STBC

本文分析了多级维纳滤波器的特性，在加性噪声和二维天线阵列如均匀圆阵、均匀面阵、十字阵等条件和背景下，对信源个数和信源参数估计问题进行了研究，提出了基于多级维纳滤波器前向分解特性的快速参数估计方法，同时提出了基于多级维纳滤波器的二维ESPRIT参数估计方法，该类方法无需协方差矩阵的估计运算及分解运算，计算复杂度较低。另外，还提出了对信源个数的估计算法。(This paper analyzes the characteristics of multistage Wiener filter, in the additive noise and the two-dimensional antenna array such as a uniform circular array, the uniform array, cross array conditions and background, the source number and source parameter estimation problem undertook study, put forward based on Multistage Wiener filter prior to the decomposition characteristics of fast parameter estimation method, at the same time based on Multistage Wiener filter 2D ESPRIT parameter estimation method, the method does not need to estimate of covariance matrix calculation and decomposition, relatively low computational complexity. In addition, also put forward for source number estimation algorithm.)

AdditionService add_args add_argsStandardScheme

说明：  QT编写的CAN通讯源代码文件，通讯盒子用的是珠海芯创的can盒(The source code file of CAN communication written by QT. The communication box is the can box of Zhuhai Xinchuang.)

Implementation of Adaptive Modulation and Coding Techniques using Matlab

HHT变换的核心是EMD,在此项过程中通过EMD的编程和HHT的编程来实现了希尔伯特黄变换,可以看出处理此方法用来处理非线(The core of HHT transform is that EMD, realizes Hilbert Huang transform through EMD programming and HHT programming in this process. It can be seen that this method is used to deal with non-linear.)

WINDOWS 应用程序（嵌入web浏览器），通过IC/NFC读卡器读取卡号,(IC/NFC card reader,can recognize card sn.)

信号的统计检测与估计理论---李道本 一本很好的教材。分别对信号的检测和估计做了详细描述(The statistics of the signal detection and estimation theory--- Li Tao, a good textbook. A detailed description of signal detection and estimation)

这个是关于OFDM系统的信道估计的算法的两种方法，分别是OFDM的最小二乘和最小均方误差估计的仿真程序代码(the OFDM system is on the channel estimation algorithm of the two methods OFDM are the least squares and minimum mean square error estimate of simulation code)

说明：  实现CMA，MCMA等盲均衡算法的实现，以及收敛曲线的对比(Implementation of CMA blind equalization algorithm)

Pin configuration for hy-640 GSM module