schx4_4

这是一个在方位估计有误差的情况下的MVDR算法，算法可以很好的形成波束并比原算法有更高的输出信干燥比(This is an estimated error in the position under the MVDR algorithm, the algorithm can form a good beam, and higher than the original algorithm drying than the output signal)

Accumulator on dldl reartg

说明：  非线性滤波器信息泄漏的关键问题研究及其说明(Nonlinear filter information disclosure and description of the key issues)

solution to nonlinear equations use secant method

Les principaux ports PC.rar

文章介绍 了交通流元胞自动机模型的产生与发展,总结和评述了国内外各种元胞自动机模型,并对元胞自动机模型的发展提出 展望。 (This paper introduces the establishment and development of cellular automata model of traffic flow, summarizes and comments on different kinds of typical cellular automata models of traffic flow, and furthermore, presents a new perspective for further study of the model· )

经典capon算法doa估计, 波达方向估计算法,空间角度分辨率有限,简单有效的算法(capon classicdoa estimation algorithm , simple DOA estimation algorithm, space limited angular resolution)

FOR HELP AND DOCUMENT FOR POWER

针对强噪声背景中弱信号检测问题，在传统检测方法基础上，提出了基于联合去噪和频率调制的微弱信号检测方法。搭建自相关和小波阈值变换联合去噪系统，极大程度抑制了噪声对检测结果的不利影响。利用频率可调标准信号调制待测信号频率，使得被测信号与检测系统策动力信号的频率差满足检测条件，打破了利用Ｄｕｆｆｉｎｇ 振子检测系统只能检测与系统策动力频率相近信号的限制。(In order to solve the problem of weak signal detection in strong noise background, based on traditional detection methods, puts forward the method of weak signal detection and denoising based on frequency modulation. The self correlation and wavelet threshold transform combined de-noising system can greatly restrain the adverse effect of noise on the detection results. Use adjustable standard signal modulation signal frequency to be measured frequency, the signal detection system and the driving signal frequency difference meet the test conditions, the system can only break detection signal detection and system driving the similar frequency limit by using Duffing oscillator.)

说明：  《Matlab6.x符号计算与应用》机械工业出版社2003年版，刘宏友 彭锋 等编著。本书基于matlab6.0环境下的大量实例，介绍了matlab符号计算功能的适用方法。(Matlab6.x symbolic computation and application，China Machine Press, 2003 edition. LIU Hongyou-Peng Feng, eds. This book based on a large number of instances in matlab6.0 environment, introduced the application of matlab symbolic computing methods.)