RSS-Cramer_Rao

MATLAB的课件集合，详细介绍了matlab的基础知识及其高级的应用，适合入门及进阶者。(MATLAB courseware collection, detailing the basics of matlab and its advanced applications, suitable for entry-and advanced persons.)

BPSK symbol Error rate performance and calculations

this book introduces some basic theories about radar and uses matlab simulating some of them.

carlight1中是一个用C编的程序，用于计算每条光线在测试屏上的坐标(carlight 1 is a C series of the program, each ray is used to calculate the coordinates on the screen in the test)

包括轨道机动仿真、初轨计算,遗传算法无功优化，已经调试成功.内含m文件，可直接运行。( Including orbital maneuvering simulation, initial orbit calculation, Genetic algorithm based reactive power optimization, Has been successful debugging. M contains files can be directly run.)

说明：  基于Matlab的频谱分析,时域抽样定理,FFT的仿真以及应用FFT对典型信号进行频谱分析的方法。 (Matlab-based spectrum analysis, time domain sampling theorem, FFT of the simulation and the application of FFT on the typical signal spectrum analysis.)

序列设计相关的一个程序，非常好用的哟，就是这样啦，哈哈(The design of a sequence related procedures, very useful hey, is this now, ha ha)

说明：  基于matlab系统的信号FFT频谱分析与显示.pdf(Matlab signal system based on the FFT spectrum analysis and display. Pdf)

一个对初学matlab的人很有用的视频学习资料，让初学者在短时间学习matlab界面(matlab study )

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)