Examples

信号处理工具箱matlabGUI界面，可以对常见信号进行处理(signal dipose)

对称三角线性调频连续波信号模糊函数分析Symmetrical triangular linear frequency modulation continuous wave signal ambiguity function analysis(Symmetrical triangular linear frequency modulation continuous wave signal ambiguity function analysis)

matlab有关的常见的图像显示，图像信息读取，图像加噪，图形去噪，图像增强等一系列基本matlab实验代码及原理(matlab on the common image display, image information read, the image plus noise, graphics denoising, image enhancement and a series of basic principles of experimental code matlab)

每一对顶点之间的最短路径经典算法之—弗洛伊德算法(Each of the classical algorithm of the shortest path between vertices- Freud algorithm)

对一电力网络实现顺流跟踪，计算分流比例因子，深度优先搜索供电路径，计算发电机在负荷中的分配比例等。(Downstream of a power network tracking, triage scale factor calculation, depth-first search powered path, calculating the distribution of generators in the load ratio.)

说明：  数值分析中的一元二次线性方程的求解，主要是用DELPHI语言进行编程(Numerical analysis of a linear quadratic equation, is mainly used for programming language DELPHI)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

说明：  姿态定位完整的matlab算法，具体有讲解版，文章版权已经申请，可以传播但是请勿发表文章，违者必究(Posture positioning complete matlab algorithm, on the specific version, the article has applied for copyright, can spread but not published an article rights reserved)

this is improved prony method that is very strengs for noisy signal

姿态角仿真 MATLAB 捷联惯导 三阶泰勒 四阶龙格库塔(MATLAB simulation Attitude SINS fourth order Runge-Kutta third-order Taylor)