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Faddeev method made in Belarus

全套的DCT域数字水印源代码（本人毕业设计成果）内容包括：水印嵌入，水印检测，攻击实验以测试鲁棒性，重要参数计算。希望对做数字水印的XDJM有所帮助。(complete DCT digital watermarking source code (I graduated design results) include : watermark embedding, Watermark detection, attack experiment to test the robustness, an important parameter calculation. Want to do digital watermarking Wilson help.)

MATLAB仿真在通信与电子工程中的应用-智能天线仿真MATLAB源程序(MATLAB simulation applications in communications and electronic engineering- smart antenna simulation MATLAB source)

实现spwm谐波消除方法滤波器的设计模型搭建。(To achieve the spwm harmonic elimination filter design and the model structures.)

快速扩展随机生成树算法，LCMV优化设计阵列处理信号，大学数值分析算法，Relief计算分类权重，DC-DC部分采用定功率单环控制。(Rapid expansion of random spanning tree algorithm, LCMV optimization design array signal processing, University of numerical analysis algorithms, Relief computing classification weight, DC-DC power single-part set-loop control.)

说明：  多项式拟和阶跃函数的小程序！对于多项式反演有一定的启发(Polynomial to be a small step function and procedures! Polynomial inversion for some inspiration)

LLE算法是一种非线性数据降维方法，其特点是简单。(LLE algorithm is a kind of nonlinear data dimension reduction method. Its characteristic is simple )

使用MATLAB 代码完成COSTAS环对QPSK调制的解调载波频率的跟踪(Use MATLAB code completion COSTAS loop tracking of QPSK modulation carrier frequency demodulation)

Model Reference Adaptive Control

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)