palmrec

主要介绍MATLAB概率统计计算经典30例，非常实用。(Introduces MATLAB 30 cases of classical probability and statistics calculations, very practical.)

为了能结合Java和Matlab两者的优点，构造功能更加强大的科学计算环境，对如何进行Java和Matlab混合编程进行了研究，首先介绍了Java调用Matlab函数的基本方法.(In order to combine the advantages of both Java and Matlab construct more powerful scientific computing environment, how to mix Java and Matlab programming studied, first introduces the basic Java method call Matlab function.)

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.)

车辆类型识别，简单的车辆模型识别技术，通过交通灯来检测一条道路上车辆的多少(trafficpatterns- a simple model of vehicular traffic on four roads all leading to an intersection controlled by a traffic light. It turns green for each of the four paths with specified durations. Tweak the traffic light durations to study how much traffic builds up on the different paths.)

matlab编程基础，介绍matlab编程语言的ppt，方便matlab学习(matlab Programming on the matlab programming language ppt, easy to learn matlab)

simulink基础的教学幻灯片，为matlab-simulink初学者提供帮助(simulink-based teaching slides for beginners matlab-simulink help)

自由空间E和H场的相位差和振幅衰落，可以显示波形。场特性，方向图，增益等(Free-space E and H field phase and amplitude of the decline can display waveforms. Market identity, direction map, gain, etc.)

阵列信号处理中，能够识别空间多信号源的方向(Array signal processing, multiple sources to identify the direction of space)

用有效折射率法计算长周期光纤光栅的透射光谱情况，即是通过有效折射率算法，找出损耗峰（共振峰）。(Simulate transmission spectrum of LPFG via using effect refractive index algorithm. )

彩色噪声图像的curvelet基下的增强，高斯白噪声，显示不仅去噪且增强效果好(Color noise images curvelet based enhancement under the Gaussian white noise, showing not only a good denoising and enhancement)