bookDC

image enhancement in frequency domain

说明：  用matlab的mesh命令画出所要求解的大量数据文件的图形(The mesh command using matlab draw large amounts of data required for solution of graphic files)

this is matlab code that perform convex optimization for several objective function types

说明：  最优控制仿真例子.给出最优控制书里经典算例代码(Optimal control simulation example. Gives the optimal control book classic example code)

说明：  精通Matlab7 及精通Matlab GUI设计随书光盘源代码(Proficient, and proficient in Matlab GUI design Matlab7 CD with the book source code)

用matlab编写的lde算法，实现的数据分析，抽取分类信息和压缩特征空间维数(Lde prepared using matlab algorithm to achieve the data analysis, feature extraction classified information and compressed space dimension)

各种人脸识别的matlab程序，改动后可以跑得通。根据自己的需要进行选择。(Various face recognition matlab program, changes can run through. Choose according to their needs.)

这是一个matlab的工具箱，里面有很多常用的例程，对于matlab的学习有很大的帮助。(This is a matlab toolbox, there are many common routines for matlab learning a great help.)

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)

实现粒子群算法的pid整定，适应于simulink模型的仿真，效果不错(Realize the pid tuning of particle swarm optimization algorithm, adapt to the simulation of simulink model, the effect is good)