资源列表
waveletanalysisandapplication
- 小波分析及其应用，详细介绍了小波变换原理和基本方法，还重点介绍小波变换在语音和图像处理、信号检测、多尺度边缘提取等领域的应用。-Wavelet analysis and applications, described in detail wavelet transform principles and basic methods, but also focuses on Wavelet Transform in the voice and image processing, signal det
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
signal_denoise_based_wavelet
- 一个基于小波阈值的信号处理程序，通过自适应阈值方式抑制信号噪声-A threshold based on wavelet signal processing procedures, through the adaptive threshold signal noise suppression methods
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
PCM_model
- pcm的编码与译码，适合通信专业的同学，代码很清楚明了-pcm encoding and decoding for communications professional students, the code was clear and
wavelet
- VC++编写的小波变换源码，可以实现小波分解与重构算法-VC++ Prepared wavelet transform source code, you can achieve the wavelet decomposition and reconstruction algorithm
toolbox_wavelets
- 小波变换目前在各行各业都有应用，该小波变换工具箱，是一个外国研究所的研究成果，里面有其开发的各种小波工具，包括双正交波，多小波，等。在图像处理、信号处理等方面应用广泛-Wavelet transform applications in all walks of life, the wavelet transform toolbox, is a foreign institute of research results, which has its development of a variety
Imageprocessing
- 《VC++图像处理程序设计》第十二章关于小波变换的程序。- VC++ Image processing program design, Chapter XII on the wavelet transform procedure.
wavelet_filter
- 小波滤波器构造和消噪matlab源程序（2个）-Wavelet filter construction and de-noising matlab source (2)
wavelet_creation
- 小波插值与小波构造matlab源程序（3个程序）-Wavelet Interpolation and Wavelet matlab source (3 procedures)
wavelet_max
- 小波模极大值原理在图像边缘提取和信号奇异点检测中的应用-Wavelet Modulus Maxima Principle in Image Edge Detection and Signal Singularity Detection