kuopinjishu

its matlab code for transmitting 2k code for dvb-t

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.)

小波DWT变换，一般大家是用matlab实现，但是这段程序是用c语言编写。(wavelet dwt)

MATLAB余弦与小波变换在图像压缩中的比较(xuxian.rar)

说明：  自己写的小脑模型与单神经元并行控制程序，适合初学者研究或改进(Write their own models and single-neuron cerebellar parallel control program, suitable for beginners study)

信号检测中采用Bayes准则求最佳判决门限的影响因素观察(Signal detection using Bayes factors observed criteria for the best decision threshold)

扇形模板，一共有七种，扇形处为灰色，其他为白色,可以旋转(sector)

应用sa求解tsp问题，采用matlab7.0编写(Tsp application sa problem solving, the use of the preparation of matlab7.0)

Matlab常用函数简介,包括一些通用命令，基本运算，编程语言结构(Introduction of some Matlab commands)

MATLAB 神经网络用于数字识别源程序(MATLAB neural network for digital identification of the source)