搜索资源列表
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基于多特征提取的手写汉字识别算法及其实现.-Feature extraction based on multi handwritten Chinese character recognition algorithm and its implementation.
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经验模态法可以做信号加强、模式识别、特征提取等,本程序是经验模态的matlab实现,-the realization of emd using matlab.it canbe used in the signal denoising ,pattern recognition and feature extraction
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PCA特征抽取与SVM多类分类在传感器故障诊断中的应用PCA feature extraction and SVM multi-class classification in the sensor fault diagnosis-PCA feature extraction and SVM multi-class classification in the sensor fault diagnosis
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基于Radon变换特征提取的步态识别Radon Transform Based Feature Extraction for Gait Recognition-Radon Transform Based Feature Extraction for Gait Recognition
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该文件包含了一些常用的声辐射噪声的特征提取方法,包括波形的包络特征,高阶谱特征,分形维特征,奇异指数特征等。-The document contains some common acoustic feature extraction method of noise, including waveform envelope characteristics, higher order spectral features, characteristic of fractal dimension, si
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glcm feature extraction for mammogram images
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EEG FEATURE EXTRACTION
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脑部CT图像自动诊断系统,包括特征提取和分类。特征采用灰度共生矩阵。-Automatic diagnosis system of brain CT images, including feature extraction and classification.
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EEG signal classification using wavelet feature extraction
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EEG signal classification using wavelet feature extraction
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EEG signal classification using wavelet feature extraction
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EEG signal classification using wavelet feature extraction
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基于Gabor滤波相位特性的人脸特征提取算法程序清单-Extraction Algorithm of Face Feature
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The Principal component analysis, is a standard technique used for data reduction in statistical pattern recognition and signal processing
A common problem in statistical pattern recognition is feature selection or feature extraction. Feature selec
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基于小波变换的心电信号预处理
和PQRST波特征提取-PQRST wave of ECG preprocessing and feature extraction
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将小波变换应用于信号消噪,去除冗余分量后,提取信号主要特征-the wavelet can be applied to the signal denoise and feature extraction
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Gabor滤波器经常被用于形状检测和特征提取,比如增强指纹图像。本代码用matlab实现了一个二维Gabor滤波器。
代码使用如下:
function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta)
from gaborfilter1 with different f(Frequency) and theta(Angle).
for example
f:0,2,4,8,16,32
theta = 0,pi/3,pi/6
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pca又称主成分分析,主要用来提取图像的主要成分,作为特征提取一个重要算法,将其用于人脸识别-pca, also known as principal component analysis, mainly used to extract the main component of the image, as a key feature extraction algorithm, be used in face recognition
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心电信号的采集与处理
频谱分析与特征提取-ECG acquisition and processing of spectrum analysis and feature extraction
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matlab program for feature extraction
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