Features for classification might include words, weights for those words (based on frequency, for instance), parts of speech, and so on.
分类功能的特性可以包括词汇、词汇权重(比如说根据频率)和语音部件等。
Based on frequency domain distribution and scale feature of textural information, we can do texture classification effectively.
该算法利用纹理信息的频域分布以及尺度特性，并在此基础上进行纹理分类。
A new thought of combining frequency estimate method based on FFT with that based on multiple signal classification (MUSIC) is presented.
提出了将基于FFT的频率估计法和基于多重信号分类(MUSIC)的频率估计法相结合的新思路。
Using the concept of classification of clustering, the behavior data were classified by probability and frequency, and the model was built for intelligence information analysis.
利用概念分类的聚类思想，使用概率和频率度量对行为数据分类，获得指导情报分析的模型。
Most pattern classification algorithms rely heavily on the shape of the signal, which can vary considerably with frequency.
因为大多数模式分类算法与信号的形状密切相关，而信号的形状很大程度上随检测频率的变化而变化。
By imitating of the design characters of the high frequency circuit, the origin and the classification of the noise interferences of the low field NMR circuit system are analyzed.
此外本文参照高频电路的设计特点，分析了低场磁共振信号放大电路的噪声干扰来源，给出了一些减少噪声干扰的具体措施。
The classification technique uses various features of the signal amplitude, frequency, and power spectrum applied to the fuzzy classifier.
本文研究了一种基于模糊分类的调制信号识别方法，即提取信号时域、频域、功率谱等统计特性，利用模糊分类器进行分类识别。
Using the different time-frequency characteristics of wavelet and wavelet packet, the proposed approach can avoid the noise and complete the detection and classification of transient power quality.
该方法利用小波和小波包各自的时频分解特点，实现了暂态电能质量扰动的自动检测和分类。
Speckle in SAR images will disturb classification accuracy. Vector filter of speckle is used to dual-frequency images before classification.
SAR图像的相干斑会影响图像的分类准确度和精度，在进行分类处理前，对双波段全极化SAR图像相干斑进行矢量滤波处理。
The method to extract power character, the measure to find the peculiar frequency band and the results of classification will contribute to the design of an on-line BCI system.
所采用的特征提取方法、特征频段能量确定方法及分类结果都被应用于在线脑机接口系统设计中。
The main motive of this thesis is to investigate target classification of HF over-the-horizon (OTH) radar based on multiple frequency feature and poles.
本文主要研究基于多频和极点特征的高频超视距雷达目标识别方法。
Classification by using frequency spectrum of three-order principal component is put forward.
提出了利用缺陷的三阶主分量频谱来分类。
The wavelet neural network is applied in target identification of step frequency MMW radar. The results of experiment indicate that the method is valuable for target classification.
将所提出的小波神经网络用于毫米波频率步进雷达目标一维距离像识别。
The results show that this method can characterize various heart sounds in time-frequency domain, and establishes the basis for the classification and recognition of heart sound.
结果表明，该分析方法能够很好地表征心音的时频变化特性，为后续实现心音的分类与识别提供了参考。
Components of watermarking with different strength are embedded into the parts of low frequency DCT parameters in different audio segment according to the classification results. T...
根据音频段的分类效果，不同强度的水印分量被嵌入到不同音频段中的部分DCT低频系数中。
After analyzing their properties in time and frequency domain, we propose two feature-extraction methods and performed some classification experiments based on support vector machine. Ther...
在分析两类飞机时域、频域特性的基础上给出了两种特征提取方法，利用支持矢量机进行了识别实验，结果表明所提出的方法是可行的。
After analyzing their properties in time and frequency domain, we propose two feature-extraction methods and performed some classification experiments based on support vector machine. Ther...
在分析两类飞机时域、频域特性的基础上给出了两种特征提取方法，利用支持矢量机进行了识别实验，结果表明所提出的方法是可行的。
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