Wavelet技术，作为信号处理与数据分析的强大工具，以其多分辨率分析能力在图像压缩、噪声去除及故障诊断等领域展现独特优势。掌握Wavelet变换不仅能够帮助工程师们更高效地处理复杂信号，还能在通信工程、生物医学工程等多个高科技领域开辟新的应用前景。本页面汇集了98个精选Wavelet相关资源，从基...
These three articles involves the combination of wavelet and MCTF. MCTF means motion-compensated-time-filter. It makes w...
EZW coding implementation. using wavelet transforms as a key tool. compression and decoding is done using EZW algorithm....
EZW coding implementation. using wavelet transforms as a key tool. compression and decoding is done using modified EZW a...
SPIHT coding implementation. using wavelet transforms as a key tool. compression and decoding is done using SPIHT algori...
This code demonstrate Fast Wavelet Transform. Executable and can be run on Visual C++ platform...
A short tour on wavelets. This documents describes general aspects in wavelet field. It concerns a mathematical approach...
multi_wavelet An Image Digital Watermarking Algorithm Based on Bit-Plane-Decomposition and Multi-Resolution-Decomposi...
针对静止图像经整数小波变换(integer wavelet transform)后,各子带系数的幅值动态变化范围小,不利 于零树编码(embedded zerotree wavelet coding)的缺点,采用“从 1 开始的整数平方”...