image_norm

说明：  Alamouti 分集方案的仿真程序 能仿真 空时分组码的 信噪比(Alamouti diversity scheme of simulation program)

用鍵合圖方法進行建模的汽車懸架仿真 m文件 可改參數(bond graph)

Dijkstra (Dijkstra) 算法MATLAB源码(Dijkstra (Dijkstra) algorithm)

MIMO和OFDM在matlab上的仿真，本程序是毕业优秀论文仿真，很实用。(MIMO and OFDM on the matlab simulation, this program is excellent graduation thesis simulation, it is practical.)

稳健的capon自适应波束形成器的算法实现.Robust Broadband Beamformers(Robust capon adaptive beamformer algorithm .Robust Broadband Beamformers)

采用模糊聚类算法和加核模糊聚类算法进行医学图像的分割。采用matlab编程，界面处理较好。 (Using fuzzy clustering algorithm and processing of nuclear fuzzy clustering algorithm for medical image segmentation. Using matlab programming, interface, better handling.)

说明：  神经网络BP辨识的Matlab算法，用于辨别复杂的非线性系统(Identification of the Matlab neural network BP algorithm, used to identify the complex nonlinear systems)

matlab中对GUI的操作，熟悉在GUI中控件的操作(matlab in the operation of the GUI, and familiar with the operation of the control in the GUI)

潮流准调和分析 Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd(y,D,Y,tm,A1) 计算6个准调和分潮的振幅系数和初相角公式 aM.m [N n aa liu_u liu_v]=aM() 基础系数矩阵，目前D和d值是取用的各段数据的中间时间值，t是以中间为0左右对称取； 视差潮龄A1需要预先得知 同时本程序负责读取原始测流数据，格式为 站位名称 观测数据段数N（即大 中 小潮） 第一段起始时间YYYY MM DD HH mm ss 第一段个数n1 speed direction speed direction ... 第二段起始时间 YYYY MM DD HH mm ss 第二段个数n2 speed direction speed direction ... 第三段起始时间 YYYY MM DD HH mm ss 第三段个数n3 speed direction speed direction ... UVg.m [U V Ug Vg]=UVg() 求调和常数U V和迟角Ug Vg Tuoyuan.m 计算各准调和分潮的椭圆要素W theta K k (The quasi harmonic analysis of tidal current Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd (y, D, Y, TM, A1) calculation of 6 quasi harmonic division of amplitude and initial phase angle formula of the coefficient of tide AM.m [N n AA liu_u liu_v]=aM () foundation coefficient matrix, the current D and D values are the middle time of each section of data taken the value of T is in the middle for symmetric about 0 Age of parallax A1 need to know in advance At the same time, this program is responsible for reading the original flow measurement data, format for Site name The observation data segment number N (that is, in the low tide) The first section of the YYYY MM DD HH mm the starting time of SS The first section number N1 Speed direction Speed direction ... The second section starting time YYYY MM DD HH mm SS The second section number N2 Speed direction Speed direction ... The third section starting time YYYY MM DD HH mm SS The third section number )

nsga-2算法实现多目标优化,改进了nsga算法。是一种先进的遗传算法(nsga-2 multi-objective optimization algorithm, improved nsga algorithm. Is an advanced genetic algorithm)