DSP_using_matlab

Image Extr and Image matlab program helpful

应用简正波理论求解下列声场：如下图所示波导模型，上层为均匀水层，其厚度为100m，声速为1500m/s；下层为硬质均匀海底，海面和海底均平整。点声源位于30m深处，辐射声波频率为25Hz，编程计算10m和90m深度上的传播损失，分析其差别。(The normal wave theory is applied to solve the following sound fields: the waveguide model shown in the following figure shows that the upper layer is a uniform water layer with a thickness of 100m and a sound velocity of 1500m/s; the lower layer is a hard uniform seabed with smooth surface and seabed. The point source is located at the depth of 30m and the frequency of radiated sound wave is 25Hz. The propagation loss at the depth of 10m and 90m is calculated by programming, and the difference is analyzed.)

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.)

model of 8-bit Pipeline ADC

简单的卡尔曼工具箱，易于上手，主要包括源代码，但不包含例程，自己做了写注释。(simple KALMAN toolbox，easy to understand and revise,include some nessesary remark according to application.)

utiliti applications

该程序中包含了小波包分解和重构程序、单尺度分解、多尺度分解等，还有一些试验数据，对初学者有很大的帮助。(The program includes a wavelet packet decomposition and reconstruction program, a single scale decomposition, multiscale decomposition, there are some experimental data, for beginners is a great help.)

this is to code stbc simulation

基于matlab的BOC信号的自相关函数，阶数n可以自定义，正余弦相位也可以自定义；CBOC的自相关函数程序(MATLAB based on, BOC_ACF, n_order,CBOC_ACF)

在VC++环境下，利用Com组件实现Vc和Matlab混合编程案例(Vc and Matlab with com)