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SVD_EST
- 自行编写的加入噪声估计的KSVD去噪算法，利用SVD分解进行噪声估计- KSVD denoising algorithm to prepare the addition of noise estimation, the use of SVD decomposition noise estimation
vad
- 双门限端点检测。因为低噪声导致假过零率的产生，进行了算法改进。可以直接调用函数运行，亲测-Dual threshold endpoint detection. Because of the low noise cause false over-produce zero rate, the algorithm was improved. It can directly call the function run, pro-test
shujutianjiazaoseng
- 为点云数据自动添加随机噪声，可供点云数据处理者自动生成实验数据使用-The point cloud data automatically adding random noise to automatically generate test data to use for point cloud data processor
GP
- 基于贝叶斯理论的高斯过程代码，包含高斯过程回归分析，以及相关噪声处理和高斯过程分类，提供数据进行测试，-Gauss procedure code based on Bayesian theory, including Gaussian process regression analysis, and related processing and noise Gaussian process classification, to provide data for testing, etc.
SVD.m
- 利用SVD实现item-based CF: 优点： 简化数据，去除噪声，提高算法的结果 缺点： 数据的转换可能难以理解 适用数据类型： 数值型数据(Svd decomposition plays an important role in the decomposition of eigenvalues of high-dimensional data, while using low-dimensional data for approximate approximation)
0434698
- 这是一个对信号和噪声进行分析的程序,采用傅立叶变换分析的方法,对结果进行多方位显示()
Chaotic Systems Toolbox
- 这个工具箱包含一组函数，可以用来模拟一些最著名的混沌系统，其为相空间重构、模拟时间序列的线性特性、尺寸和噪声估计以及降噪提供了额外的功能。(This toolbox contains a set of functions which can be used to simulate some of the most known chaotic systems, such as: - The Henon map - The Ikeda map - The Logistic map - The