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语音水印算法的matlab 编程实现，毕业设计，基于小波，到谱分析(Audio Watermarking Techniques implemented by the MATLAB PROGRAMMING)

该实例主要是对离散时间系统建模与仿真。例子是以设计一个数字低通滤波器F（z），从受噪声干扰的多频率混合信号x（t）中获取10hz的信号。希望对研究电磁兼容以及学习MATLAB的学者有所帮助。(The examples are mainly discrete-time systems modeling and simulation. Example is the design of a digital low-pass filter F (z), acquiring a signal 10hz noise interference multi-frequency mixed signal x (t) in. I hope to study electromagnetic compatibility and scholars studying the MATLAB help.)

malab用于基因芯片数据的聚类研究和基因功能的研究(malab for microarray data clustering research and the study of gene function)

wilson—ct法计算多自由度粘滞阻尼系统受地震激励的时程响应的源代码！(The wilson-ct method multiple degrees of freedom viscous damping system response by the time of the earthquake excitation source code!)

在matlab编程环境下来求最优控制问题中的非线性方程问题(to solve the unline funcation in matlab about the optimal control)

An LMS-Based Adaptive Generalized Sidelobe Canceller with Decision Feedback

说明：  matlab遗传算法的程序，希望能够对大家有用处！(Matlab GA procedures, we hope to be able to be useful!)

数字锁相环数学模型,对有研究信号调制的数学建模.(Digital phase-locked loop mathematical model of research has the mathematical modeling of signal modulation.)

排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。 遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。(Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem. Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co)

最小费用最大流问题是经济学和管理学中的一类典型问题。在一个网络中每段路径都有“容量”和“费用”两个限制的条件下，此类问题的研究试图寻找出：流量从A到B，如何选择路径、分配经过路径的流量，可以达到所用的费用最小的要求。(Minimum cost maximum flow problem is economics and management in a class of typical problems. Each path in a network has the " capacity" and " costs" two limiting conditions, such problems of trying to find out: Flow from A to B, how to choose the path, the path of the flow through the distribution can be achieved The use of the minimum cost requirements.)