资源列表
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
signal_denoise_based_wavelet
- 一个基于小波阈值的信号处理程序，通过自适应阈值方式抑制信号噪声-A threshold based on wavelet signal processing procedures, through the adaptive threshold signal noise suppression methods
toolbox_wavelets
- 一个很好用的matlab下运行的小波工具箱-A very good run with the matlab wavelet toolbox
wavlet2d
- 对于一幅输入的图形进行特征提取基于gabor小波变换-For an input graphics gabor feature extraction based on wavelet transform
xiaobobianhua
- 利用小波变换检测突变点实验的实例，程序最后生成3个图像演示了该算法，分别为原数字信号、高斯函数作为基函数、高斯函数的一阶导数作为基函数的小波变换。-Mutation detection using wavelet transform examples of experimental points, the program generates the final three images to demonstrate the algorithm, namely, the original digi
wavelet_transformation
- 简单的小波压缩变换工作的原理如下: 信号和求导信号,形成的求同信号序列和求导信号序列的长度均为输入信号的长度的一半.如果输入信号序列是A={a(1),...,a(n)}求同信号S={s(1),...,s(n/2)}和求异信号D={d(1),...,d(n/2)}的计算方式为: for i=1,...,n/2 s(i)=a(2*i-1)+a(2*i) d(i)=a(2*i-1)-a(2*i) 例如输入信号是: 5,2,3,2,5,7,9,6