chapter3

Matlab在脆弱水印中的应用。对matlab在脆弱水印中的应用指明了方向(Matlab in fragile watermarking application. Of fragile watermarking in matlab application specified in the direction)

对信号进行检测和估计，对信号进行 最大后验估计和最大似然估计(The signal detection and estimation, the signal Maximum a posteriori estimation and maximum likelihood estimation)

说明：  粒子群（PSO）简单教程，适合matlab新手，以及PSO算法的入门教程。(Particle swarm optimization (PSO) simple tutorial, suitable for matlab novice, as well as the introduction of PSO algorithm tutorial.)

Its a file for Image Merging algorithm

OFDM的MATHLAB仿真，计算误码率，误比特率，π/4qpsk调制(OFDM-MATHLAB simulation, the calculation error rate, bit error rate, π/4qpsk modulation)

The function impulsive_noise generates non-gaussian noise with inputs of beta, gamma,and the power of noise is 1 in W or 0 in dB. The noise can be defined either real or complex. The other functions generate QAM symbol and insert a vector to another vetor with specific locations

基于小波变换的特征检索算法，用了广义高斯函数和K-L距离为相似侧度 (Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback–Leibler Distance)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation.)

矿井超宽带方面的一篇博士论文，里面包含大量信道建模方面知识，对于初学者深刻理解多径信道方 面的内容大有裨益。(tudy on channel models of the Ultra-wideband wireless communication in undergrand mines)

模糊聚类的图像分割,通过模糊c-均值（FCM）聚类实现图像的分割(Fuzzy clustering segmentation Image segmentation by fuzzy c-means (FCM) clustering.This is a very very very good file.matlab)