变换系数 meaning in English
coefficient of transformation
conversion coefficient
ratio of transformation
shift factor
transformation coefficient
transformation ration
Examples
- That is , using a soft thresholding to remove noise components from the wavelet coefficients of the voiced and unvoiced speech in noisy speech respectively in a different way , which is not only removing noise but also is preventing the quality degradation of the unvoiced sounds and enhancing the signal - noise ratio
该方法采用软限幅函数对浊音和清音信号的小波变换系数作不同的阈值处理，既抑制了噪声，又减少了语音段信息的损失，提高了信噪比。 - This paper presents a algorithm that combined unary code and exp - golomb code . it switched separately in consideration of the difference between luma and chroma coefficients , instead of setting a marking bit which will bing loss at the same time , and also added some corresponding context models . it had been tested on sd , hd and cif , three types of sequence , and the bitrate had been saved by 1 . 24134 % , 0 . 10016 % and 0 . 16029 % on average
针对这种情况,本文引入exp - golomb码来减少较大的变换系数二值化的冗余问题,提出了一种unary码和exp - golomb码相结合的的二进制化算法,该算法避免了设立标志位所带来的附加损耗,分别针对于变换系数中的luma系数和chroma系数的概率分布特点,采取了不同的自适应切换设置,并且相应地增加了概率模型。 - It is shown that , due to the real operations , the computation of the bi - orthogonal analysis window , the transforms coefficients , and the reconstruction of the original signal in rdgt case , can be significantly reduced as compared with the computation of those in the cdgt case . and the similarity between the rdgt and the discrete hartley transform ( dht ) allows the rdgt to utilize the fast dht algorithms for fast computation . meanwhile , the rdgt bears a simple relationship with the cdgt such that the cdgt coefficients can be directly computed from the rdgt coefficients
主要内容有：研究了一维和二维实值离散gabor变换( rdgt )方法，这种方法由于仅涉及实数运算，并可利用快速离散hartley变换算法加速变换，因而在计算双正交分析窗、变换系数以及信号重建方面都比复值离散gabor变换( cdgt )简单易于实现，并且rdgt系数与cdgt系数的实部和虚部有着非常简单的关系，因此前者的计算完全可以替代后者的计算，从而达到明显减小gabor变换计算量的目的。 - This algorithm applied to real system produces a good result . third we investigate the method for feature extraction , and put forward two methods base on wavelet analysis : coefficients character obtained by wavelet multi - resolution analysis and energy spectrum analysis using wavelet pack technique , from which a feasible feature vector is created
研究了基于小波的特征提取方法，提出了两种基于小波变换的特征提取方法：基于小波变换系数特征和基于小波包分解的能量特征，从而得到了故障信号的时域和频域特征。 - In the second method , wavelet transform is combined with modal transform , and transient travelling - wave signal is used . after three phase signals are decomposed into their modal components , the wavelet transform coefficient of ground mode can be used to identify approximate position of fault , and the wavelet transform coefficient of aerial mode is used for identifying arrival time of traveling - wave
第二种方法将小波变换与模式变换理论结合起来，采用的是暂态行波信号，首先将三相信号转换成模式分量，零模分量的小波变换系数用于判别故障的大致位置，然后利用线模分量的小波变换系数来确定行波到达时间。