GM_PHD1

Programs for the book Advanced Engineering Mathematics using MATLAB, 2ndEd.

说明：  基于Graph Cut的一种分割方法，比较著名的论文。(Graph Cut based on a segmentation method to compare the famous paper.)

通过用matlab程序设计实现IIR高通数字滤波器。(By using matlab program design of IIR high pass digital filter. )

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.)

利用形态开—闭组合去除信号噪声，效果不错。可以参考。(Use form-closed combination remove a signal noise, the effect is good. Can reference.)

DOA中的空间平滑算法，对于初学者来说是比较好的帮助(spatial smoothing direction of arrival matlab code)

对给定图像裁剪为384×384，对其分别进行傅立叶等变换 。。。——bianhuan.m(For a given image cut to 384 × 384, so its Fourier transform respectively. . .- Bianhuan. M)

INTHIS WE ARE ABLE TO SUMMARIZE fourier analysis application in fingerprint

认知无线电能量检测。虚警概率一定，不同信噪比情况下检测概率不同(Cognitive radio energy detection. Certain probability of false alarm, the probability of detection of different circumstances different SNR)

LMI及鲁棒预测控制工具书，基于matlab编程环境。(LMI and robust predictive control tool, based on matlab programming environment.)