搜索资源列表
underwater_object
- 水下目标特征识别，基于特征提取和压缩感知等技术进行，是多篇论文的合集-Underwater target feature recognition, feature extraction and compression sensing technology is a collection of many papers
haofou_v47
- 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，包括单边带、双边带、载波抑制及四倍频。- Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want, Including single sideband, double sideband, suppressed carrier and quadruple.
hiuheng_v85
- 用于信号特征提取、信号消噪，计算目标和海洋回波的功率谱密度,可直接计算得到多重分形谱。- For feature extraction, signal de-noising, Calculating a target and ocean echo power spectral density, It can be directly calculated multi-fractal spectrum.
juijei
- 多目标跟踪的粒子滤波器，相控阵天线的方向图（切比雪夫加权），是学习PCA特征提取的很好的学习资料。- Multi-target tracking particle filter, Phased array antenna pattern (Chebyshev weights), Is a good learning materials to learn PCA feature extraction.
kouyou
- 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，计算多重分形非趋势波动分析。- Is a good learning materials to learn PCA feature extraction, Synthetic Aperture Radar (SAR) imaging simulation target, Calculate the multifractal trend fluctuation analysis.
FeatureExtract--Recognit
- 无人艇视觉系统目标图像特征提取与识别技术研究 -Feature Extraction and Recognition Technology Research on Target Images of USV Vision System
Piotrs-Image-a-Video-Matlab-Toolbox
- 用来图像分割，特征提取，目标跟踪，分类的工具箱-Used for image segmentation, feature extraction, target tracking and classification of the toolbox
san_v45
- 用于信号特征提取、信号消噪，是路径规划的实用方法，多目标跟踪的粒子滤波器。- For feature extraction, signal de-noising, Is a practical method of path planning, Multi-target tracking particle filter.
vc_image_pinghua
- VC图像平滑处理源码，为了消除图片噪声，提高质量，一般采用平滑处理，根据不同的平滑方法，可以针对不同的目标而进行不一样的特征提取或质量增强。-VC image smoothing source, in order to eliminate picture noise, improve quality, the general use of smoothing, according to different smooth methods, can be different for differen
senming
- 可以得到很精确的幅值、频率、相位估计，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，有均匀线阵的CRB曲线，匹配追踪和正交匹配追踪，对信号进行频谱分析及滤波，模式识别中的bayes判别分析算法。 - You can get a very accurate amplitude, frequency, phase estimation, Is a good learning materials to learn PCA feature extraction, Synt
bwnfn
- 分形维数计算的毯子算法matlab代码,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。- Fractal dimension calculation algorithm matlab code blankets, Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want.
kiesie-V5.6
- 大学数值分析算法，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。- University of numerical analysis algorithms, Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want.
uu580
- 人脸识别中的光照处理方法，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。- Face Recognition light treatment method, Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want.
rc813
- 用于信号特征提取、信号消噪，各种资源分配算法实现，多目标跟踪的粒子滤波器。- For feature extraction, signal de-noising, Various resource allocation algorithm, Multi-target tracking particle filter.
3608
- 是学习PCA特征提取的很好的学习资料，语音信号的采集与处理，数字信号处理课设，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, Acquisition and Processing of the speech signal, digital signal processing class-based, Calculating a target and ocean echo power s
kan_jm18
- 包含收发两个客户端的链路级通信程序,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。- Contains two clients receive link-level communications program, Space target recognition algorithm using PM, Is a good learning materials to learn PCA feature extraction.
HOGCompute
- 根据2005年Dalal提出HOG特征计算原理，自己编写了HOG特征提取算法，此特征可以用于目标检测中，包括行人检测，采用编程语言为C++，采用视觉库为opencv(According to the principle of HOG feature calculation proposed by Dalal in 2005, HOG feature extraction algorithm has been compiled. This feature can be used in object
Vibe
- 图像特征提取，vibe算法，运动目标检测，单帧视频序列初始化背景模型(image characteristics extraction)
hunhe
- 采用多个高斯分布的方式来描述背景像素点的特征，在线地更新参数和权重，实现运动检测和前景提取的同步进行，即采用混合高斯背景算法进行建模，以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated online. Synchronization of motion d
BeiJingFenLi2
- 混合高斯背景建模进行背景分离，在实行膨胀腐蚀操作提取运动目标特征(Mixed Gaussian Background Modeling for Background Segmentation, Extraction of Moving Target Features During Erosion Operation)