4.ppt

MANUAL DE COMANDO AT PAR PRODUCTOS DE GSM

[IOVS]2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl的实现matlab代码，医学图像增强([IOVS] 2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl realization of matlab code medical image enhancement)

说明：  newmark-beta法解多个自由度的结构动力响应，并输出结构响应图形(Newmark-beta method is used to solve the structural dynamic response of two degrees of freedom and output the structural response graph.)

该算法主要实现将经纬度变换成大地坐标，其主要用在海试等外场试验中。(The algorithm to realize the coordinates transform into the main geodetic coordinates, its main use in the field test and try. )

学习Alamouti空时分组码，了解最大比合并，最大似然译码的使用，了解相关检测和差分检测的区别与判决公式(A code about Alamouti for MIMO.)

TRES IMPORTANT SUR LES MOTEURS PAS 0 PAS

清华大学张旭东老师《现代信号》处理大作业的代码，实现Pisarenko、Music和Esprit算法。代码高效正确。(This code is programed for the algorithms of Pisarenko,Music and Esprit.And they are especially for the project of modern signal processing ,which is tought by Zhang Xudong in Qinghua University.)

This is matlab code for generation of OFDM symbol using QAM modulation scheme

最小二乘ESPRIT (LS-ESPRIT)的Matlab实现与相关性能分析，直接由特征值确定DOA，大大减少了计算量；不需要精确知道阵列流型向量，对阵列校准要求不严格。(analysis and performance to LS-ESPRIT achieved by the Matlab, DOA value is determined directly by the characteristics, greatly reducing the amount of calculation do not need to know the exact array manifold vectors, not strictly on array calibration requirements.)

《统计与自适应信号处理》是国外最新出版的一本统计信号处理教材。其主要特点是对统计与自适应信号处理的理论方法、实现及应用给出了较完整的论述和介绍。作者根据其多年的教学经验，并针对现代信号处理的理论及应用方面的重要性，选定谱估计、信号建模、自适应滤波与阵列信号处理等几个关键论题进行了详细的讨论。《统计与自适应信号处理》强调基本概念和理论方法，目的是为读者以后深入研究一些信号处理的新课题打下良好的基础。为了便于掌握，书中的数学描述和推导仅限于高年级本科生、研究生和工程技术人员能够理解的水平，因此《统计与自适应信号处理》具有较强的实用性。 《统计与自适应信号处理》适用于大学高年级本科生和研究生作为选修现代信号处理课程的教学参考书，也可作为工程技术人员自修现代信号处理理论及应用的参考书("Statistical and Adaptive Signal Processing" is the latest edition of a foreign statistical signal processing materials. Its main characteristic is the statistical theory and adaptive signal processing methods, and applications are given to achieve a more complete discussion and description. According to their years of teaching experience, and for modern signal processing theory and application of the importance of the selected spectral estimation, signal modeling, adaptive filtering and array signal processing, and several other key topics were discussed in detail. "Statistical and Adaptive Signal Processing," emphasizing basic concepts and theoretical methods, the reader is intended to signal processing after the in-depth study some new issues and lay a good foundation. In order to facilitate control, the mathematical description and derivation of the book is limited to advanced undergraduates, graduate students and engineers to understand the levels, "Statistical and Adaptive Signal)