huidugongsheng

将lms算法进行了适当改进，改进算法与基本的lms算法使用matlab进行仿真比较，效果明显。(Lms algorithm will be appropriate improvements to improve the algorithm and the basic algorithm uses matlab simulation lms compared to an evident result.)

Matlab实用程序 67-84是：图形处理篇(Matlab Utilities)

论文：基于Matlab的QPSK系统设计仿真(Thesis: The QPSK system design based on simulation of Matlab)

基于matlab的算术编码设计，里面的程序均得到验证(Arithmetic coding matlab-based design, which the program have been validated)

simulink file for a dc motor with PID

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)

将MIT-BIH标准心电数据库中的数据读入到matlab中的程序(The MIT-BIH ECG database to read the procedure in matlab)

Horizontal rank filtering image

理论力学经典问题数值模拟课件，平底凸轮的动画演示。显示了不同动点的选择，相对运动轨迹的形式。(Numerical simulation of the classic problems of theoretical mechanics courseware, flat cam animation. Shows the different choices of fixed points, the relative trajectory of the form.)

Distributed fault identification via non-parametric belief propagation