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混合预测
相关语句
  hybrid prediction
    Improved redundant CORDIC algorithm based on hybrid prediction
    一种改进的混合预测冗余CORDIC算法
短句来源
    This paper imtroduces a improved redunant CORDIC arithmetic based on hybrid prediction.
    本文提出了一种改进的混合预测CORDIC算法。
短句来源
    The arithmetic use hybrid prediction design method,discuss the middle value of hybrid angle group under the concrete data format,and present the realization configuration of arithmetic.
    该算法利用混合预测方法的设计思想,讨论了在具体数据格式下,混合角度集中间值的确定,并给出了算法的实现结构。
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  “混合预测”译为未确定词的双语例句
    This paper proposes a new intra-frame coding algorithm with only one prediction mode but not DC prediction mode.
    提出了一种新型的基于混合预测模式的帧内预测编码算法,它仅仅采用一种预测模式,避免了其它算法中从众多模式中选择模式的过程。
短句来源
    Motion compensation and prediction using deformable block matching algorithm (DBMA) is discussed. This paper proposes a nodal search-based DBMA (NS-DBMA) for the estimation of nodal displacement. The sub-pixel accuracy prediction and two-mode hybrid method are further proposed.
    本文讨论可变形块匹配(DBMA)的运动补偿和预测方法,提出基于节点搜索的可变形块匹配算法(NS-DBMA),并在此基础上提出分数像素精度预测和双模式混合预测方法.
短句来源
    Three stress prediction models based on ANN, i.e. acoustic model, linguistic model and mixed model, are proposed to predict Chinese sentential stress. The result shows that mixed model is better than the other two models.
    建立了基于人工神经网络的三种重音预测模型,即声学预测模型、语言学预测模型和混合预测模型,对汉语句重音(包括轻声、正常重音、重读)进行了自动判别,结果显示混合模型要优于另外两种模型。
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  hybrid prediction
The online real-time network performance forecast will be based on one so-called hybrid prediction modeling approach for short-term network, performance prediction and trend analysis.
      
For inter-group hybrids with predominance of general over specific combining ability, the hybrid prediction from GCA effects was efficient in identifying promising hybrids.
      


Motion compensation and prediction using deformable block matching algorithm (DBMA) is discussed.This paper proposes a nodal search-based DBMA (NS-DBMA) for the estimation of nodal displacement.The sub-pixel accuracy prediction and two-mode hybrid method are further proposed.Experimental results show that the NS-DBMA have about 2dB better than exhaustive block matching algorithm (EBMA).NS-DBMA has only half computation amount of the gradient-based search algorithm (GB-DBMA) but gets better subjective and objective...

Motion compensation and prediction using deformable block matching algorithm (DBMA) is discussed.This paper proposes a nodal search-based DBMA (NS-DBMA) for the estimation of nodal displacement.The sub-pixel accuracy prediction and two-mode hybrid method are further proposed.Experimental results show that the NS-DBMA have about 2dB better than exhaustive block matching algorithm (EBMA).NS-DBMA has only half computation amount of the gradient-based search algorithm (GB-DBMA) but gets better subjective and objective quality,and is much easier to implement by VLSI.

本文讨论可变形块匹配(DBMA)的运动补偿和预测方法,提出基于节点搜索的可变形块匹配算法(NS-DBMA),并在此基础上提出分数像素精度预测和双模式混合预测方法.实验结果表明,NS-DBMA比全搜索方块匹配法(EBMA)平均改善约2dB;其运算量仅为基于梯度的可变形块匹配算法(GB-DBMA)的一半,但能得到更好的主客观预测质量,且更易于VLSI硬件实现.

This paper proposes a new intra-frame coding algorithm with only one prediction mode but not DC prediction mode. The algorithm not only avoids the selection from a lot of modes,but also fully exploits the spatial correlation.

提出了一种新型的基于混合预测模式的帧内预测编码算法,它仅仅采用一种预测模式,避免了其它算法中从众多模式中选择模式的过程。实验结果表明,它能够充分利用空间的冗余度。

Stress is an important parameter for prosody processing in speech synthesis. This paper compares the acoustic features of unstressed syllable and stressed syllables with normally stressed syllables, including pitch, syllable duration, intensity and pause length. The relations between duration and pitch, and Third Tone (T3) and pitch are also studied. Three stress prediction models based on ANN, i.e. acoustic model, linguistic model and mixed model, are proposed to predict Chinese sentential stress. The result...

Stress is an important parameter for prosody processing in speech synthesis. This paper compares the acoustic features of unstressed syllable and stressed syllables with normally stressed syllables, including pitch, syllable duration, intensity and pause length. The relations between duration and pitch, and Third Tone (T3) and pitch are also studied. Three stress prediction models based on ANN, i.e. acoustic model, linguistic model and mixed model, are proposed to predict Chinese sentential stress. The result shows that mixed model is better than the other two models. In order to solve the problem of the diversity of manual labeling, another valuation method of support ratio is proposed.

重音是语音合成中韵律处理的一个重要参数。本文分析了轻声和重读音节同正常重音在各声学参数上的差异,包括基频、音节时长、强度、停顿长度等,还特别考察了时长同基频参数之间的关系,以及上声音调同基频的关系。建立了基于人工神经网络的三种重音预测模型,即声学预测模型、语言学预测模型和混合预测模型,对汉语句重音(包括轻声、正常重音、重读)进行了自动判别,结果显示混合模型要优于另外两种模型。此外,本文还根据重音标注的多样性现象设计了支持率的评价方法。

 
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