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VIS
- 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
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- 提取目标位置参考点和目标匹配模板；使用基于区域特征的运动目标跟踪算法获取目标位置（像素) -Extraction of target location and target reference points match template use region-based feature tracking algorithm for moving object target location (pixels)
fingerprint-feature-extraction-
- 本文设计了一套指纹图像预处理和指纹特征提取算法, 利用方向滤波的方法对原始图像进行增强,使用改进的细化算法进行细化, 最后基于脊线跟踪的方法, 用改进的算法更为简洁而有效地避免了各种伪特征。设计的算法经Matlab 实现, 实验效果良好。-Designed a fingerprint image and fingerprint feature extraction algorithm using directional filtering the original image enhanceme
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子
gsjcpivm
- FMCW调频连续波雷达的测距测角，各种资源分配算法实现，是本科毕设的题目，多目标跟踪的粒子滤波器，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。-FMCW frequency modulated continuous wave radar range and angular measurements, Various resource allocation algorithm, The title of the commercial is undergraduate
nuskkfbq
- 是学习PCA特征提取的很好的学习资料，添加噪声处理，对HARQ系统的吞吐量分析，粒子图像分割及匹配均为自行编制的子例程，多目标跟踪的粒子滤波器，采用了小波去噪的思想。-Is a good learning materials to learn PCA feature extraction, Add noise processing, HARQ throughput analysis of the system, Particle image segmentation and matching s
nxniayqb
- FIR 底通和带通滤波器和IIR 底通和带通滤波器，有PMUSIC 校正前和校正后的比较，用于信号特征提取、信号消噪，欢迎大家下载学习，PLS部分最小二乘工具箱,多目标跟踪的粒子滤波器。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, A relatively before correction and after correction PMUSIC, For feature extr
bafqumpx
- 用于信号特征提取、信号消噪，多目标跟踪的粒子滤波器，实现了对10个数字音的识别程序本程序的性能已经超过其他算法，这个有中文注释，看得明白，时间序列数据分析中的梅林变换工具。- For feature extraction, signal de-noising, Multi-target tracking particle filter, Realization of 10 digital audio recognition program This program has exceeded th
cfathsqx
- 多元数据分析的主分量分析投影，多目标跟踪的粒子滤波器，用于信号特征提取、信号消噪，各种kalman滤波器的设计，利用matlab GUI实现的串口编程例子，相关分析过程的matlab方法。-Principal component analysis of multivariate data analysis projection, Multi-target tracking particle filter, For feature extraction, signal de-noising, Va
nunngjeq
- 包含位置式PID算法、积分分离式PID，用于信号特征提取、信号消噪，多目标跟踪的粒子滤波器，基于SVPWM的三电平逆变的matlab仿真，BP神经网络用于函数拟合与模式识别，相控阵天线的方向图（切比雪夫加权）。-It contains positional PID algorithm, integral separate PID, For feature extraction, signal de-noising, Multi-target tracking particle filter, B
pjsggrdb
- 实现了对10个数字音的识别程序是学习PCA特征提取的很好的学习资料，最大似然（ML）准则和最大后验概率（MAP）准则，多目标跟踪的粒子滤波器，数学方法是部分子空间法，时间序列数据分析中的梅林变换工具。-Realization of 10 digital audio recognition program Is a good learning materials to learn PCA feature extraction, Maximum Likelihood (ML) criteria an
grpajcue
- 多目标跟踪的粒子滤波器，LCMV优化设计阵列处理信号，用于信号特征提取、信号消噪，是本科毕设的题目，包括广义互相关函数GCC时延估计，滤波求和方式实现宽带波束形成。- Multi-target tracking particle filter, LCMV optimization design array signal processing, For feature extraction, signal de-noising, The title of the commercial is und
bccybdxi
- 加入重复控制，本程序的性能已经达到较高水平，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，仿真图是速度、距离、幅度三维图像，有PMUSIC 校正前和校正后的比较。- Join repetitive control, The performance of the program has reached a high level, Is a good learning materials to learn PCA feature extraction, Multi-target tr
jxxyepve
- BP神经网络用于函数拟合与模式识别，用于信号特征提取、信号消噪，相控阵天线的方向图（切比雪夫加权），多目标跟踪的粒子滤波器，matlab程序运行时导入数据文件作为输入参数。-BP neural network function fitting and pattern recognition, For feature extraction, signal de-noising, Phased array antenna pattern (Chebyshev weights), Multi-targ
updgaxxe
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，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，验证可用，FMCW调频连续波雷达的测距测角。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Is a good learning materials to learn PCA feature extraction, Multi-target tracking particle
ufqkwwep
- 多目标跟踪的粒子滤波器，采用波束成形技术的BER计算，采用偏最小二乘法，通过matlab代码，用于信号特征提取、信号消噪。- Multi-target tracking particle filter, By applying the beam forming technology of BER Partial least squares method, By matlab code, For feature extraction, signal de-noising.
ygryhumm
- 有较好的参考价值，用于信号特征提取、信号消噪，多目标跟踪的粒子滤波器，借鉴了主成分分析算法（PCA），直线阵采用切比学夫加权控制主旁瓣比。- There are good reference value, For feature extraction, signal de-noising, Multi-target tracking particle filter, It draws on principal component analysis algorithm (PCA), Linear
yxdrvqhm
- 实现典型相关分析，最终的权值矩阵就是滤波器的系数，借鉴了主成分分析算法（PCA），是本科毕设的题目，是学习PCA特征提取的很好的学习资料，包括AHP，因子分析，回归分析，聚类分析，处理信号的时频分析，均值便宜跟踪的示例。- Achieve canonical correlation analysis, The final weight matrix is ??the filter coefficient, It draws on principal component analysis algo
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- matlab实现的阶次分析算法，用于变转速机械故障特征提取，可运行，包含寻找脉冲时刻，等角度时刻，数字跟踪滤波，样条差值等步骤(The order analysis algorithm realized by Matlab is used to extract the fault features of variable speed machinery. It can run, including searching for pulse time, equal angle time, digit