资源列表
Wavelets1
- 图像小波变换，可实现1，2，3层小波，图像增强，融合等，功能相当强大-Image wavelet transform, can be realized 1,2,3 layer wavelet, image enhancement, integration, functions quite powerful
wavecode
- 此源码使用C语言来编写，实现小波变换，并在DSP中实现-This source using the C language to write to achieve wavelet transform, and DSP to achieve
MyDwt2D
- 对图像进行二维离散小波变换, 变换级数大于等于3级,然后统计系数中0的个数（百分比表示），并进行重构, 最后计算重构图像的峰值信噪比(PSNR). 里面还附上了我写的实验报告，对大家理解Mallat算法和图像压缩很有帮助-Image two-dimensional discrete wavelet transform, transform series greater than or equal to 3, and then statistics of the number of c
wavelet_code
- 小波降噪，本学期学习小波变换收获不少，呵呵，这个小波降噪比较实用，是Guleryuz写的，收集来和大家分享-Wavelet denoising, wavelet transform of the semester learning a lot of harvest, huh, huh, this more practical wavelet denoising is Guleryuz written, gathered to share
harmonic_wavelet
- 谐波小波的相关程序，包括图形和与fft结合等-Harmonic Wavelet related procedures, including graphics and integration with the fft
mallet_wavelet
- 此函数用于研究Mallet算法及滤波器设计和消噪，原信号与消噪后信号的比较-This function is used to study the Mallet algorithm and filter design and de-noising, the original signal and the signal after denoising comparison
final
- 小波变换处理带噪语音信号，对于低信噪比的情况下相当有效，直接改文件名就可完成-Wavelet Transform of Noisy Speech signal processing for low SNR case quite effectively, direct to the file name can be completed
fractalVSwavelet
- 期刊：基于小波图像压缩技术的算法研究，图像压缩的混合编码。-Series: Based on wavelet image compression algorithm technology research, a mixture of image compression coding.
wavlet
- 关于小波包方面的内容，用c语言写了几个小波变换所需要的函数。-On the wavelet packet contents, using c language to write a few wavelet transform of the function required.
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
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)
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