acquisition-for-DF

describes the most common terms used in radarsystems, such as range, range resolution, Doppler frequency, and coherency. The second part of this chapter develops the radar range equation in many of its forms. This presentation includes the low PRF, high PRF,search, bistatic radar, and radar equation with jamming.(describes the most common terms used in rad arsystems, such as range, range resolution, Doppler frequency, and coherency. The second part of this chapter d evelops the radar range equation in many of its f orms. This presentation includes the low PRF. high PRF, search, bistatic radar, and radar equation with jamming.)

利用自抗扰控制器理论，提出了一种新颖的永磁同步电动机无位置传感器矢量控制系统 的转速估计方法。(A novel speed estimation approach to sensorless vector control of Permanent Magnet Synchronous Motor (PMSM) based on Active Disturbance Rejection Controller (ADRC) was proposed. )

W elcome to X CELL, the new Xilinx customer newsletter. By sending us your development system registration card you automatically became n charter subscriber to this quarterly publication. It is our intent to make this an informative, easy to read, responsive and-hopefully- interactive newsletter. We want to supply you with early and correct information, tell you about the status of our products and about our plans, about bugs and their workarounds, give you applications ideas and convey to you some of the en thusiasm that we feel for our Programmable Gate Arrays. If you have questions or suggestions, please send them to me. II Letters to the Editor make a newsletter more lively. Peter Alfke, Editor

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

说明：  用c++编的关于图书系统的一个实例子，有参考价值(With c++ Series on the book an example of sub-systems, there are reference value)

运用matlab软件进行GPS的N文件读取的matlab源代码(Matlab software using the GPS reading N matlab source code files)

2x2 Alamouti BPSK Rayleigh

一个好玩的Matlab游戏，启发你学会编辑代码，趣味练习的帮手(A fun Matlab game, inspired you to learn to edit code, fun exercises helper)

Block Matching Algorithm (continuous) New Three Step Search

matlab 学习过程中常见的一些函数的使用方法(the description of the commen functions in matlab)