搜索资源列表
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
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
multi_scale_edgedetect
- 利用小波变化对信号的边缘进行检测，方法使通过多尺度积对信号功率谱进行变化-Changes in the signal using the wavelet edge detection method to plot the signal through the multi-scale changes in the power spectrum
wavelet_analysis
- 小波分析工程应用实例代码。小波变换检测故障信号与小波类型的选择；图像多尺度边缘检测算法研究；基于小波图像压缩技术的算法等等实例。-Wavelet analysis of engineering application code. Failure detection signal wavelet transform and wavelet type selection image multi-scale edge detection algorithm wavelet-based image
xiaobogongcheng
- 很实用的小波分析源码，应用于各种工程实际项目中 6.1小波分析263 6.2从傅里叶变换到小波变换266 6.3基于MATLAB的小波快速算法设计271 6.4小波变换检测故障信号与小波类型的选择283 6.5图像多尺度边缘检测算法研究292 6.6小波变换在信号特征检测中的算法研究298 6.7基于小波的信号突变点检测算法研究307 6.8基于小波的信号阈值去噪算法研究313 6.9基于小波图像压缩技术的算法研究320 6.10小波变换图像测试分析331
Research-on-the-Wavelet
- 用于信号去噪中有小波变换实现信号的极大值检测及边缘识别-Wavelet transform for signal denoising realize the great value of the signal detection and edge detection