CSCE575_ProgrammingAssignment1_Oladiran

均匀圆阵部分阵元失效情况下的DOA估计方法(Part of uniform circular array element failure in case of DOA Estimation)

关于copulas相关的比较齐全的编程代码，能够简单地将相应程序运行(About copulas related to the relatively complete programming code, can simply be the corresponding program to run)

VC++编程，将文本10000点的数据导入，将1000点的数据导出，然后可以直接导入Matlab程序中画出实时波形。(VC++ programming, the text data into 10,000 points, 1,000 points will export the data, then import the Matlab program can draw real-time waveform.)

捷联惯性导航系统的卡尔曼滤波对准程序，非常有用(alignment sins)

VC 中调用MATLAB 程序功能： 为了在vc中调用MATLAB而写的一个简单测试程序 设置路径： 根据MATLAB所在盘而定，例如我的matlab是装在D盘的，所以需要包含的路径为 D:MATLAB6p1externinclude,在工程中设置 需包含的头文件： //matlab中的头文件调用matlab的函数 #include "engine.h" 需要连接的LIB库： D:MATLAB6p1externlibwin32digitaldf50libeng.lib D:MATLAB6p1externlibwin32digitaldf50libmx.lib 支持mx函数 (程序功能： 为了在vc中调用MATLAB而写的一个简单测试程序 设置路径： 根据MATLAB所在盘而定，例如我的matlab是装在D盘的，所以需要包含的路径为 D:MATLAB6p1externinclude,在工程中设置 需包含的头文件： //matlab中的头文件调用matlab的函数 #include "engine.h" 需要连接的LIB库： D:MATLAB6p1externlibwin32digitaldf50libeng.lib D:MATLAB6p1externlibwin32digitaldf50libmx.lib 支持mx函数 )

matlab代码 各种信息 对于初学者很有用(matlab code a variety of useful information for beginners)

讲matlab和c#混合编程的电子书，英文版，里面例子较多(Mixed matlab and c# programming e-books, English speaking, which examples are more)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

Queen problem is solved

NT4 component WinDbg source for developer reference