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FIR2滤波函数在舰船辐射噪声工程中的具体应用(the fir2 s practice )

说明：  布朗运动的模拟程序，能画出n个点的布朗运动的轨迹(Brownian motion simulation program that can draw n points in the trajectory of the Brownian motion)

根据前辈教的方法编写的呼吸信号的分析程序，希望能够给大家提供参考(According to the written respiratory signal analysis program the predecessors to teach the method, want to be able to provide a reference for everyone)

matlab - image processing - median filter(matlab- image processing- median filter)

exercise1:为基于小波变化与局部能量的图像融合方法 exercise2:为基于自适应算法的图像融合算法 myfunction1~myfunction5:为性能指标评价函数(exercise1: To change and local energy based on wavelet image fusion method exercise2: adaptive algorithm based image fusion algorithm myfunction1 ~ myfunction5: performance indicators for the evaluation function)

对一幅被随机值冲击噪声污染的图像，用偏微分方法进行恢复，使用的模型是Total Varience(image restoration using TV model, remove random noise)

用MATLAB语言仿真实现CDMA系统中开环下发射分集的系统性能仿真(using MATLAB Simulation CDMA system under open-loop transmit diversity of system performance simulation)

线性预测编码的实现 对于初学者来说还是比较好用的

高级变换的fft，dft代码实现，包括结果的绘图(fft and dft realization)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)