NEWTON

有关“高光谱遥感图像的小波去噪方法”的文章！写的不错(Hyperspectral Imagery Denoising Method Based on Wavelets)

说明：  数值方法和MATLAB实现与应用.zip(numerical methods and MATLAB and applications. Zip)

说明：  将源码中的地址目录改成所要分析的数据（数据可以使txt格式的），在MATLAB中运行就可以分析出数据的时域和频域图像，自相关互相关函数，以及功率谱图像(The source address in the directory into which to analyze the data (data can txt format), run in MATLAB can analyze the data in time domain and frequency domain image, from the relevant cross-correlation function, and the power spectrum image)

隔振 减震 原理 描写了隔振方面的理论并且通过几个例子描述了简谐振动(The principle of isolation damping describe the isolation theory and describe a few examples of a simple harmonic motion)

Generation of a Signals

用toplitze 矩阵重构法实现相干信源来波方向估计(using the method of matrix reconsructing to realize the estimation of DOA of coherent singnal)

本文件对PID参数kp,ki,kd进行寻优，以ITAE作为指标函数。 PSO 文件中有详细的参数设置和寻优过程 GA寻优与PSO寻优作为对比出现 figure1展示了随着迭代次数的变化，适应度函数的收敛情况 figure2展示了kp,ki,kd的迭代情况 ht 文件是用来画图的 问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is used as the index function. PSO file has detailed parameter settings and optimization process GA optimization and PSO optimization as a contrast appear Figure1 shows the convergence of fitness function as the number of iterations changes Figure2 shows the iterations of KP, Ki, and KD The HT file is used for drawing The problem solving idea.Pdf briefly introduces the process of particle swarm optimization)

(median) Non-Linear Filtering of Images.

粒子群算法的寻优算法，算法比较基础，初学者可以很好的看懂(Optimization algorithm of particle swarm optimization)

EasyEnsemble和BalanceCascade是两类不平衡数据集的学习方法(EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while maintaining the fast training speed of under-sampling. )