搜索资源列表
kpc_mm
- Kpca,matlab编写代码,程序,特征提取好方法,值得一看。-Kpca, matlab code, and procedures, good feature extraction method, worth a look.
Speech-Recognition-System
- 本文介绍了基于MATLAB的语音识别系统,包括对语音信号的特征提取,包括语音信号的特征提取,快速傅立叶变换,离散余弦转换,线性预测分析,梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1
PCA_LabView
- 基于LABVIEW 环境编写的PCA程序,可以实时实现数据的特征提取。-LABVIEW-based environment for the preparation of the PCA program, you can achieve real-time feature data extraction.
ecg_r
- 对ecg信号进行预处理,并检测ecg的r波,并进行特征提取,并在图中进行标注-On ecg signal preprocessing and detection of r ecg wave, and feature extraction, and marked on the drawing
ecg_pqst
- 对ecg信号进行预处理,并检测ecg的pqrs波,并进行特征提取,并在图中进行标注-On ecg signal preprocessing and detection of pqrs ecg wave, and feature extraction, and marked on the drawing
rsp
- 对rsp信号进行预处理,并检测rsp的特征点,并进行特征提取,并在图中进行标注-For rsp signal preprocessing and detection feature point rsp and feature extraction, and marked in the drawing
sc
- 对sc信号进行预处理,并检测sc信号的特征点,并进行特征提取,并在图中进行标注-For sc signal preprocessing, and detecting the feature point sc signal and feature extraction, and marked on the drawing
VOICE-BOX
- 语音识别常用工具箱,包括lpc,lpcc等常用的特征提取函数以及vad等。迟早会用到。-Common speech recognition tool,it includes the commonly used features lpc, lpcc and other extraction function and vad like. Sooner or later it will be used.
DTW_V_1_0
- 动态世间规整(DTW)jar包,里面包含了所有包括特征提取mfcc fft enframe 等所有功能,只需输入语言路径即可-Dynamic world of regular (DTW) jar package, which contains all the features extracted include all the features of mfcc fft enframe etc., just enter the path to the language
SURF
- 快速尺度,旋转不变性点特征提取算法,有实例,另附配准程序。-SURF: Speeded Up Robust Features
MFCC.m
- mfcc的特征提取算法-feature extraction
Demo_lraNMF
- 我现在主要研究的是非负矩阵在特征提取方面的工作,上传几个我阅读的外国文献的,书籍源代码,在代码中有相应的文献或综述。我就上传一个low rank NMF的。压缩包里有9个文件。-I now mainly studied non-negative matrix feature extraction work, and upload a few I read foreign literature, books source code, there is a corresponding review
face-recognition
- 人 脸识别技术分 4 个方面:(1)皮肤检测 ,在 图像 中寻找出人 脸 区域,也可 以说是将图像中的背景和人的肤色进行分 离;(2)人脸规范化,即校正人脸在尺度、光照和旋转等方 面的变化;(3)特征提取 ,从人脸图像中映射提取~组能反 映人脸特征的数值表示样本;(4)特征匹配,将待识别人脸 与数据库中的已知人脸比较,得出相关信息。-people face recognition
tezheng
- 图像特征提取,可在MATLAB直接运行,内含文档说明和源代码-Image feature extraction, can be run directly in MATLAB, containing documentation and source code
GLCM-matlab
- 图像检索中的纹理特征;基于共生矩阵纹理特征提取,根据输入图像数据进行计算并返回八维纹理特征行向量-Texture feature in image retri texture feature extraction based on co-occurrence matrix, and then calculate and return eight dimensional texture feature row vector according to the input image data.
11
- 次声信号特征提取与分类识别,使用Labview和matlab算法去实现-sound signal feature extraction
csp
- 用csp对脑电信号就行特征提取的matlab代码-EEG with csp line feature extraction matlab code
SampEn
- 用样本熵对脑电信号就行特征提取的matlab代码-With sample entropy EEG line feature extraction matlab code
JLDATA
- 摘 要:本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗(汉明窗)、端点检测;特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW),研究对象是特定人的语音识别,并在MATLAB平台上实现。为了进行后续研究,首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件,并转化成 “.wav”格式的文件。-Abstract: This thesis
1
- 实现基于形状的图像检索,使用不变矩的特征提取的方法,并对结果进行分析-Implementation shape-based image retri using moment invariants feature extraction, and the results were analyzed