Large-MIMO-Systems-(2014)

说明：  画海洋中一些海图，对于学海洋学生来说很重要(It is important for ocean students to draw charts in the ocean)

The Matlab functions and scripts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectrum Histogram - ma_ph sone to Periodicity Histogram - ma_fp sone to Fluctuation Pattern - ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering) - ma_cms cluster models to distance (Cluster Model Similarity) - ma_kmeans kmeans clustering (used by "ma_fc") - ma_cm_visu visualize a cluster model (as returned by "ma_fc") - ma_simple_eval script for a simple evaluation of similarity measures - ma_simple_iom script for a simple islands of music interface (The Matlab functions and scripts in the MA t oolbox are :- ma_sone wav (PCM) to betamethasone ('s specific loudness ensation)- ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients)- ma_sh betamethasone to Sp ectrum Histogram- ma_ph betamethasone to Periodicity Hi stogram- ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering)- ma_cms cl uster models to distance (Cluster Model Simila rity)- ma_kmeans kmeans clustering (used by "m a_fc ")- ma_cm_visu visualize a cluster model ( as returned by "ma_fc")- ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface)

可以画出双曲线的图形,比较好用,同时也可为大家编写画其他函数曲线提供借鉴.(Hyperbola can be drawn in the graphics, more convenient, but also for the preparation of U.S. painting other function curve for reference.)

说明：  对于受轴向力的板结构，求取单元应力，节点位移，和固有频率(For the plate under axial force to strike element stress, node displacement, and natural frequency)

matlab的应用教程，ppt格式，教学用(the application of matlab tutorials, ppt format, teaching)

这是关于卷积与Z和S映射的MATLAB源代码，含有基本操作的源代码，希望对大家有所帮助。(This is on the convolution with the Z and S mapping MATLAB source code, containing the basic operation of the source code, I hope to help all of you.)

先进PID控制及MATLAB仿真程序，第一章的经过运行，全都成功(Advanced PID control and MATLAB simulation program, run through the first chapter, all successful)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)

这是利用matlab编写的层次分析法例程，希望有所帮助。(This is the use of matlab routines written in AHP, hope help.)

模拟退火算法——组合优化 模拟退火算法主要用于解决组和优化问题，它是模拟物理中晶体物质的退火过程而开发的一种优化算法。在对固体物质进行模拟退火处理时，通常先将它加温熔化，使其中的粒子可自由运动，然后随着温度的逐渐下降，粒子也逐渐形成了低能态的晶格。若在凝结点附近的温度下降速率足够慢，则固体物质一定会形成最低能态的基态。 对于组合优化问题来说，它也有这样的类似过程。组合优化问题解空间中的每一点都代表一个具有不同目标函数值的解。所谓优化，就是在解空间中寻找目标函数最小（大）解的过程。若把目标函数看成能量函数，某一控制参数视为温度 T，解空间当作形态空间，那么寻找基态的过程也就是求目标函数极小值的优化过程。 (Simulated annealing algorithm- combinatorial optimization Simulated annealing algorithm used to solve optimization problems and the group, it is the physical simulation of the crystal material in the annealing process and the development of an optimization algorithm. Solid substances in the simulated annealing process, it is usually heated it first melts, so that the particles are free to exercise, then gradually decreased as the temperature of the particles gradually formed a lower state of the lattice. If the temperature drops near the condensation rate slow enough, the solids will form the lowest energy state of the ground state. For combinatorial optimization problems, it also has such a similar process. Combinatorial optimization problem the solution space of each point represents a different objective function value of the solution. The so-called optimization, is in the solution space to find the minimum objective function (large) solution process. If the objective function a)