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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.
stICA
- 独立分量分析中的固定点算法用于处理图片,算法可以分析医院的影像图片，进而有助于对病人的器官进行功能性分析。- Independent component analysis in fixed-point algorithms for processing the image, the algorithm may analyze the hospital s image picture, and thus contribute to the patient s organ for functiona
ICA_PICTURE
- 应用独立分量分析方法对图片进行图像分离处理，可以将医学影像的图片进行分离，单独进行分析。-Independent component analysis of images for image separation processing, medical imaging picture can be separated, analyzed separately.
JAD
- JADE算法分析 用于独立分量分析和盲源分离算法-JADE algorithm
FastICA_21
- FASTICA算法从多维信号中估计其独立分量。FASTICA采用Hyvarinen的定点算法实现。-FASTICA(mixedsig) estimates the independent components given multidimensional signals. Each row of matrix mixedsig is one observed signal. FASTICA uses Hyvarinen s fixed-point algorithm.
jiandan
- 对简单信号进行混合，并且运用独立分量分析方法进行分离验证-The mix of simple signal, and the use of independent component analysis method for separation of verification
57169speal
- 盲分离程序，利用FSATICA独立分量分析的方法实现了线性混合信号的盲分离-Blind separation procedures, the use FSATICA independent component analysis method to achieve a linear mixed-signal blind separation
fastica
- 该程序应用于盲信号处理中的盲源分离，通过求解混合信号的独立分量，将混合信号中的各信号分离出来-The program applies to blind signal processing blind source separation, by solving the mixed signal independent component, the separated mixed signal of each signal
ICA-matlab
- ICA算法的研究可分为基于信息论准则的迭代估计方法和基于统计学的代数方法两大类，从原理上来说，它们都是利用了源信号的独立性和非高斯性。一般情况下，所获得的数据都具有相关性，所以通常都要求对数据进行初步的白化或球化处理，因为白化处理可去除各观测信号之间的相关性，从而简化了后续独立分量的提取过程,然后再用基于负熵最大的FastICA算法，即可对图像及信号进行解混。-ICA algorithm research can be divided into iterative estimation meth
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
etffhchf
- 基于负熵最大的独立分量分析，包括数据分析、绘图等等,滤波求和方式实现宽带波束形成，自己编的5种调制信号，进行逐步线性回归。- Based on negative entropy largest independent component analysis, Data analysis, plotting, etc., Filtering summation way broadband beamforming, Own five modulation signal, Stepwise linear
fdywfpvm
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，相控阵天线的方向图（切比雪夫加权），基于互功率谱的时延估计，最大信噪比的独立分量分析算法，基于欧几里得距离的聚类分析。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Phased array antenna pattern (Chebyshev weights), Based on the time delay estimation o
ggsihsva
- 最大信噪比的独立分量分析算法，有循环检测，周期性检测，用于信号特征提取、信号消噪，基于matlab GUI界面设计,基于欧几里得距离的聚类分析。- SNR largest independent component analysis algorithm, There are cycle detection, periodic testing, For feature extraction, signal de-noising, Based on matlab GUI interface desi
hawdhwud
- 虚拟力的无线传感网络覆盖，具有丰富的参数选项,主要是基于mtlab的程序，基于chebyshev的水声信号分析，最大信噪比的独立分量分析算法。- Virtual power wireless sensor network coverage, It has a wealth of parameter options, Mainly based on the mtlab procedures, Based chebyshev underwater acoustic signal analysis,
ifppapwi
- 构成不同频率的调制信号，采用加权网络中节点强度和权重都是幂率分布的模型，使用拉亚普诺夫指数的公式，BP神经网络用于函数拟合与模式识别，基于负熵最大的独立分量分析。- Constituting the modulated signals of different frequencies, Using weighted model nodes in the network strength and weight are power law distribution, Raya Punuo Fu in
izkigkne
- 通过虚拟阵元进行DOA估计，基于负熵最大的独立分量分析，三相光伏逆变并网的仿真，多抽样率信号处理，插值与拟合，解方程，数据分析。- Conducted through virtual array DOA estimation, Based on negative entropy largest independent component analysis, Three-phase photovoltaic inverter and network simulation, Multirate si
jnyyuwts
- 研究生时的现代信号处理的作业，在MATLAB中求图像纹理特征，基于分段非线性权重值的Pso算法，最大信噪比的独立分量分析算法，快速扩展随机生成树算法。- Modern signal processing jobs when the graduate, In the MATLAB image texture feature, Based on piecewise nonlinear weight value Pso algorithm, SNR largest independent compon
mzbcrzsr
- GSM中GMSK调制信号的产生，基于负熵最大的独立分量分析，对HARQ系统的吞吐量分析，随机调制信号下的模拟ppm，进行逐步线性回归。- GSM is GMSK modulation signal generation, Based on negative entropy largest independent component analysis, HARQ throughput analysis of the system, Random ppm modulated analog signa
pbcikuyh
- 用于图像处理的独立分量分析，借鉴了主成分分析算法（PCA），music高阶谱分析算法，使用混沌与分形分析的例程，给出接收信号眼图及系统仿真误码率。- Independent component analysis for image processing, It draws on principal component analysis algorithm (PCA), music higher order spectral analysis algorithm, Use Chaos and fr
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