资源列表
bb
- color image watermarking using DCT and DWT
语音增强算法，谱减法、小波变换
- 使用matlab语言实现的语音增强算法，包括谱减法以及小波变换的实现，对理解原理有很好的作用。(Voice Enhancement Algorithm written using matlab scr ipts, including spectral subtraction and wavelet transform implement.)
小波变换源代码
- 关于小波变换的源程序-on wavelet transform source
Mechanical-fault-diagnosis-method
- 经验小波变换(EWT)是一种新的自适应信号分解方法, 该方法继承了EMD 和小波分析方法的各自优点, 通过提取频域极大值点自适应地分割傅里叶频谱以分离不同的模态, 然后在频域自适应地构造带通滤波器组从而构造正交小波函数, 以提取具有紧支撑傅立叶频谱的调幅-调频(AM-FM)成分。本文将该方法引用到机械故障诊断中, 提出了一种基于经验小波变换的机械故障诊断方法, 并与EMD方法进行了对比分析。仿真结果表明, 经验小波变换方法明显优于EMD方法, 能有效地分解出信号的固有模态。与EMD 相比较, 该
sac_v59.48_linux.tar
- sac 地震分析处理软件，可实现地震数据的预处理、互相关、叠加等操作，可惜没有可视化界面-sac seismic analysis software, to achieve the pre-processing of the seismic data, cross-correlation, and stack, and unfortunately there is no visual interface
9and11
- 《VC++小波变换与工程实践》一书中第九章和第十一章所附源码，小波变换分形和视频解码-" VC++ Wavelet Transform and Engineering Practice," a book chapter IX and XI annexed source wavelet transform of fractal and video decoder
SAR
- 在实数域 ,对称、 正交的紧支集非平凡单小波基不存在 ,而多小波把紧支集，对称性、 正交性完美地结合在一起 ,使小波理论从标量扩展到矢量范畴。利用上述特点将多小波变换应用于 SAR 图像压缩。-In the real fields, symmetric, orthogonal set of nontrivial compactly supported wavelet basis does not exist alone, but more than the compact support wav
Desktop
- 实现心电信号的去噪处理以及波形变化，提取信号周期，同时标记波形的起始点和结束点-Denoising ECG waveform changes, signal extraction cycle, at the same time mark waveform start and end points
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
jasper-1.701.0.tar
- jasper最新版本，可实现jpeg2000,拥有最新支持库。-Jasper latest version, can be achieved jpeg2000, with the latest support library.
xiaobofenxi
- 一篇关于小波变换的好文章，希望对学习小波变换的人有帮助
Wavelets-in-Medical-Image-Processing
- Wavelet transforms and other multi-scale analysis functions have been used for compact signal and image representations in denoising, compression and feature detection processing problems for about twenty years. Numerous research works have proven th