归一化处理

• Secondly , in the feature extraction stage , haar 2 - d wavelet transform is used in each band of the normalized image . the mean values and variances of the coefficients of 7 main wavelet channels are extracted as features
  该算法通过对归一化处理后虹膜图像的各个小分割区域进行二维小波变换,提取出主要小波通道的小波系数均值和方差作为特征值。
• Abstract : abstract ： using the method described in the paper ， the different group samples are nermalized to obtain reliability data of producs with long lifetime in shorter testing cycles
  摘要：摘要：对所选取的不同批样本进行归一化处理后，就可以在较短的试验周期内获得较长寿命剖面上产品的可靠性数据，使可靠性评估工作变得可行，评估结果可信、合理。
• Rough set theory method analyzes limited - dimension discrete datasheet , so we must discretize data in database . but for an original database with large continuous attributes values , how to discretize data reasonably is a noticeable problem
  对于一个包含大量连续属性值的原始数据库，如何根据需要合理对数据进行归一化处理应该是粗糙集理论中值得注意的一个问题。
• And emphasizes on the introduction of the choosing strategy of neural network structure , the method of smoothing and generalizing load data and the studying and forecasting process of the stlf model which adopts the revised bp algorithm
  重点介绍了神经网络结构的选定策略，对历史负荷数据平滑、归一化处理的方法和采用改进bp算法的综合模型在短期负荷预测中的学习和预测过程。
• To sotve this problem , the paper proposes a new kind of image retrieval algorithm which is based on the multi - feature vector normalization and uses it as the standard of image ' s similarity measurement
  该算法通过对图像单一特征向量的归一化处理获取图像综合特征向量，采用体现不同特征向量检索权重的加权欧氏距离进行相似性度量，并可根据交互检索过程中用户对检索权重的调整更新检索结果。
• Extracting 17 morphological features to stored - grain pests binary image , for example area , circle quality , invariable moment and so on . extracting 27 texture features to stored - grain pests " gray image . the morphological features extracted are normalized
  针对粮虫的灰度图像，提取出基于灰度直方图、游程长度和灰度共生矩阵的27个纹理特征，并对提取的形态学特征进行归一化处理。
• Finally , in the feature matching stage , with the variance reciprocal used as the weighting coefficients , the features from each parts of the iris image ( the first iris image division ) are matched separately and then 3 matching results are got
  最后,在匹配识别算法中,本文对归一化处理中第一次图像分割后的3部分区域分别采用方差倒数加权求和的匹配算法进行识别判决,得到3个识别结果。再用不同的可信度系数来加权这3个识别结果,得到最终的识别结果。
• The technic which i use to elicit the coefficient of the prediction variable is that i firstly compute the dependance of condition attribute and decision attribute , then work out the importance of condition property ( financial index ) , finally unify this importance and get the coefficient of prediction variable
  通过计算条件属性和决策属性的依赖度来确定条件属性的重要程度，对其进行归一化处理后即得到预测变量的权系数，进而确定综合预测模型。
• For lifted descrete wavelet transforms , an implementation method based on the finite state machine is provided and delayed normalization is suggested as an accelerating technique to improve transforming performance , setting up an uniform framework for implementing various lifted descrete wavelet transforms
  提出了基于有限状态机的提升离散小波变换的实现方法和延时归一化处理的加速技术，提高了变换效率，形成了实现各种提升方案的小波变换的统一框架。
• According to the results of experiments , the stability of detection and the significance of photocurrent normalized are discussed . how the illumination mode , the frequency and the resistance of photocurrent loop affect the response of photocurrent is analyzed in detail . and the pilot study on the real - time detection of laps system has been done
  根据实验结果分析讨论了新系统的测量稳定性，以及光照射方式、光调制频率和光电流回路阻抗对光电流响应的影响，以及光电流归一化处理的重要性，并且初步研究了laps系统的实用化实时检测。