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ICA
- 独立成分分析算法降低原始数据噪声，并提取特征值，非常有用得数据去噪程序。-Independent component analysis algorithm reduces the raw data noise, and extract characteristic value, is more helpful data denoising procedure.
suiji
- 用matlab 实现强噪声中弱信号的提取，可产生图像 一次生成-Using matlab to achieve strong noise in the extraction of weak signal can produce a generation of images
hhh
- ：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the t
08041107
- 基于随机共振的弱信号检测，sr为龙格库塔方法解方程，rs为检测的主程序-Based on stochastic resonance in weak signal detection, sr for the Runge-Kutta method to solve the equation, rs for the detection of the main program
NSR
- 随机共振的弱信号检测，运用朗格万方程进行MATLAB的仿真-stochasitc resouance using for detecting the weaken signals,based on longawan function
weiruo
- 详细介绍了微弱信号的检测方法 ,做信号检测的可以参考下其中的经典方法-Details of the weak signal detection methods, signal detection can be done under one of the classical method of reference
weak-signal-detection-and-analysis
- 微弱信号的提取检测和分析 用matlab实现的源代码 首先计算输入信号的均值、均方值、方差、频谱及功率谱密度，确定输入信号中包含着有用信号。然后提取有用信号，并要求计算提取信号的均值、均方值、方差、概率密度、频谱及功率谱密度，并画出曲线-The extraction of weak signal detection and analysis
rs
- 双稳态随机共振的一个仿真，随机共振的弱信号检测，运用朗格万方程进行MATLAB的仿真。-Simulation of a bistable stochastic resonance , stochastic resonance in weak signal detection , the use of Lange Wan equation for the MATLAB simulation
sr
- 随机共振分析弱信号，带MATLAB源码，值得参考-Stochastic resonance weak signal analysis, take the source code, is worth reference
matlab
- 随机共振在弱信号中的检测研究matlab源程序-Stochastic resonance in weak signal detection matlab source
shuangpu
- 本附件包含在matlab环境下双谱分析源码的m文件，除了高阶谱，是用的比较广泛的一种。主要用于TDOA及弱信号检测等。可以动手下载后在matlab下运行之。和我前次发的高阶谱分析帖子一样，是要手动加入matlab高阶谱工具箱！ -This annex is included in the matlab environment bispectral analysis of source code of m documents, in addition to high-end spectrum,
CS_SWOMP
- 可用于恢复稀疏信号，图像处理/噪声处理/医学成像等应用中，是压缩感知重构算法中的分段弱正交匹配追踪算法(It can be used to recover sparse signals, image processing / noise processing / medical imaging, and so on. It is a piecewise weak orthogonal matching pursuit algorithm in compressed sensing reconst