mfac

说明：  本系列为利用matlab救解常见微分方程的源程序及相关例子。(this series save for the use of Matlab solution of differential equations common source and related examples.)

数字信号处理－理论、算法与实现的源代码，有c语言，fortran语言，matlab语言(<<digital signal procesing-theory and realize >>source codes,which is coded by c,fortranand matlab)

说明：  地震偏移成像技术比较经典且易理解的资料，比较有用(Seismic migration imaging more classic and easy to understand information more useful)

使用波形匹配和镜像对称克服EMD端点飞翼现象(Use symmetrical waveform matching and mirroring endpoint overcome EMD wing phenomenon)

The C++ Programming Language(Bjarne Stroustrup著) 书中第五部分附录及代码(The C++ Programming Language Calculation Codes)

说明：  carsim与matlab联合仿真，车辆跟踪双移线曲线(Carsim and MATLAB co-simulation, vehicle tracking double lane change curve)

matlab界面编程，适合于界面编程的初学入门。(The introduction to the programmer of matlab.)

Hermite差值函数算法，输入两端点的函数值以及导数，输出是差值函数。(Hermite difference function algorithm, the two end points of the input function values ​ ​ and derivatives, the output is a function of the difference.)

产生线性调频脉冲信号和他的瞬时频率提取函数波形图，非常适合初学者学习研究的有用算法，有详细注释(Produce a chirp signal and his instantaneous frequency extraction function waveform, which is well suited for beginners to study the useful algorithms of study, with detailed notes)

Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.