This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.
本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。
For the realtime requirement of Remote Watching in Power system, the theory of Video Compression and the application of Wavelet transform are systematically studied.
本文根据电力系统遥视中的实时性要求，系统而深入地研究了视频压缩编码的理论以及小波变换在视频压缩中的应用。
Following the spectral correlation theory and wavelet transform theory, a method named as wavelet spectral correlation method is proposed for BPSK signal detection and chip rate estimation.
在谱相关理论和小波变换理论的基础上，提出了小波谱相关方法实现BPS K信号检测与码元速率的提取。
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