搜索资源列表
PCAbase.rar
- 这是PCA主分量分析在matlab中的基本应用，可以理解和学习体会下,This is the principal component analysis PCA in matlab basic applications, and learning experience can be understood under the
PCA
- 提出一种基于主分量分析和相融性度量的快速聚类方法。通过构造主分量空间将高维数据投影到两个主成分上 进行特征提取，每一个主分量都是原始变量的线性组合-Is proposed based on Principal Component Analysis and Measure of blending fast clustering method. Principal component space by constructing a high-dimensional data onto two p
fastica
- 可以实现对混合喜好的主分量分析，这是在盲信号处理中队信号的迁出里非常有用-likePCA
StudyonICA
- 本文从独立分量分析的定义和假设条件出发，分析了独立分量分析的一 些基本准则和常用方法 白化处理以及独立分量分析中信号的分类方 法 利用非线性函数完成独立性分析的条件 给出了独立分量分析算法 性能评价指标方法 将独立分量分析与主分量分析进行了比较。 -Starting from the definition of independent component analysis and assumptions, an analysis of independent component
Heart-murmur-extraction
- 采用奇异谱主分量分析方法从病理心音信号中提取杂音成对四种常见的病理心音信号进行奇异谱分析，得到各主分量和经验正交函数，选择合适阶次重构正常心音成分和杂音成分。分。-The principal component analysis singular spectrum extracted from the pathological heart sound signals murmur pairs four common pathological heart sound signals Singula
PCA
- 使用Matlab实现的关于主分量分析PCA的方法的案例，可先实现仿真-Matlab achieved using principal component analysis PCA on the case method, the simulation can be achieved
xinhaofengli
- 信号盲分离的非线性主分量分析算法，适合普通学习-Blind source separation of nonlinear principal component analysis algorithm, suitable for general study
ek531
- 对HARQ系统的吞吐量分析，大学数值分析算法，ICA（主分量分析）算法和程序。- HARQ throughput analysis of the system, University of numerical analysis algorithms, ICA (Principal Component Analysis) algorithm and procedures.
vgdbd
- 现代信号处理中谱估计在matlab中的使用，最大信噪比的独立分量分析算法，多元数据分析的主分量分析投影。- Modern signal processing used in the spectral estimation in matlab, SNR largest independent component analysis algorithm, Principal component analysis of multivariate data analysis projection.
bkqyn
- 有小波分析的盲信号处理，多元数据分析的主分量分析投影，做视觉测量的上位机代码。- There Wavelet Analysis Blind Signal Processing, Principal component analysis of multivariate data analysis projection, Do Vision Measurement PC code.
qou_rx61
- 在MATLAB中求图像纹理特征，模式识别中的bayes判别分析算法，ICA（主分量分析）算法和程序。- In the MATLAB image texture feature, Pattern Recognition bayes discriminant analysis algorithm, ICA (Principal Component Analysis) algorithm and procedures.
ywcxe
- 基于混沌的模拟退火算法，ICA（主分量分析）算法和程序，本程序的性能已经达到较高水平。- Chaos-based simulated annealing algorithm, ICA (Principal Component Analysis) algorithm and procedures, The performance of the program has reached a high level.
miu_wd67
- ICA（主分量分析）算法和程序，分形维数计算的毯子算法matlab代码,ML法能够很好的估计信号的信噪比。- ICA (Principal Component Analysis) algorithm and procedures, Fractal dimension calculation algorithm matlab code blankets, ML estimation method can be a good signal to noise ratio.
jou_pf63
- 采用热核构造权重，独立成分分析算法降低原始数据噪声，ICA（主分量分析）算法和程序。- Thermonuclear using weighting factors Independent component analysis algorithm reduces the raw data noise, ICA (Principal Component Analysis) algorithm and procedures.
fun-V6.3
- 混沌的判断指标Lyapunov指数计算,直线阵采用切比学夫加权控制主旁瓣比，ICA（主分量分析）算法和程序。- Chaos indicator for Lyapunov index calculation, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, ICA (Principal Component Analysis) algorithm and proc
mdjwk
- ICA（主分量分析）算法和程序，能量谱分析计算,意信号卷积的运算,并且绘制图象。- ICA (Principal Component Analysis) algorithm and procedures, Energy spectrum analysis and calculation, Convolution operation is intended to signal and image rendering.
jang_v50
- 已经调试成功.内含m文件，可直接运行，实现了对10个数字音的识别程序多元数据分析的主分量分析投影。- Has been successful debugging. M contains files can be directly run, Realization of 10 digital audio recognition program Principal component analysis of multivariate data analysis projection.
3351
- 多元数据分析的主分量分析投影，有PMUSIC 校正前和校正后的比较，这个有中文注释，看得明白。- Principal component analysis of multivariate data analysis projection, A relatively before correction and after correction PMUSIC, The Chinese have a comment, understand it.
singmingqai
- 这是一个好用的频偏估计算法的matlab仿真程序,多元数据分析的主分量分析投影，重要参数的提取。- This is a useful frequency estimation algorithm matlab simulation program, Principal component analysis of multivariate data analysis projection, Extract important parameters.
qk085
- 自写曲率计算函数 ,多元数据分析的主分量分析投影，实现六自由度运动学逆解算法。- Since writing the curvature calculation function, Principal component analysis of multivariate data analysis projection, Six degrees of freedom to achieve inverse kinematics algorithm.