资源列表
Design_of_Wavelet_Transform_source_code
- 小波变换程序源码设计Design of Wavelet Transform source code-Transform source code design Design of Wavelet Transform source code
gabor_filter
- 实现对图像的gabor小波变换，利用了opencv的函数库，可实现方向和尺度等多项选择。-Achieve image gabor wavelet transform, using the opencv function library, enabling the direction and scale and many other options.
SLEP
- 非常强大的稀疏性分析的工具包，提供了多种稀疏性分析的工具，是研究的有效助手！-Very powerful tool for analysis of sparse package, to provide a variety of sparse analysis tool is an effective research assistant!
wavelet
- 小波变换和离散时间域的多分辨率分析。是学习信号处理的号资料-Wavelet transform and discrete multi-resolution time domain analysis. Number of learning data signal processing
2weijingdianxiaobobianhuan
- 注意完成2维小波变换，希望对大家有所帮助，互相学习探讨一下。-Note that the completion of two-dimensional wavelet transform, we want to help, learn from each other explore.
WaveletTransformTechnologyinEngineering
- 小波变换技术与工程实现 随书光盘 vc-Wavelet transform technology and engineering to achieve .CD in the book
highfrequencyspectrumanalysis
- 现代信号处理技术高阶谱时频分析与小波变换 电子书 超星版-Modern signal processing ,high frequency spectrum analysis, wavelet transform.eBook
VC_programming_wavelet_transform_program_source.ra
- VC编程实现小波变换程序源码VC programming wavelet transform program source-VC programming wavelet transform program source
wavedel
- 小波变换处理图像，打开图像进行小波变换和发变换-Wavelet transform image processing, open the image using wavelet transform and the hair transformation
WaveletTransform
- 本文提出一种基于方向提升小波变换的多描述图像编码方法,以避免压缩图像在互联网和无线网络环境下因数据包传输出错或丢失而导致的图像质量严重下降。-In this paper, the direction of lifting wavelet transform based multiple descr iption image coding method, in order to avoid compression of images on the Internet and wireless net
Wavelet_Denoise
- 小波去噪的几篇论文 Automatic identification and Removal of ocular artifacts from EEG using Wavelet transform 小波去噪理论及MATLAB实现研究 小波分析在信号降噪处理中的应用 小波软阈值滤波在信号去噪中的有效性研究-Wavelet denoising of several papers Automatic identification and Removal of ocular artif
WAVEFORM-ALL-ANALYSE5
- VC++编程实现对波形数据的波形分析，频谱分析, 包括各种滤波，很有参考价值-VC++ programming on the waveform data, waveform analysis, spectrum analysis, including filtering, a good reference