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Palm
- 自己做的掌纹识别小软件，呵呵， 有灰度处理、图象滤波、HARRIS角点检测、小波分解。提取热区，数学生态学等功能-own small palm print recognition software, Oh, gray processing, image filtering, detection angle HARRIS, wavelet decomposition. Heat extraction zone, the function of mathematical ecology
program
- 我的本科毕业设计程序，包括了基于脊波小波分解和整数小波分解的小目标识别。-My undergraduate graduate design program, including the ridge wave based on wavelet decomposition and integer wavelet decomposition of small object recognition.
EMD-Toolbox
- EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的
63535316jiqishijue
- 视频文字识别在视频分析与检索中有着重要作用,该算法对字幕图像进行N层小波分解,获得该视频文字的低频分量,再借助相似性度量方法实现视频文字的识别。-Video character recognition in the video analysis and retrieval plays an important role in the algorithm of subtitles images N layer wavelet decomposition, which is low-frequenc
Neural
- matlab 编写的小波分解程序,进行模式识别-the preparation of the wavelet decomposition matlab procedures, pattern recognition
palm
- 自己做的掌纹识别小软件，呵呵， 有灰度处理、图象滤波、HARRIS角点检测、小波分解。提取热区，数学生态学等功能-own small palm print recognition software, Oh, gray processing, image filtering, detection angle HARRIS, wavelet decomposition. Heat extraction zone, the function of mathematical ecology
A_Study_og_Face_Recognition_Methods_Baced_on_Wavel
- 针对灰度图像，提出一种基于知识的人脸检测方法。 提出了一种给予支持向量机的人脸检测方法。 提出了一种基于小波分解的LDA人脸识别方法。 提出了一种基于小波和DCT的人脸识别方法。 提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。 -For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wa
FaceRecognitionBasedonWaveletTransform
- 基于小波变换的人脸识别代码本代码对图像进行小波分解，然后又用最近邻方法实现了图像的识别。-Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!
wt_pca
- matlab实现的小波分解和pca结合的人脸识别算法，识别率较好-matlab implementation of wavelet decomposition and pca combination of face recognition algorithms, a better recognition rate
jchshibie
- 支持向量机（SVM）是一种基于超平面分类的新的学习方法，具有很强的泛化能力。研究了支持向量机的学习机理，以及实现支持向量机的序贯最小优化算法（SMO），并用来对舰船图像进行识别。首先将待识别目标进行二维小波分解，获取不同尺度下的小波系数，然后对其进行主元分析，得到的主元分量作为支持向量机的特征量输入。实验结果表明，该方法具有良好的分类性能。-Support Vector Machine (SVM) is a hyperplane-based classification of new learn
Average-based-on-wavelet-decomposition-and-azimuth
- 基于小波分解与方位角平均HRRP的SVM目标识别方法Average based on wavelet decomposition and azimuth of SVM target recognition HRRP-Average based on wavelet decomposition and azimuth of SVM target recognition HRRP
Clasgnition
- 基于小波分解和分类的人脸识别Classification based on wavelet decomposition and face recognition-Classification based on wavelet decomposition and face recognition
local-binary-pattens
- LBP人脸识别：基于对小波分解和局部二进制模式(LBP)分析，提出了一种多级LBP直方图的序列特征(M—HSLBP)的提取方法。-LBP Face Recognition: Based on the wavelet decomposition and local binary pattern (LBP) analysis, a multi-stage sequence of LBP histogram features (M-HSLBP) extraction method.
Wcognition
- 小波分解和鉴别共同矢量的人耳识别Wavelet decomposition and identification of a common vector Ear Recognition-Wavelet decomposition and identification of a common vector Ear Recognition
xiaobofj
- 小波分解用在信号识别上面。所用信号有，单载波信号和OFDM信号以及另一种多载波信号WPM。对做信号处理和识别方面的朋友会很有帮助。-Wavelet decomposition used in the signal recognition above. Signals are used, single-carrier signals and OFDM signals, and other multi-carrier signal WPM. Do signal processing and iden
Noise-estimation-in-wavelet-domain
- 对含噪声的图像进行识别和估计，通过小波分解，在频域中完成对图像的识别，判断是椒盐噪声还是高斯噪声，并对参数的值进行估计。-Identify and estimate noisy images, through the wavelet decomposition in the frequency domain to complete the image recognition to determine the salt and pepper noise or Gaussian noise, and
xiaobobp
- 小波包分解及bp神经网络训练程序，可用于进行模式识别-bp neural network training program, can be used for pattern recognition
小波分解+MSE熵+特征提取
- 通过小波四层分解，获取脑电信号的四个波形，之后运用多变量多尺度熵计算综合MMSE，为脑电信号识别做基础(After four layers of wavelet decomposition, four waveforms of EEG signals are acquired, and then the MMSE is calculated by using multivariable and multi-scale entropy, which is the basis of EEG reco
基于小波包提取轴承故障
- 基于小波包变换对信号进行分解，提取机器轴承故障的特征信号进行损伤识别，(The signal is decomposed based on wavelet packet transform, and the characteristic signals of machine bearing faults are extracted to identify the damage,)
7362561
- 自己编的使用小波实现的纹理图像分割,具体过程是先对图像进行三级小波分解(Of their use of wavelet texture image segmentation, the specific process is first to three-level wavelet decomposition image)