SCR

说明：  matlab 帮助文档 有什么不懂得地方就看看 很方便(matlab help document what do not know where to look easy)

电机及拖动教科书的直流电机的固有机械特性及人为机械特性，配合教科书讲课用的MATLAB的源程序，绝对好用，用时，将WORD文件复制的MATLAB里即可。(failed to translate)

换能器导纳图绘制函数，需要自备换能器导纳数据，代入即可(Transducer admittance mapping function, you need to bring their own transducer admittance data can be substituted into)

说明：  本程序是机械手的自适应控制的仿真实例，m文件里有程序说明。(This procedure is the adaptive control of the manipulator simulation example, there is a program in the M file.)

该压缩包里面是Matlab中的图形应用时有用的源程序(The compressed packets are inside Matlab graphics applications in a useful source)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

说明：  Signaltap的TBL文件的读写程序，方便用户使用matlab对signaltap的数据进行分析(Signaltap TBL file reading program, user can analyze signaltap data through this program )

matlab 常用算法程序，例如插值，矩阵特征值计算，函数逼近等常用算法。(matlab algorithm used procedures, such as interpolation, eigenvalue computation, function approximation and other common algorithms.)

改程序描述了从WGS84坐标系转换为大地坐标系的程序转换，该实验对学习卫星导航的人来说，很有用(the program is about the algorithm of conviter from WGS84 to HBL)

Abstract The study of digital signal processing normally concentrates on the design, realization, and application of single-input, single-output digital filters. There are applications, as in the case of spectrum analyzer, where it is desired to separate a signal into a set of sub-band signals occupying, usually nonoverlapping, portions of the original frequency band. In other applications, it may be desired to combine many such sub-band