmonic one, with a single frequency component at a constant frequency that does not change significantly in time.

algorithm for moment invariants.

恒虚警算法 一个干扰环境OS、GOSGO、MOSCA的发现概率随SNR变化曲线(CFAR algorithm is an interference environment OS, the probability of finding GOSGO, MOSCA the curve with SNR)

基于Marginalized粒子滤波的卫星姿态估计算法。介绍了一种基于粒子滤波的全新的卫星姿态确定的算法，非常有借鉴意义(Marginalized particle filter based on the satellite attitude estimation algorithm. This paper presents a particle filter based on new satellite attitude determination algorithms, very referential significance)