ACATSP

说明：  本论文主要对自适应滤波这一重要的课题展开研究和讨论，在算法原理、算法性能分析和通过计算机仿真来说明其各自算法的优越性，在每一个算法中的通过收敛性、学习曲线和失调分析这三个方面来论述。(This thesis focuses on the subject of adaptive filtering to start this important study and discussion, the principle of the algorithm, algorithm performance analysis and computer simulation to illustrate the superiority of their respective algorithms, each algorithm through the convergence of the learning curve and disorders of these three aspects discussed.)

逐行读取GPS观测文件中的信息，实现提取站坐标，L,P观测值等各项观测值，生成一个观测值矩阵。(GPS observation file line by line to read the information, to achieve extraction station coordinate, L, P observations and other observations, to generate a matrix of observations.)

自学的五个小程序可以运行一下试试，为初学者准备(Self-learning program can run about five small try, for beginners)

线性方程组LU分解直接解法，GS迭代、夹克比迭代、SOR迭代等Matlab代码(linear simultaneous equations)

说明：  中文信息处理课件 很好狠好狠好狠好很好很好很好很好很好(Chinese information processing)

传输参考TH－PPM调制超宽带信号的功率谱密度计算(transmission reference TH-PPM modulated ultra-wideband signals in the calculation of the power spectral density)

《MATLAB 7.0编程基础基础》源程序 第3章(Chapter 3 of the " MATLAB 7.0 programming foundation foundation source)

说明：  本文在DCT噪声信号模型研究的基础上,提出了一种新的音频水印嵌入位置选择策略和一个应用该策略的自适应音频水印算法. 通过定义DCT系数的噪声敏感度,建立了水印嵌入位置和嵌入水印后的音频信号的听觉感知性之间的关系,根据音频水印的不可听性的要求选择最优的嵌入位置,然后调节水印强度来满足鲁棒性的要求,从而最大程度地保持音频水 印的不可听性和鲁棒性,为解决音频水印嵌入过程中不可听性和鲁棒性之间的矛盾提供了一种策略.(Though m any w orks in the literature agree that w aterm ark should be em bedded in the middle2fre2 quency coefficients or percep tually significant components, how to determ ine the position em bedded has no universal definition. A new em bedding strategy and an algorithm app lying the strategy are p roposed for audio w aterm arking in DCT dom ain based on research of DCT noise m odal. B y defining a noise sensitivity vector, a m ath relationship betw een the w aterm ark em beddable position and the audible quality of the audio file w ith w aterm ark is set up.)

雷达手册 做雷达信号处理的可以参考 美国 merrill i.skoinik 著(radar handbook)

可以对卡尔曼滤波有较为准确的认识与理解，并且对迭代算法有一定的了解。 (Can to kalman filter have relatively accurate knowledge and understanding, and to have some understanding of iterative algorithm.)