56608

This paper examines the asymptotic (large sample) performance of a family of non-data aided feedforward (NDA FF) nonlinear least-squares (NLS) type carrier frequency estimators for burst-mode phase shift keying (PSK) modulations transmitted through AWGN and flat Ricean-fading channels. The asymptotic performance of these estimators is established in closed-form expression and compared with the modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator (BLUE), which exhibits the lowest asymptotic variance within the family of NDA FF NLS-type estimators, is also proposed.

说明：  详述了Matlab中画图的命令及技巧，针对出现的问题进行了说明和逐一演示。(Matlab detailed drawing of the orders and skills, for the problems described, and each presentation.)

最速梯度法工具箱，添加方法在命令窗口中敲入pathtool，会出现一个setpath的窗口，点add folder或者add with subfolders按钮，选中你的工具箱。保存既可。任选工具箱中的一个命令，然后help一下看看是否好使。(Toolbox steepest gradient method, add the method in the command window and typing pathtool, a setpath window appears, point add folder or add with subfolders button, select your toolbox. Save both. Choose a command in the toolbox, and then help look to see if so.)

一个用于求解无对角分块矩阵线性方程组的matlab程序。带有误差函数。(a matlab program used for solving for the roots of huge linear equations by LU decompision.)

saber 对于三相逆变电路的仿真原理图，可实现任意频率可调的逆变驱动电路(saber for the simulation of three-phase inverter circuit schematic can be realized at any frequency inverter drive circuit adjustable)

说明：  自适应模糊滑模控制器设计的matlab源代码，对于研究滑模变结构控制的同学很有用。(The matlab source code of adaptive fuzzy sliding mode controller design is very useful for students who study sliding mode variable structure control.)

LNBH25/26 SW control guideline. SW driver for STV0910 and STV0913 NIM.

对图片中的各种几何图形进行识别，包括圆形，正方形，矩形，六边形，菱形等(On the picture to identify the various geometric shapes, including round, square, rectangular, hexagonal, diamond, etc.)

基本的免疫克隆算法，可以帮组大家学习智能算法(The basic immune clonal algorithm, can help set them to learn from intelligent algorithm)

Digital signal processing(Digital signal processing program contains a variety of signal processing algorithms)