The traditional face recognition is sensitive to light condition as well as facial expression,
and has a shortcoming of high intra-group dispersion, a novel method is proposed to …

独立成分分析是一种新的信号处理技术, 在数字图像处理的诸多方向均表现出其独特性.
对独立成分分析(ICA, IndependentComponentAnalysis) 及其在图像处理中的应用进行了综述 …

针对ICA 用于语音信号盲分离时, 由于数据量过大, 迭代次数过多引起的收敛速度慢的问题,
采用一种PCA 和ICA 相结合的盲分离算法PCA-ICA. 通过PCA 对混合语音信号进行白化处理 …

由于语音盲信号分离中存在收敛速度慢的问题, 在众多数学模型的基础上, 采用FastICA 和PCA
结合的算法模型进行语音盲信号分离. 在FastICA 和PCA 结合中, 先通过PCA 对混合信号处理 …

Classification of hyperspectral data is computationally complex and time consuming process
due to the dimensionality of spectral signatures and high volume of data. In this study as a …

针对传统的人脸识别方法对人脸图像的曝光量, 表情比较敏感, 并且具有较大类内离散度的缺点,
该文提出一种基于Gabor 小波以及加权互协方差运算的人脸识别算法. 该算法首先对人脸图像 …

基于格蕴涵代数的格值命题逻辑系统能定性地刻画不可比较性和不精确性.
广义文字是该系统中α-归结自动推理的核心概念, 是α-归结中的最基本单元. 公式的正规性是α …

The study of speech sounds has established itself as a distinct area of research, namely
Phonetics. This is because speech production is a complex phenomenon mediated by the …

The human face is frequently used as the biometric signal presented to a machine for
identification purposes. Several challenges are encountered while designing face …