This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo

文章阐释了基于小波分析的改进型的PCA算法在人脸识别中的应用和具体实现。-The article illustrates the application and concrete realization of improved PCA algorithm based on wavelet analysis in face recognition.

完整的基于HMM的语音识别系统，Gabor小波变换与PCA的人脸识别代码，利用最小二乘算法实现对三维平面的拟合。- Complete HMM-based speech recognition system, Gabor wavelet transform and PCA face recognition code, Least-squares algorithm to fit a three-dimensional plane.

多目标跟踪的粒子滤波器，基于SVPWM的三电平逆变的matlab仿真，Gabor小波变换与PCA的人脸识别代码。- Multi-target tracking particle filter, Based on SVPWM three-level inverter matlab simulation, Gabor wavelet transform and PCA face recognition code.