final-matlab

遗传算法优化多峰函数，最优值约在38.8左右，亲测可用(Multimodal function optimization genetic algorithm, the optimal value of about 38.8 or so, pro-test available)

lsl算法的详细解释及介绍，请朋友们指导(lsl Algorithm)

里面包含五个有关matlab的学习的资料，特别适合初学者使用。(a very good learning material of matlab learning.)

g(x)=f(m,n,L), 其中,m,n,L均服从正态分布,分布情况也在所给的图中. 使用matlab,用蒙特卡罗模拟法 对该函数进行模拟,得出g(x)大于0的概率.(G (x) =f (m, N, L), of which, m, N, L are the normal distribution, distribution is also in the picture. The use of MATLAB, simulates the function by Monte Carlo method, the G (x) greater than 0 probability.)

从数字电路角度，分析PI(比例和积分）环路滤波电路所组成的闭环控制环路的传输函数以及误差传输函数的形状，从中可以看书环路的peaking，3db带宽以及稳定性等性能(From the perspective of digital circuits, analyze the PI（propotional & integral) loop filter s closed-loop transfer function as well as the error transfer function, from which you can easily see the loop peaking factor, 3db bandwidth, and stability performance of the closed loop)

surface acoustic wave for filter correlation

Probability of error of 4-DPSK system with differential phase coherent receiver.

基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）(This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelligently and finds out the best one. Parameters in SVM are optimized by PSOEM, which implements automation of the parameter optimization avoiding the blindness of selecting parameters. Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO (Particle Swarm Optimization). Thus, both accuracy and speed are increased at the same time.)

提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图 像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能 量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合 后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.(Proposed image fusion algorithm based on wavelet transform and fuzzy sets. The basic idea is: First the image wavelet transform to obtain the low and high frequency components of the image followed by low and high frequency components in the fusion process to take a different the integration of strategy, integration of the low frequency components using the average energy method, the use of high frequency components of the image fuzzy sets, look for a fuzzy membership function as a fusion operator for fusion image fusion wavelet transform and re- structure of fused images. experimental results demonstrate the effectiveness of the method.)

利用中心差分法计算无阻尼结构动力响应，并作图(Using central difference method to calculate the structural dynamic response)