Uniform quantization
- 网络均匀量化;均匀量化矩阵
-
In the same series , no uniform quantization for ultrasonic signal processing effect is better .
在相同的级数下,非均匀量化对超声信号的处理效果更好。
-
A piecewise uniform quantization strategy is appled to quantize the luminance shifting . Finally .
再次,用分段均匀量化方法量化亮度平移量;
-
Color Selecting by Using Uniform Quantization
均匀量化颜色选择算法的研究与实现
-
In the paper , the 9 / 7 lifting schemes and uniform quantization are employed in wavelet transform .
文中小波变换采用9/7提升分解算法,量化为均匀标量量化。
-
A new 18 color none uniform quantization algorithm based on HSV space is proposed with the purpose of reducing the dimension of feature space .
为了降低基于颜色特征图像检索中空间的维数,本文改进了颜色特征的图像特征的提取方法,提出了一种新的基于HSV空间的18色非均匀颜色量化算法。
-
Due to the low bits utilization rate and large quantization error , we replace the uniform quantization with the scalar quantization .
由于均匀量化比特利用率较低并且量化误差大,本文量化过程使用了分级量化方法。
-
This feature usually uses the tradition uniform quantization method resulting in a loss of color information , and can not characterize the real color distribution of image , which leads to a high false reject rate .
研究发现,传统均匀量化颜色相关图方法丧失了较多的颜色信息,无法反映颜色分布特性,导致误检率较高。
-
In this paper , the dynamic changes of uniform quantization step size are presented which can improve the control performance significantly . This quantization scheduling strategy can be extended to more general multi-loop network control system . 3 .
本文提出通过采用动态改变均匀量化器的步长来实现对带宽受限下多控制回路的CAN总线系统进行有效调度的策略,本策略可推广到更一般的多回路共享网络资源的网络控制系统。
-
A new 20 color none uniform quantization algorithm based on HSV space was proposed with the purpose of reducing the dimension of feature space and syncretizing the transcendental knowledge into the classification machine constructed by SVM .
为了降低特征空间的维数,将图像的先验知识融合到采用SVM构造的分类器中,提出了一种新的基于HSV空间的20色非均匀颜色量化算法。
-
In the decoding system , a modified version of a look-up table method is exhibited to perform the inverse non uniform quantization . In comparison with the existing ones , it reduced 50 % storage and decreased the calculation errors .
相应地,在反量化模块中,提出了一种改进型的查表方法,与现有算法相比,减少了50%的存储空间,并将计算误差控制在10-6级别内。
-
Uniform quantization strategy has been widely adopted by currently available quantization modulation techniques of audio watermarking . It not only needs to ascertain the quantization step with massive experiments , moreover it 's difficulty in guaranteeing the fine balance between the transparency and robustness .
现有量化调制音频水印技术普遍采纳了均匀量化策略,其不仅需要结合大量实验确定量化步长,而且难以保证不可感知性与鲁棒性的良好平衡。
-
Lowfrequency sub-image coding is carried by uniform scalar quantization .
采用均匀标量量化方法完成小波图像中的低频子图编码。