bispecd

三维的FDTD模拟电磁场仿真程序。采用PML边界。(Three-dimensional FDTD simulation of electromagnetic field simulation program. Using PML boundary.)

由于实际信道中的多径和阴影效应，单个认知用户频谱感知的性能受到影响，因此需要靠不同用户间的协同频谱感知来对抗多径和阴影效应。本设计要求在文中采用一种协作机制，即两用户进行协作频谱感知，提高主用户的检测率，减少检测时间，并且得到捷变增益。要求给出仿真结果。(As the actual channel of the multi-path and shadow effect, a single user of spectrum sensing of cognitive performance are affected, it needs to depend on collaboration between different users of spectrum sensing to combat multipath and shadow effects. The design requirements in the text using a cooperation mechanism, namely, two user collaborative spectrum sensing, to improve the detection rate of the primary users, reducing detection time, and get agility gain. Required to give simulation results.)

texture analysis by using ANN

使用matlab编写的，制作gif的小程序，可以更换背景和显示的图片。(Use matlab, making gif small program that can replace the background and display pictures.)

利用QPSK编码方式，实现了MIMO利用MMSE估计方法的性能的评估，评估指标为BER，可直接运行。(QPSK encoding MIMO assessment of the performance of MMSE estimation method, the evaluation index for the BER, and can be run directly.)

在MATLAB中实现用高斯消元法求解线性方程组!(In MATLAB to achieve using Gaussian elimination method for solving linear equations!)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )

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说明：  用MATLAB实现频域平滑滤波以及图像去噪代码6. 计算频率域图像的幅值并进行对数变换，利用’imshow’ 显示频率域图 像； 7. 在频率图像上去除滤波半径以外的数据(置0)； 8. 计算频率域图像的幅值并进行对数变换，利用’imshow’ 显示处理过的 频域图像数据； (6. Calculate the frequency domain image of the amplitude and logarithmic transformation, using imshow show the frequency domain map Like 7. Removal of the image filtering in frequency than the radius of data (set 0) 8. Calculate the frequency domain image of the amplitude and logarithmic transformation, using imshow show-treated Frequency domain image data )

MATLAB6实例教程 _ 郝红伟编著_ - 北京_ 中国电力出版社, 2001年9_0(MATLAB6 tutorial examples _ _ Hao Hongwei edited- Beijing _ China Electric Power Press, 2001 9_0)