搜索资源列表
345
- 心电信号处理和特征信息提取方法的研究及心电工作站的研制-Ecg signal processing and feature information extraction method of research and development of ecg workstation
2
- 步态识别论文,对目标检测方法进行了分析,提出了在HSL颜色模型空间中,利用时间域中值滤波算法构建背景模型,采用背景减除法实现人体上肢和下肢关节点的检测,采用闽值分割、形态学滤波和颗粒去除操作对关节点的图像进行二值化处理,为后续相关特征的提取做好了准备。 -Gait identification papers, for target detection methods are analyzed, presented at the HSL color space model, using med
gongsheng
- Verilog实现共生矩阵的计算和特征量提取-Verilog realize the co-occurrence matrix calculation and feature amount extraction
AdaBoostFace
- 基于adaboost的正面人脸检测 通过对haar特征的提取来进行训练与识别-face detection by adaboost
Image-Stitching
- 基于SIFT特征的全景图像拼接 主要分为以下几个步骤: (1) 读入两张图片并分别提取SIFT特征 (2) 利用k-d tree和BBF算法进行特征匹配查找 (3) 利用RANSAC算法筛选匹配点并计算变换矩阵 (3) 图像融合 -Image Stitching
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.
visual-saliency
- 提出一种利用视觉显著性对图像进行分割的方法。首先提取图像的底层视觉特征,从局部显著性、全局显著性和稀少性3个方面计算各特征图像中各像素的视觉显著性,得到各特征显著图;对各特征显著图进行综合,生 成最终的综合显著图。然后对综合显著图进行阈值分割,得到二值图像,将二值图像与原始图像叠加,将前景和背景分离,得到图像分割结果-It presents a significant advantage of visual image segmentation method. First, extract
SIFT
- SIFT是由UBC(university of British Column)的教授David Lowe 于1999年提出, 并在2004年得以完善的一种检测图像关键点(key points , 或者称为图像的interest points(兴趣点) ), 并对关键点提取其局部尺度不变特征的描绘子, 采用这个描绘子进行用于对两幅相关的图像进行匹配(matching)。 目前, SIFT可以说是所有图像局部特征描述特征子 中最火的一个了。-SIFT was developed by David L
ExtinctionProfiles
- 一种新的高光谱图像分类方法,采用形态学坡面方法提取特征,获得图像的空间特征,从而提高分类精度。-Extinction Profiles for the Classification of Remote Sensing Data
vgyxv
- 小波包分析提取振动信号中的特征频率,应用小区域方差对比,程序简单,真的是一个好程序。- Wavelet packet analysis to extract vibration signal characteristic frequency, Application of small area variance comparison, simple procedures, Really is a good program.
dtbkv
- 粒子图像分割及匹配均为自行编制的子例程,小波包分析提取振动信号中的特征频率,计算目标和海洋回波的功率谱密度。- Particle image segmentation and matching subroutines themselves are prepared, Wavelet packet analysis to extract vibration signal characteristic frequency, Calculating a target and ocean echo po
paoging_v86
- 小波包分析提取振动信号中的特征频率,算法优化非常好,几乎没有循环,真的是一个好程序。- Wavelet packet analysis to extract vibration signal characteristic frequency, Algorithm optimization is very good, almost no circulation, Really is a good program.
ting-V4.5
- 窗函数法设计一个数字带通FIR滤波器,小波包分析提取振动信号中的特征频率,采用波束成形技术的BER计算。- A window function design FIR digital band-pass filter, Wavelet packet analysis to extract vibration signal characteristic frequency, By applying the beam forming technology of BE.
munfanfui
- 小波包分析提取振动信号中的特征频率,欢迎大家下载学习,有循环检测,周期性检测。- Wavelet packet analysis to extract vibration signal characteristic frequency, Welcome to download the study, There are cycle detection, periodic testing.
3342
- 包含特征值与特征向量的提取、训练样本以及最后的识别,匹配追踪和正交匹配追踪,滤波求和方式实现宽带波束形成。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Matching Pursuit and orthogonal matching pursuit, Filtering summation way broadband beamforming
tanmingfen
- 解耦,恢复原信号,主要是基于mtlab的程序,小波包分析提取振动信号中的特征频率。- Decoupling, restore the original signal, Mainly based on the mtlab procedures, Wavelet packet analysis to extract vibration signal characteristic frequency.
nd601
- 包含特征值与特征向量的提取、训练样本以及最后的识别,时间序列数据分析中的梅林变换工具,计算一维光子晶体的透射特性和反射特性。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Time series data analysis Mellin transform tool, Calculated transmission characteristi
fun_ge36
- matlab实现了五类灰色关联度模型的计算,包含特征值与特征向量的提取、训练样本以及最后的识别,利用matlab写成的窄带噪声发生。- matlab implements five gray correlation degree computing model, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Using matlab writt
nd565
- 均值便宜跟踪的示例,小波包分析提取振动信号中的特征频率,相关分析过程的matlab方法。- Example tracking mean cheap, Wavelet packet analysis to extract vibration signal characteristic frequency, Correlation analysis process matlab method.
2106
- 包含特征值与特征向量的提取、训练样本以及最后的识别,该函数用来计算任意函数的一阶偏导数(数值方法),基于matlab平台实现。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, This function is used to calculate the arbitrary function of the first order partial