69491740NthrIn2

程序包含 EKF UKF PF EPF UPF 的性能比较，里面是比较简单的调用，并对其性能做了简要的对比。(The program contains the performance comparison of EKF UKF PF EPF UPF, which is a relatively simple call, and makes a brief comparison of its performance.)

《UG/Open二次开发与实例精解》的源代码。(The source code of "UG/Open Secondary Development and Example Resolution".)

说明：  基于枝切法进行相位展开，包含残差计算，设置枝切以及洪水填充法解包(The Branch-Cut algorithm for phase unwrpping)

这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。 这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。 MATLAB和IDL代码伴随这些方法和应用程序重现。 实验并说明了在相关网站上可下载的研究的推理和方法。(This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing, showing that previous limits to information sampling and extraction can be overcome in very significant ways.)

说明：  基于均匀化方法的微结构拓扑优化matlab代码(Microstructure Topology Optimization Matlab Code Based on Homogenization Method)

说明：  对斐波那契数列取余，输入长度，输出取余结果。(Redundancy of Fibonacci Sequences)

《Python编程》源代码文件，是这本python入门基础书的源代码(Python Programming Source Code File)

说明：  《现代雷达系统分析与设计》一书中，每章节后面所附源程序，可能略有出入，有一些额外的其他地方的程序.书中的程序可能也有不完整地方(modern radar system analysis and design)

移动机器人的滑模轨迹跟踪控制，利用MATLAB进行仿真(Sliding mode tracking control of mobile robot.)

说明：  先进PID控制及其MATLAB仿真 一书源程序 北京航空航天大学 刘金琨(advanced PID control and simulation of MATLAB source book a space aviation Beijing University, Hangzhou)