golden

simple 8qam modulator with rcos filter with demodulator

matlab教程，是matlab的基础教程的书上代码。(matlab tutorial matlab Essentials book code.)

初学雷达信号仿真的同学们可以好好看看。应该说是最基础 里面有MATLAB程序。写的比较好，对雷达发射信号有个很好的理解，以及和脉冲压缩的思想。同时也附有matlab程序。 内容提要： 雷达工作原理 线性调频（LFM）信号 LFM脉冲的匹配滤波 matlab仿真结果(Radar signal simulation of beginner students to have a look. Should say is the foundation which are MATLAB program. Write better, on the radar transmit signal to have a good understanding, and pulse compression of ideas. At the same time with MATLAB procedures.Abstract:The radar working principleLinear frequency modulated ( LFM ) signalLFM pulse matching filterMatlab simulation results)

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.)

matlab的PCA变换的程序，实现图像数据的PCA变换(PCA translate)

说明：  基于长记性特征的时间序列预测模型，很好用，准确度优于普通神经网络，我自己一直在用(Characteristics based on long memory time series forecasting model, the good, the accuracy is better than an ordinary neural network, I have been using)

说明：  高斯噪声下的8psk误码率检测与理论值比较(Gaussian noise of 8PSK BER detection compared with the theoretical value)

本作品基于matlab与vc++混合编程的一个语言信号处理平台，实现了matlab与vc++的接口通信，利用matlab强大的语言信号处理能力，再结合c++语言的强大的算法描述能力，两者取长补短，取得了很好的效果(This work is based on the matlab and vc++ mixed programming, a language signal processing platform, the matlab and vc++ interface communication, use of matlab strong language signal processing capabilities, combined with c++ language' s powerful description of the algorithm ability to both learn from each other, made good results)

E2LSH代码最全面的介绍，里面详尽的介绍了每一个函数的作用(E2LSH code for the most comprehensive introduction, which describes in detail the role of each function)

用Matlab绘制股市图形范例，含具体步骤说明(draw figure of stock market with Matlab)