SpectrumAndPhase

说明：  GPS基本原理及其matlab仿真书本，给出了matlab详细代码(Basic Principles of GPS and Its Matlab Simulation Books)

说明：  一个减肥的网站，比较适合嵌入谷歌的adsence广告，自己看看吧，送给需要的人。(A weight loss website, more suitable for embedding Google' s adsence ads themselves to see it, given to those in need.)

中科大fortran讲义，内容很不错！！！！(USTC to fortran handouts, the content is very good! ! ! !)

DLL simulink model. From file exchange of mathwork website!

基于果蝇的算法优化支持向量回归的matlab程序，包括txt版本和matlab中m文件(Matlab algorithm based on fruit fly algorithm optimized support vector regression, including the txt version and Matlab m file)

阵列信号处理的理论与应用书籍代码：MATLAB程序 1：MUSIC 算法MATLAB程序 2：ESPRIT 算法MATLAB程序 3：Root-MUSIC算法MATLAB程序 4：面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序 5：空间平滑MUSIC算法的MATLAB程序 6：角度和时延联合估计（JADE）算法MATLAB程序 7：传播算子DOA估计算法MATLAB程序 8：基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序(Theory and Application of Array Signal Processing Book Code: MATLAB Program 1: MUSIC algorithm MATLAB program 2: ESPRIT algorithm MATLAB program 3: Root-MUSIC algorithm MATLAB program 4: Two-dimensional Angle Estimation Unitary-ESPRIT Algorithm MATLAB Program 5: space smoothing MUSIC algorithm MATLAB program 6: angle and delay joint estimation (JADE) algorithm MATLAB program 7: Propagation operator DOA estimation algorithm MATLAB program 8: Two- Dimensional DOA Estimation of MATLAB for L- Type Array Based on Augmented Matrix Bundles)

说明：  基于光流特征的监控视频异常行为检测 使用CNN，RNN在UCSD数据库中实现 使用Keras，python3.6(Abnormal Behavior Detection of Monitoring Video Based on Optical Flow Characteristics)

说明：  数据结构与算法-学生成绩管理系统(以顺序表来实现)(Data Structure and Algorithms - Student Performance Management System (implemented in a sequential table))

DSP2812片内AD校准代码，可以轻松将片内ADC精度校准到3％以内(DSP2812 chip AD calibration code, can easily chip ADC precision calibration to within 3%)

说明：  本书采用案例形式，以智能算法为主线，讲解了遗传算法.免疫算法,退火算法.粒子群算法，鱼群算法,蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现，本书共给出30个案例,每个案例都是一个使用智能算法解决问题的具体实例,所有案例均由理论讲解、案例背景.MATLAB程序实现和扩展阅读四个部分组成,并配有完整的程序源码。(This book uses case form and takes intelligent algorithm as the main line to explain the matlab implementation of the most commonly used intelligent algorithms, such as genetic algorithm, immune algorithm, annealing algorithm, particle swarm optimization algorithm, fish swarm algorithm, ant colony algorithm and neural network algorithm. There are 30 cases in this book, and each case is a specific example of using intelligent algorithm to solve problems, All cases are composed of theoretical explanation, case background, matlab program implementation and extended reading, and complete program source code.)