test4PAMAWGN

背包问题 贪心法C++实现 功能健康，绝对无毒(Greedy Knapsack Problem C++ Achieve functional health, is absolutely non-toxic)

建立一个简单的BP神经网络，训练，仿真。直接运行程序，很方便(Establish a simple BP neural network training, simulation. Run the program directly, it is convenient)

一个灰色预测GM（1,1）模型可用于一系列的预测问题，可以绘制图形，图形拟合相当好！(A gray prediction GM (1,1) model can be used for a series of prediction problems, you can draw graphics and graphical fit is quite good!)

这本书讲述了认知无线电的发展，以及认知无线电的重要性，是认知无线电的开山之作，里面的理论通俗易懂，容易理解，有很多仿真图形(This book describes the development of cognitive radio, as well as the importance of cognitive radio, cognitive radio for the mountains, which the theory easy to understand, easy to understand, a lot of graphic simulation)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

code for maximum likelihood detection

Toolbox in Matlab for pattern recognition

实现匹配滤波的matlab源代码,比较适合初学者！(Achieve matched filter matlab source code, suitable for beginners!)

实习K——L分析，如有不足之处还请大家指点。进一步完成，给大家使用。(Practice K- L analysis, if the inadequacies also please advice. More complete, for everyone to use. )

Thermal conductivity of quantum dot superlattices--Code for Temperature dependent of in plane