水印与Gabor

说明：  实现扩频通信，包括了PN码同步，扩频调制解扩(Realize spread spectrum communication, including the PN code synchronization, spread spectrum modulation solution extender )

Reads a ply file (text format). ply files can be in binary format as well this function can read ply files in txt format only e.g. created by makePly.m.

用经典龙格-库塔法和变步长的龙格-库塔法求解微分方程(Classical Runge- Kutta method and the variable step Runge- Kutta method for solving differential equations)

Examples of the material for the disc, including two folders: Schematic + flowchart , source code. Where: ch03 the corresponding file in Chapter 3, ch04 the corresponding file in Chapter 4, and so on.(Examples of the material for the disc, including two folders: Schematic+ flowchart , source code. Where: ch03 the corresponding file in Chapter 3, ch04 the corresponding file in Chapter 4, and so on.)

逆合成孔径雷达，距离多普勒算法下的多点目标欺骗干扰，Matlab语言仿真(Range_Dopplor algorithm of deception jamming about Inverse Synthetic Aperture Radar )

说明：  经验模态分解的优化，达到更好的去燥效果。(The optimization of empirical mode decomposition can achieve better drying effect.)

说明：  迫零均衡方法及结果，有图有说明，适合初学者使用。(Zero forcing equalization methods and results, there are pictures and instructions for beginners.)

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利用matlab编写的扩频通信中涉及到的kasami小集序列，并验证其性质(Spread Spectrum Communication kasami sequence)

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)