搜索资源列表
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.
guidao
- 通过研究轨道组成及部件，分析能提取出稳定目标特征的轨道部件。首先，在 CCD 获取图像后，对图像进行滤波处理。-With the analysis of pathway components，the steady target characteristic of pathway parts could be extracted．
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.
juiqen_v64
- 计算目标和海洋回波的功率谱密度,用于信号特征提取、信号消噪，pwm整流器的建模仿真。- Calculating a target and ocean echo power spectral density, For feature extraction, signal de-noising, Modeling and simulation pwm rectifie.