毕设时的深度机器学习MATLAB程序

著名的子空间分离自适应算法PASTD的MATLAB源代码(famous space separation adaptive algorithm PASTD MATLAB source code)

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

本文基于matlab开发环境，利用鱼群算法对30节点的电网进行无功优化(Reactive Power Optimization Based on fish swarm algorithm in 30 node grid)

OCR中英文段落的提取、分割，最终得到英文字符(Extracting each character from image document. It is relative to OCR.)

针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)

解决布拉格光纤光栅波长解调问题的粒子群算法，matlab实现(Particle swarm algorithm to solve the problem of fiber Bragg grating wavelength demodulation, matlab achieve)

单自由度轴向磁悬浮轴承的Simulink模型，.m文件为双气隙单自由度轴向磁轴承的建模文件，建模采用磁路法。 搞磁悬浮控制的可以控制律的设计参考。(Simulink model of single-degree-of-freedom axial magnetic bearing and. m file are the model files of double-air-gap and single-degree-of-freedom axial magnetic bearing. The magnetic circuit method is used in the model building. The design reference of the controllable law for magnetic levitation control is given.)

说明：  通过布谷鸟群算法对设定的多个目标进行优化，并最终获得分布式电源的最优选址定容(Through the CUCKOO swarm algorithm to optimize the set of multiple objectives, and finally obtain the optimal location of distributed generation capacity)

运动目标的检测是视频处理过程中后续跟踪技术的基础,其检测结果的好坏直接关系到能否跟踪到运动目标及跟踪准确度问题。运动目标的检测就是从机器视觉系统获取的序列图像中把前景,运动,目标分割提取出来的过程。本文描述了机器视觉中运动目标检测的主要方法?介绍了其中背景减除法的几种典型算法的原理、特点、背景差分法的基本流程?主要包括四个步骤为,预处理、背景建模、目标检测、后处理。然后在matlab环境下运用背景减除算法完成了视频中运动目标的检测,并对检测结果图像进一步处理.(Moving target detection is a follow up video processing technology based on the test results is directly related to the ability to track moving targets and tracking accuracy. Moving target detection prospects, movement, object segmentation extracted from the sequence of images acquired by the machine vision system. This paper describes the main method of moving target detection machine vision ? introduced the principle of which several typical algorithms for background subtraction method, the basic flow characteristics, background difference method ? mainly includes four steps, preprocessing, background modeling target detection, post-processing. Use background subtraction algorithm in Matlab environment complete video moving target detection, and detection results of images for further processing.)

Hi all. Here is a source code for Esprit Algorithm. Enjoy it