搜索资源列表
GreedyASelectorMain
- 贪心算法 使某些问题时间复杂度降为一维线性-Greedy algorithm to make certain issues reduced time complexity of one-dimensional linear
SAX_2006_ver
- SAX比其他符号算法更简便、高效 在符号化过程中实现了减维降噪 ,保证在符号空间计算出的两个符号序列距离满足实际两个时间序列距离的下界要求 ,即不会出现漏报-SAX (Symbolic Aggregate approXimation)
wavelet
- 基于新型阈值处理函数的多算法融合小波去噪方法,去燥效果较好,可实现一维信号的有效降噪!另附有小波盲源分离代码-A Better Method based on a novel fusion algorithm of multi-threshold processing function , can achieve the effective denoising for one-dimensional signal. Additiona
emd
- 针对一维非线性非平稳信号降噪的一种算法,EMD算法,这是其MATLAB代码。-An algorithm for one-dimensional nonlinear and non-stationary signal noise reduction, EMD algorithm, which is its MATLAB code.
python计算机视觉.pdf
- 本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic the
pujian
- matlab实现的传统语音降噪声使用的谱减增强算法,含有维纳滤波算法,请大家参考学习。(Matlab implementation of the traditional voice reduced noise spectrum enhancement algorithm, contains Wiener filtering algorithm, please refer to the study.)
PCA
- 不用自带函数,而是直接编程实现PCA算法。然后用PCA实现将数据从三维降到二维。(PCA algorithm is realized by direct programming instead of self-contained functions.Then PCA is used to reduce the data from three-dimensional to two-dimensional.)
Python机器视觉编程
- 《Python计算机视觉编程》是计算机视觉编程的实践指南,依赖Python语言讲解了基础理论与算法,并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外,书中附带的练习还能让读者巩固并学会应用编程知识。("Python Computer Vision Programming" is a practica