chap_6

STBCQPSK仿真程序,shihechuxuezhe(simulationprogramforSTBCQPSK)

寻找距离某一点最近的几个点，返回对应的点的位置及距离该点的距离(Find a few points closest to a given point , returns the corresponding location of the point and the distance from the point)

说明：  这是关于模糊熵的计算的一个matlab程序，希望能给各位带来帮助。(This is a matlab program about the calculation of fuzzy entropy. I hope it can help you.)

可以地实现偏置码到补码的转换，以函数形式给出(Can achieve bias code to complement the conversion to function given)

几篇过于ESPRIT算法的英文文章,IEEE上的，感兴趣的话可以看看(ESPRIT algorithms are too few English articles, interested can look on the IEEE)

利用MATLAB绘制地形图，一个非常实用的实例。(Topographic maps using MATLAB, a very practical example.)

说明：  深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

最新版本的数学工具的介绍及使用！不错的软件，已经在向vc靠近！欢迎大家使用！(The latest version of the mathematical tools to introduce and use! Good software, have been around to vc! Welcome to use!)

基于matlab的BPSK的高斯白噪声调制解调 相信对大家有用(Based on matlab for BPSK modulation and demodulation of Gaussian white noise, I believe for all of us)

VC++和MATALB混合编程,图象处理(源码)(VC++ and MATALB mixed programming, image processing (source code))