leadlag

matlab基础教程，malab的基础操作。(matlab Essentials the malab the underlying operating.)

ICA领域大神Paris写的算法，通俗易懂，值得下载(Large areas of Paris wrote ICA algorithm God, straightaway, worth downloading)

多目标粒子群算法很好的教程，适合初学者，里面有详细说明(Multi objective particle swarm optimization algorithm is very good tutorial, suitable for beginners, there are detailed instructions.)

target tracking using kalman

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)

采用中心旋转法来进行曲波变换，带有几个demos。方便的进行curvelet变换(Center of rotation method used to carry out curvelet transform, with a few demos. Convenient for curvelet transform)

使用matlab来处理各种格式的数字图像(use matlab to process image)

Small signal stability analysis of a multi machine system

波束形成的能量分配算法，与中继选择方案及Larsson方案做对比( U6CE2 u675F u5F62 u6210 u7684 u808F u0206 u9141 u9121 u6CD5 uFF0C u4E0E u4E2D u7E7 u9009 u62E9 u65B9 u6848 u53CALarsson u65B9 u6848 u505A u5BF9 u6BD4)

说明：  全文目录包括： 1、绪论 2、编程基础 3、概率论与数理统计基础 4、蒙特卡洛原理 5 粒子滤波原理 6 改进粒子滤波算法 7 粒子滤波在目标跟踪中的应用 8 粒子滤波在电池寿命估计中的应用(Full text catalog includes: 1. Introduction 2.Fundamentals of programming 3. Probability theory and basis of mathematical statistics 4. Monte Carlo principle 5 principle of particle filter 6. Improved particle filter algorithm 7. Application of particle filter in target tracking 8. Application of 8 particle filter in battery life estimation)