unsectorized

使用simulink实现SCFDE迫零检测(Simulink realization using zero-forcing detection SCFDE)

一个介绍如何使用matlab的文献，还详细说明了原理(A paper about the matlab filter and it introduction how to use it.)

kalman for radar tracking

Processing of Image Files by: using Photoshop to crop images. Then, use MATLAB to: Convert images into a transformed domain and Design 2D filters for further analysis.

在MATLAB环境下，使用FFT实现的理想低通滤波器。(FFT implementation of the ideal low-pass filter。)

SVD奇异值变换matlab实现源代码，m文件源代码(SVD singular value transformation matlab source code to achieve, m source code file)

说明：  关于半色调编码计算全息图的信息隐藏Matlab程序的说明： 算法实现主程序为CGHwatermark； 位相恢复函数为phaseSL； 用计算全息记录已知振幅和位相的复波前函数为Hologen； 半色调编码函数为AMhalftone； 嵌入信息的提取直接调用Matlab自带的FFT2函数； 主程序的函数调用关系如下 读入宿主信息和水印信息-----------phaseSL--->Hologen--->AMhalftone(完成嵌入)--->FFT2（提取水印信息） 主程序结果保存于holo&mark文件夹 对算法鲁棒性测试的程序： 1. 对于剪切操作 Cliptest 结果存放于cliptest文件夹 2. 对于缩放操作 zoomtest 结果存放于zoomtest文件夹 3. 对于旋转操作 rotatetest 结果存放于rotate文件夹 4. 对于滤波操作 filtertest 结果存放于filtertest文件夹 5. 测试算法的时间效率 timetest 6. 分析嵌入信息后图像质量与参数alpha，tao的关系 msetest(err)

曹梦龙 仿真大实验 欧拉 隐氏欧拉 改进欧拉的matlab m程序 包括命令 以及生成的图形(Euler implicit Euler Improved Euler s program, including command of matlab m-generated graphics and)

Multi-Carrier Digital Communications Theory and Applications of OFDM Second Edition Multi-carrier modulation‚ Orthogonal Frequency Division Multiplexing (OFDM) particularly‚ has been successfully applied to a wide variety of digital communications applications over the past several years. Although OFDM has been chosen as the physical layer standard for a diversity of important systems‚ the theory‚ algorithms‚ and implementation techniques remain subjects of current interest. This is clear from the high volume of papers appearing in technical journals and conferences. Multi-carrier modulation continues to evolve rapidly. It is hoped that this book will remain a valuable summary of the technology‚ providing an understanding of new advances as well as the present core technology.

这是用Matlab编写的卡拉曼滤波程序，用于PPP精密单点定位。(It is written with Matlab Karaman filtering process, precise point positioning for the PPP.)