matlab_codes

OFDM transmitter is defined for the SDR

用MATLAB写的宽度优先搜索函数，支持障碍设置和四叉树/八叉树的选择，在路径搜索方面有用。(First search function using MATLAB written in width, support the obstacles set up and quadtree/octree useful in terms of route search.)

实现随钻测量中各个角度的校正系数的计算方法，以实现正确角度校正，实现井眼轨迹控制(To achieve with measurement while drilling angle correction factor calculated in order to achieve the correct angle correction, the well trajectory control)

filtering window kaiser

simulation for localizing the wireless nodes, error estimator etc. project with report

对光纤中光的传播特性进行仿真（包括单模和多模光纤）(Simulation of optical propagation characteristics in optical fibers (including single-mode and multimode fiber))

用matlab编写的关于无线网络仿真的源码例子(Prepared using matlab source code on the example of wireless network simulation)

Simulink官方教學, 內容詳盡, 每個方塊組成都有介紹(Official documentation on Simulink, including details on every elements.)

基于MATLAB的手机按键音识别系统设计的源代码，并利用GUI界面实现可视化操作功能(MATLAB-based mobile phone key tone recognition system design source code, and use the GUI interface to visualize operational functions)

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)