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应用MATLAB语言处理数字信号与数字图像，适合初学者学习(Application of MATLAB language processing digital signals and digital images, suitable for beginners to learn)

matched filter implemented in matl ab

这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。(This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networks, etc.), using the least squares method/maximum likelihood, Kalman filtering, Monte Carlo, particle filtering methods , but many readers need is there are a large number of simulation examples and program code, and with Chinese notes, the book the reader can combine the principles and formulas, a better understanding of the program. Also suitable for many readers on the basis of the existing code to improve the algorithm.)

清华大学章毓晋老师图像分析最后一次作业答案(The answer for the last homework of image analysis by Yujin Zhang, Tsinghua univ.)

一种无线通信系统中，重传技术并且有时间关联的outage的错误检查方法(A radio communication system, and a retransmission is associated with the outage time error checking method)

the performance of LSE algorithm in OFDM channel estimation

这是一个matlab神经网络的简单应用，主要用于预测光伏出力，输入为温度湿度等因素，输出为光伏出力。(this is an simple example appling neural network using matlab which can be used to predict the active power of a PV.Tempreture,humid etc are input variables and the active power of a PV is output variable)

本章介绍MATLAB在概率统计中的若干命令和使用格式，这些命令存放于MatlabR12ToolboxStats中。(This chapter describes the MATLAB in probability and statistics in a number of commands and use format, these commands stored in MatlabR12 Toolbox Stats in.)

本文概述了使用MATLAB图像去噪的基本原理。以小波分析法为重点，对常用的几种去噪方法进行了分析比较。最后结合理论分析和实验结果，讨论了一个完整去噪算法中影响去噪性能的各种因素。(This paper outlines the basic principles of image denoising using MATLAB. Wavelet analysis, focusing on several commonly used de-noising methods were analyzed and compared. Finally, the theoretical analysis and experimental results, discusses the various factors that affect a complete de-noising algorithm denoising performance.)

Watermarking, as opposed to steganography, has an additional requirement of robustness against possible attacks. An ideal steganographic system would embed a large amount of information perfectly securely, with no visible degradation to the cover object.