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说明：  编写的一个信号通过带阻滤波器的例子，已经运行通过(Signal through an example of band-stop filter, run by)

牛顿迭代算法，可以解决非线性优化问题，但是求出的是局部最优解，应用时应该注意(Newton iterative algorithm to solve nonlinear optimization problems, but find the local optimal solution, the application should be noted)

本文件主要是对于飞行器的轨迹的模型描述和辨别，以及对于不同坐标下的转换。(This document is the main model to describe and identify the trajectory, and the conversion for different coordinates.)

Gauss Seidel 解数学矩阵方程 Bisection 解1元高次方程 Newton Method 解高次方程 Taylor series 泰勒公式求方程近似解(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations.)

MUSIC算法是基于天线阵列协方差矩阵的特征分解类DOA估计算法，这里给出的是基于四阶累计量的MUSIC算法。(MUSIC algorithm for DOA estimation algorithm is based on the decomposition characteristics of the antenna array covariance matrix given here is based on the fourth-order cumulant MUSIC algorithm.)

显示了存在的相关关系的4PSK码的性能接收天线。检查出使用性能更高的跟踪从5.4.5节中给出的代码表。空时格码的代码如何从比较的角度来看STBC的编码鲁棒性的相关性存在(shows the performance of 4PSK codes in the presence of correlation between receive antennas. Check out the performance using higher trace codes from the tables given in Section. How do STTC codes compare with STBC codes from the point of view of robustness in the presence of correlation?)

说明：  偏微分方程的MATLAB解法． 讲述如何利用pdetool工具箱求解偏微分方程． (MATLAB PDE solution. Pdetool on how to use toolkit for partial differential equations.)

进行多目标跟踪的matlab程序，单传感器，两个目标的JPDAF算法(Matlab program used for multitarget tracking ,single sensor,two target JPDAF algorithm)

Kongsberg EM 系列多波束解码说明书，可以参考里面的说明帮助实现底层解码。(Kongsberg EM Series Multibeam echo sounder EM datagram formats)

来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in computer vision, machine vision and related areas. It is a somewhat eclectic collection reflecting the author s personal interest in areas of photometry, photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation, feature extraction, camera calibration, camera exterior orientation, display, color space conversion and blackbody radiators. The Toolbox, combined with MATLAB and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. It is possible to use MEX files to interface with image acquisition hardware ranging from simple framegrabbers to Datacube servers.(from Australia Qeensland University of Computer Vision Matlab toolbox. This Toolbox provides a number of functions tha t are useful in computer vision, machine vision and related areas. It is a somewh at eclectic collection reflecting the author's personal interest in areas of photometry. photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation and feature extraction. camera calibration. camera exterior orientation, display, color space conversion and blackbody radiator s. The Toolbox. MATLAB and combined with a modern workstation c omputer. is a useful and convenient environment for OAS stigation of machine vision algorithms. It is p ossible to use MEX files to interface with image acquisition hardware ranging from simple fram eg)