Simulating_Wireless_Communication_Systems__Pract_

用SURF实现图相配准，可以自行修改图片！！(SURF Image registration)

modification for curvelet code running

这是一本关于matlab的实用教程，里面对matlab的功能进行了详细的介绍，很有学习价值。(This is a practical tutorial on matlab, which functions on matlab carried out a detailed description of the value of great learning.)

介绍了通信系统中各个通信模块的MATLAB实现(Introduction of the communication systems of various communication modules realize the MATLAB)

这是一个采用MMSE方法实现的自适应空时多用户侦测程序，还有卷积子程序，侦测子程序，注释详细(This is a method used to achieve adaptive MMSE space-time multiuser detection process, as well as convolution subroutines, detection subroutine, comments in detail)

PSO for constrained problem

《Matlab/Simulink通信系统建模与仿真实例分析》一书配套光盘，包含全部m文件、simulink模块等 (" Matlab/Simulink modeling and simulation of communication systems case study," a book companion CD contains all the m file, simulink module)

虽然奇异值分解（SVD）和特征值分解（EVD的）是行之有效的，可以通过先进的设施设备先进的算法，它不是通常所说，有一个内在的迹象，可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案，标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体，但它有它自身的定位和实际意义的选择方向，其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )

Analytical solution to scattered field of EM wave via MoM.

信号为两个正弦信号加高斯白噪声，各正弦信号的信噪比均为10dB，长度为N，信号频率分别为 和 ，初始相位 ，取 ， 取不同数值：0.3，0.25。 为采样频率。分别用Levinson递推法和Burg法进行功率谱估计，并分析改变数据长度、模型阶数对谱估计结果的影响。(Signal into two sinusoidal signals applied Gaussian white noise, the SNR of each sinusoidal signals are 10dB, a length of N, respectively, and the signal frequency, initial phase, take, take different values: 0.3,0.25. It is the sampling frequency. Respectively Levinson recursion method and Burg method for power spectrum estimation, and change the length of the data analysis, the impact of model order estimation result spectrum.)