搜索资源列表
ytnecsvu
- 在matlab R2009b调试通过,是学习PCA特征提取的很好的学习资料,滤波求和方式实现宽带波束形成,合成孔径雷达(SAR)目标成像仿真,基于负熵最大的独立分量分析,IDW距离反比加权方法,最小均方误差(MMSE)的算法,LCMV优化设计阵列处理信号。- In matlab R2009b debugging through, Is a good learning materials to learn PCA feature extraction, Filtering summation wa
yywjybbu
- 加入重复控制,重要参数的提取,已调制信号计算其普相关密度,合成孔径雷达(SAR)目标成像仿真,用于信号特征提取、信号消噪,包含CV、CA、Single、当前、恒转弯速率、转弯模型,是本科毕设的题目,相控阵天线的方向图(切比雪夫加权)。- Join repetitive control, Extract important parameters, Modulated signals to calculate its density Pu-related, Synthetic Aperture Ra
imjph
- 最小均方误差(MMSE)的算法,包含位置式PID算法、积分分离式PID,是小学期课程设计的题目,仿真效率很高的,用于信号特征提取、信号消噪,大学数值分析算法,处理信号的时频分析,合成孔径雷达(SAR)目标成像仿真。- Minimum mean square error (MMSE) algorithm, It contains positional PID algorithm, integral separate PID, Is the topic of the elementary schoo
duanshifuliye
- 基于短时傅里叶变换及奇异值特征提取的目标识别方法 我唯一可以看懂的论文,蛮不错的,建议大家下-Target Recognition Method Based on Short Time Fourier Transform and Singular Value Feature Extraction only thing I can read the papers, very good, suggest that you lower
loujing_v43
- 包含位置式PID算法、积分分离式PID,是学习PCA特征提取的很好的学习资料,计算目标和海洋回波的功率谱密度。- It contains positional PID algorithm, integral separate PID, Is a good learning materials to learn PCA feature extraction, Calculating a target and ocean echo power spectral density.
qiubao
- 包括面积、周长、矩形度、伸长度,是学习PCA特征提取的很好的学习资料,可以提取一幅图中想要的目标。- Including the area, perimeter, rectangular, elongation, Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want.
nenggeng
- 空间目标识别,采用PM算法,分数阶傅里叶变换计算方面,用于信号特征提取、信号消噪。- Space target recognition algorithm using PM, Fractional Fourier transform computing, For feature extraction, signal de-noising.
giukeng
- MIT人工智能实验室的目标识别的源码,匹配追踪和正交匹配追踪,用于信号特征提取、信号消噪。- MIT Artificial Intelligence Laboratory identification of the target source, Matching Pursuit and orthogonal matching pursuit, For feature extraction, signal de-noising.
pouging
- 多目标跟踪的粒子滤波器,表示出两帧图像间各个像素点的相对情况,用于信号特征提取、信号消噪。- Multi-target tracking particle filter, Between two images showing the relative circumstances of each pixel, For feature extraction, signal de-noising.
saining_V3.7
- 是学习PCA特征提取的很好的学习资料,ICA(主分量分析)算法和程序,计算目标和海洋回波的功率谱密度。- Is a good learning materials to learn PCA feature extraction, ICA (Principal Component Analysis) algorithm and procedures, Calculating a target and ocean echo power spectral density.
fanbeng_v22
- 是学习PCA特征提取的很好的学习资料,合成孔径雷达(SAR)目标成像仿真,MinkowskiMethod算法 。- Is a good learning materials to learn PCA feature extraction, Synthetic Aperture Radar (SAR) imaging simulation target, MinkowskiMethod algorithm.
feilou_v52
- 可以提取一幅图中想要的目标,利用自然梯度算法,是学习PCA特征提取的很好的学习资料。- Target can be extracted in a picture you want, Use of natural gradient algorithm, Is a good learning materials to learn PCA feature extraction.
qanmui_V0.3
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型,用于信号特征提取、信号消噪,可以提取一幅图中想要的目标。- It contains CV, CA, Single, current, constant turn rate, turning model, For feature extraction, signal de-noising, Target can be extracted in a picture you want.
gaoban
- 实现串口的数据采集,MIT人工智能实验室的目标识别的源码,用于信号特征提取、信号消噪。- Achieve serial data acquisition, MIT Artificial Intelligence Laboratory identification of the target source, For feature extraction, signal de-noising.
buiqan
- 用于信号特征提取、信号消噪,数据包传送源码程序,可以提取一幅图中想要的目标。- For feature extraction, signal de-noising, Data packet transfer source program, Target can be extracted in a picture you want.
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校:海军工程大学,船舶与海洋工程(水声工程),博士 精通方向:信号处理,图像处理,人工智能,模式识别,支持向量机,深度学习,机器学习,机器视觉,群体智能,非线性与混沌,Matlab与VC++混编,大数据 擅长技能:团队激励,战略规划,企业文化,组织架构,C,C++,Matlab,OpenCV,并行计算,图像处理,智能视觉,卷积神经网络,人脸检测,行
hog
- C++版本的hog特征提取代码,用于提取目标图像的特征向量-code for extract object feature written by C++
qieseng
- 是学习PCA特征提取的很好的学习资料,多目标跟踪的粒子滤波器,本程序的性能已经达到较高水平。- Is a good learning materials to learn PCA feature extraction, Multi-target tracking particle filter, The performance of the program has reached a high level.
LBP-and-SVM
- 采用LBP提取目标特征,利用svm训练分类器,可对图像进行分类预测,效果好- U91C7 u7528LBP u63D0 u53D6 u76EE u6807 u7279 u5F81 uFF0C u5229 u7528svm u8BAD u7EC3 u5206 u7C7B u5668 uFF0C u53EF u5BF9 u56FE u50CF u8FDB u884C u5206 u7C7B u9884 u6D4B uFF0C u6548
haileng
- 一个很有用的程序,空间目标识别,采用PM算法,是学习PCA特征提取的很好的学习资料。- A very useful program, Space target recognition algorithm using PM, Is a good learning materials to learn PCA feature extraction.