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wvlt_videodecoding
- 一个小波变换实现视频编解码的源程序。- A wavelet transformation realization video frequency arranges the decoding the source program.
wavelet
- 小波包分析提取振动信号中的特征频率,以及能量谱分析计算-wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis -Extraction of wavelet packet analysis in the vibration signal characteristic frequency, as well as the calculati
sum1all
- 一个毕业程序设计,是用小波和支持向量机对电能质量扰动的识别与分类,主要利用的能量特征。-A graduate program design is the use of wavelet and support vector machines for power quality disturbance recognition and classification, the main characteristics of energy use.
bear
- 这个是直升机齿轮箱故障特征提取的程序。用的是小波变化加上hilbert包络的方法,简单实用,对大型旋转设备的故障检测有很广泛的应用!-This is a Helicopter Gearbox Fault Feature Extraction procedures. Changes using a wavelet plus hilbert envelope method is simple and practical, on large rotating equipment fault detec
pinyu
- 用小波系数提取出音频的频域特征。比如lpc等特征。效果好!-Extracted using wavelet coefficients of the frequency-domain characteristics of the audio. Characteristics such as LPC. Good!
wavelet_code
- 小波降噪,本学期学习小波变换收获不少,呵呵,这个小波降噪比较实用,是Guleryuz写的,收集来和大家分享-Wavelet denoising, wavelet transform of the semester learning a lot of harvest, huh, huh, this more practical wavelet denoising is Guleryuz written, gathered to share
jiyuxiaobobianhuandeyuyintezhentiqu
- 基于不变集多小波的语音特征参数提取研究 用小波变换替代傅立叶变换和梅尔滤波-Based on the invariant set Multiwavelet voice characteristic parameter extraction for research of wavelet transform and Fourier transform alternative Mel filter
phasecongruency2
- 基于log Gabor小波的相位一致图像纹理特征分析-Based on log Gabor wavelet phase consistent image texture analysis
faceRecognitionBasedOnWavelet
- 基于小波变换和神经网络的人脸识别:本论文围绕人脸识别问题对人脸特征提取及识别技术进行了研究。主要有:对人脸识别的研究工作进行了综述;在KL算法的基础上提出了新的基于KL的特征提取方法,克服了KL算法计算量大,计算时间长的缺点,-Based on Wavelet Transform and Neural Network Face Recognition: In this paper, issues surrounding the face recognition feature extractio
wavelet_dec
- 利用小波冗余算法实现图像的高频和低频纹理特征的提取-Redundant algorithm using wavelet implementation of high-frequency and low frequency image texture feature extraction
hhh
- :由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效, 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取, 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性. 在此基础上, 应用 I C A基函数作为滤波器, 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验. 结果表明, 本方法明显优于传统的均值滤波和小波去噪 方法, 为强背景噪声下弱信号的检测提供 了新的途径.-: As many of the t
wavelet_report
- 信号处理是结构健康监测系统一个重要组成部分。小波变换作为有效的信号处理工具能对被分析信号进行更细致分析,获得比傅立叶分析更多的信号特征。将小波分析应用于航空结构材料的结构健康监测中,对检测信号进行时频局部化处理,获得与结构状态相联系的特征。-Signal processing is a structural health monitoring system an important part. Wavelet transform as an effective signal processing
41695066wienerfilter2
- 内容:第4章 图像增强(对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强);第5章 图像复原(逆滤波复原、维纳滤波方法);第6章 图像处理中的正交变换(傅立叶变换、离散余弦变换(DCT)、沃尔什变换、基于特征向量的变换、霍特林(Hotelling)变换、SVD变换、小波变换、Mallat算法);第7章 图像压缩编码(霍夫曼(Huffman)编码、算术编码、游程编码(Run Length Coding)、位平面编码、预测编码、DPCM、-Content: Chapter
st1
- 基于小波和矩的图像字符特征提取方法研 -Image Based on Wavelet and Moments Character feature extraction method and moment of inquiry Image Based on Wavelet Feature Extraction Method for Character study
renlianshibiexiaobosuanfa
- 基于小波变换的加权特征脸识别算法的文献,对做人脸识别论文的同学很有帮助-renlianshibie wavelet algorithm .pdf
Gabor_wavelet1
- 基于gabor小波变换的图像检索程序。有特征提取、特征匹配,以及结果返回。-On gabor wavelet transform based image retrieval process. There are feature extraction, feature matching, as well as the results returned.
fftvq
- 小波变换加VQ语音识别程序。用小波变换来提高语音特征的性能,从而提高VQ算法的识别率-Wavelet transform plus VQ speech recognition program. Using wavelet transform to improve the performance of speech features to enhance the recognition rate of VQ algorithms
20080111
- 有关图像的目标识别:"给出一种基于特征分类辨识的合成孔径雷达图像目标检测方法#用恒虚警和扩展分形方法对3&E图像进行目 标检测后用面积和峰值能量比算子辨识目标和背景杂波!去除一部分虚警!用小波域主成分分析对每个检测窗口内的图 像提取特征向量!用支持向量机对提取得到的特征向量进行分类!辨识目标和背景杂波!完成目标检测#使用&K?3数 据对该方法进行验证和分析!实验结果表明!经过特征分类辨识后!在检测率不变的情况下!虚警数目显著降低# -Related to the image ta
wavefusypca
- 小波融合pca,采用特征级的融合,用于人脸识别。-Wavelet fusion pca, using Feature-level fusion for face recognition.
5
- 借助小波变换在时频分析上的优点,提取地面运动目标的回波信号特征在目标识别中加以运用-With wavelet transform in time-frequency analysis of the advantages of extracting ground moving target echo signal characteristics to be used in target recognition