Desktop

该程序是一个仿真模型，对窄带的带通滤波器进行了仿真(The program is a simulation model of narrow band pass filter was simulated)

this simulation is cascade with matlab

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)

基于MATLAB的GMSK和基带信号功率谱密度仿真实验开发 (Experiments development of GMSK and power spectral density of base-band signals based on Matlab simulation)

说明：  巴特沃斯滤波的算法，希望对大家有所帮助，自己写的。(Butterworth filter algorithm, we want to help, his writing.)

该文档主要介绍了什么是PLC，及OFDM在LPC中的应用。(The document describes what is a PLC, and OFDM in the LPC application.)

simple edge color coding

说明：  机动目标跟踪的一本书，pdf版的，经典。要看。(Target tracking in a book, pdf version of the classic. Look.)

EM算法用于高斯混合模型，实现数据的精确分类(The EM algorithm for Gaussian mixture model, the exact classification of the data)

独立分量分析（ICA）以非高斯源信号为研究对象，在统计独立的假设下，对多路观测到的混合信号进行盲信号分离，已广泛应用于无线通信、生物信号提取、语音信号处理、图像处理和噪声抑制等领域。 (The independent component analysis (ICA) addresses non-Gaussian source signals under amusing independent each other, it performs blind separation for multi-channel observed signals. It has widely applied in wireless communication, biological signals extraction, audio signal processing, image processing, and noise reducing and so on.)