搜索资源列表
leaves-bass-algorithm
- 这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。-This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian
Feature-level-fusion-recognition
- 介绍了复值独立分量分析(Complex ICA)的基本原理和算法，提出了基于复值独立分量分析的目标识别方法并将其应用于多传感器融合的目标识别中-The basic principle and algorithm of the complex valued Independent Component Analysis (ICA)are introduced，and a new target recognition algorithm based on the complex valued IC
bss
- 基于独立分量分析的语音信号盲分离算法，采用matlab编程，程序共593行-Based on independent component analysis (ica) speech signal separation algorithm, based on matlab programming
icalab
- 独立分量分析工具包，包括十余种主流ICA分析工具，上手可用。-Independent component analysis toolkit, including more than 10 kinds of mainstream ICA analysis tool, to get started is available.
tidu_ICA
- 梯度ICA方法用来解决独立分量分析问题，通信方面的-the code of independent component analysis of matlab
work
- 对三路信号进行分离，基于峭度和基于负熵的独立分量分析（ICA）-The three way signal separation, based on the kurtosis and independent component analysis (ICA) based on negative entropy
sdica
- 硕博美国留学的中科大本科毕业的研究独立分量分析的一位牛人编写的子带ica的matlab程序。研究盲源分离的必备。-USTC graduated Shuobo study in the United States of an independent component analysis cattle were prepared subband ica matlab program. Study the blind source separation essential.
ica_D_R
- 具有参考信号的独立分量分析程序，国外的提出这个问题的人编写的。-Independent component analysis (ICA) program with a reference signal abroad website.
332
- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
FAST-ICAmatlab
- ICA用于雷达信号分选，基于独立分量分析的matlab程序设计。-ICA for radar signal sorting, based on independent component analysis matlab program design.
fastICA_data1
- 信号处理的Fast ICA实现进行快速独立分量分析-Fast ICA signal processing to achieve fast independent component analysis
NewICA_2014
- 独立分量分析算法（ICA）可以用于信号分解，数据处理等-Independent component analysis (ICA) can be used to decompose the signal, data processing
Study-on-compound-fault-diagnosis
- 针对滚动轴承复合故障信号特征难以分离的问题， 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方 法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠， 对 故障信号特征提取有很大的干扰， 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离， 从而尽可能消除频率混叠 最后 对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调， 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
fourierica
- FourierICA是一种无监管的自适应学习方法，用于盲源分离问题，将短时傅里叶变换STFT与独立分量分析ICA相结合。-FourierICA is an unsupervised learning method suitable for the analysis of bss.The method performs independent component analysis(ICA) on short-time Fourier transforms of the data.
FastICA_25
- 快速ICA分析.快速独立分量分析。给出实例并分解-Fast ICA.FASTICA(mixedsig) estimates the independent components given multidimensional signals.
removal-artifacts--EEG-
- 通过小波分析和独立分量分析来去除脑电信号中的运动伪迹，有很好的参考价值。-Wavelet analysis and independent component analysis to remove EEG motion artifact, a good reference value.(Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and
ccfxmjmu
- 基于负熵最大的独立分量分析，信号处理中的旋转不变子空间法，单径或多径瑞利衰落信道仿真，含噪脉冲信号进行相关检测,ICA（主分量分析）算法和程序。- Based on negative entropy largest independent component analysis, Signal Processing ESPRIT method, Single path or multipath Rayleigh fading channel simulation, Noisy pulse corr
pguapijt
- 用于图像处理的独立分量分析，从先验概率中采样，计算权重，复化三点Gauss-lengend公式求pi，ICA（主分量分析）算法和程序，大学数值分析算法。- Independent component analysis for image processing, Sampling a priori probability, calculate the weight, Complex of three-point Gauss-lengend the Formula pi, ICA (Princip
iyqwzwdp
- 一种流形学习算法（很好用），ICA（主分量分析）算法和程序，用于信号特征提取、信号消噪，基于欧几里得距离的聚类分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器，有借鉴意义哦，是学习PCA特征提取的很好的学习资料，基于负熵最大的独立分量分析。-A fluid manifold learning algorithm (good use), ICA (Principal Component Analysis) algorithm and procedures, For feature extr
ehhjpwqv
- 阐述了负荷预测的应用研究,用于建立主成分分析模型，在MATLAB中求图像纹理特征，用于图像处理的独立分量分析，ICA（主分量分析）算法和程序，具有丰富的参数选项,基于分段非线性权重值的Pso算法。- It describes the application of load forecasting, Principal component analysis model for establishing, In the MATLAB image texture feature, Independen