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。
Based on the discussion of the theory of wavelet transform of images, a practical multi scale edge detecting method is put forward and the ways to suppress noise interference are discussed.
在对图像的小波变换原理讨论的基础上，提出了一种较为实用的图像多尺度边缘检测方法，同时对如何抑制噪声的干扰进行了讨论。
The thesis based on random fractal theory, utilizing fractional Brownian motion model, using R/S analysis technique and wavelet transform method to estimate Hurst exponent which dep.
基于随机分形理论，采用分数布朗运动模型，应用R/S分析技术和基于小波变换的谱参数估计方法计算地震道信号的赫斯特指数。
This paper combines the two aspects to recognize handwritten digits by using wavelet transform to extract feature and Adaptive Resonance Theory (ART) Neural Networks for Classification.
本文将二者结合起来，用小波变换抽取特征、用自适应共振art网络作模式分类器来识别手写数字。
The wavelet neural network model to forecast and control equipment development expense is established on the basis of theory and method of wavelet together with its transform.
通过小波及小波变换的原理和方法，建立了适用于武器装备研制费用的小波神经网络预测与控制模型。
Probed into the two factors of the signal de-noising effect basing on the wavelet transform basing on the analysis of the theory and methods of the wavelet transform: wavelet function and threshold.
在分析小波变换消噪原理和方法的基础上，研究了影响小波变换消噪效果的两个主要因素：小波基函数和阀值。
It can be applied in studying the property of any basic wavelet and learning the theory on the wavelet transform, and also in making some engineering signal analysis.
它即可用于对母小波的研究和对小波理论的学习，也可用于一些工程信号分析。
This paper analyzes the basic theory using two dimensions wavelet to detect image edges on the basis of wavelet transform and then designs the detecting...
根据二维小波变换的特点，分析了利用二维小波进行图像边缘检测的基本原理，并设计了利用二维小波变换进行多尺度边缘匹配的检测算法。
Wavelet packet theory is employed to adaptive multiuser detection, and wavelet packet transform based adaptive multiuser detection algorithm is presented in this paper.
在分析传统自适应多用户检测的基础上，提出了一种基于小波包变换的自适应多用户检测算法。
Based on the constructive theory of orthogonal binary wavelet transform, a parameter expression equation of binary wavelet and adaptive goal function put forward.
基于二进正交小波构造原理，构造了正交小波基参数表达方程及降噪效果的自适应目标函数，应用遗传优化方法求出最佳小波基。
And then D-S evidential theory is used to identify the target based on wavelet transform and FOBW coding.
在此基础上，运用D - S证据理论对目标进行融合识别。
And then D-S evidential theory is used to identify the target based on wavelet transform and FOBW coding.
在此基础上，运用D - S证据理论对目标进行融合识别。
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