The-interpolation-and-fitting_matlab

特征值，特征向量，解决电动机共振问题实例，matlab实现。()

以实际应用中的一些具体工程实例为基础，详细介绍MATLAB的具体使用方法(Based on some specific projects of practical applications,and introduce how to use MATLAB in these projects.)

The file generate kasammi codes

针对奖学金的评定问题。给出20名学生的若干科学习成绩，经过理想解法对20名学生进行筛选。(Scholarship assessment. Give 20 students a number of subjects grades of 20 students, after the ideal solution for screening.)

基于均衡网络能耗的无线传感网络路由算法，包括分簇机制，数据传输机制等(Wireless sensor network routing algorithm based on balanced energy consumption of the network, including the clustering mechanism, data transmission mechanism)

matlab 做montecarlo的入门(matlan)

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)

MIMO发射和表收天线有4*48*8的QR分解符号检测QPSK调制简单例子有用就拿去(MIMO transmit and receive antennas tables have 4 * 4 8 * 8 QR decomposition QPSK modulation symbol detection will take a simple example of a useful)

稀疏建模工具箱，是一个为解决各种稀疏估计问题的开源优化工具箱，可实现字典学习与矩阵分解；使用LARS、快速下降法、OMP、SOMP等算法解决稀疏分解问题；使用Lasso解决结构化稀疏分解问题( Dictionary learning and matrix factorization Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods Solving structured sparse decomposition problems )

LBP (local binary Pattern ) useful for texture classification