一种改进的树形矢量量化编码算法

矢量量化中的一个最严重的问题是在一本码本中搜索最近码字的高计算复杂度。本文在研究树形矢量量化的基础上提出了一种改进的树形矢量量化编码算法。实验结果表明,本文提出的编码算法相对于树形矢量量化算法可大大改善峰值信噪比（ＰＳＮＲ）。     

基于灰色关联分析的“白屋顶计划”评价模型

在已知人为热释放、风速、日照时数和相对湿度的前提下,以芜湖市为例,运用灰色关联分析求出以上四个影响因素对行为因子(城市热岛效应)的关联影响程度,算出日照时数在四个环境因子中的比重,从而将白色屋顶计划对城市热岛效应的作用量化,建立了灰色预测模型。通过回归分析计算白屋顶计划对城市温度的影响,最后将预测数据与真实数据进行对比,模型结果表明"白屋顶计划"是合理且可行的。     

资产未来收益率的分段指数光滑预测

提出了一种改进指数光滑模型——分段指数光滑模型,并用此模型对资产的未来收益率进行预测,实证发现此预测方法比移动平均预测有更好的效果.     

Modeling the MHC class I pathway by combining predictions of proteasomal cleavage,TAP transport and MHC class I binding

Epitopes presented by major histocompatibility complex (MHC) class I molecules are selected by a multi-step process. Here we present the first computational prediction of this process based on in vitro experiments characterizing proteasomal cleavage, transport by the transporter associated with antigen processing (TAP) and MHC class I binding. Our novel prediction method for proteasomal cleavages outperforms existing methods when tested on in vitro cleavage data. The analysis of our predictions for a new dataset consisting of 390 endogenously processed MHC class I ligands from cells with known proteasome composition shows that the immunological advantage of switching from constitutive to immunoproteasomes is mainly to suppress the creation of peptides in the cytosol that TAP cannot transport. Furthermore, we show that proteasomes are unlikely to generate MHC class I ligands with a C-terminal lysine residue, suggesting processing of these ligands by a different protease that may be tripeptidyl-peptidase II (TPPII).Received 26 November 2004; received after revision 4 February 2005; accepted 4 March 2005S. Tenzer and B. Peters contributed equally to this work.     

融合互近邻和可信度的K-近邻分类算法

文章提出一种融合互近邻和可信度的K近邻算法,根据互近邻的概念删除噪声数据;利用由近邻诱导待分类样本标签的可信度,避免待分类样本近邻中大类吃小类的概率。该算法不仅可以减小噪声数据对分类的影响,而且一定程度上增强了K近邻分类算法的稳定性。该算法在UCI标准数据集上进行了测试,性能相当或优于其他分类器。     

储集层平面综合预测方法技术及应用研究

详细论述了储集层平面综合预测方法技术,它包括：平面参数提取及平面数据生成,同点展布及规一化处理、信息压缩处理和模糊聚类分析方法等。该方法可实现对储集层的整体评价,在此基础上,可优选出储层的最佳有效部位或油气富集带。实际应用表明,该方法是一种储集层整体评价的有效方法,具有广阔的应用前景     

单电子晶体管低频散粒噪声的数值解(英文)

在文「１」的基础上,讨论了单电子晶体管在两态情况下,的散粒噪声的行为和噪声谱与各个 电路因子的关系,从而给出了优化单电子晶体管操作环境的一些重要结论：信噪比可以通过调节电路参数而得到抑制,通过调节门电压可以起到降低温度扰动的作用。     

基于BP神经网络的增益量化中的阶距自适应

本文分析了G.728语音编码算法增益固定量化的缺陷,设计了精确表示增益的自适应量化方案。采用BP神经网络对增益的量化步长进行非线性自适应量化,并提出一种新的用于训练BP神经网络的数据的获取方法。     

水泵振动及其噪声的解决方法

对水泵运行过程中发出的噪声及产生振动的原因进行了分析,提出了避免或减轻水泵噪声及防振、减振的对策和方法.     

Polar codes based OFDM-PLC systems in the presence of impulsive noise

Power line communication(PLC)has the potential to become the preferred technique for provi-ding broadband communication to homes and offices with advantage of eliminating the need for new wiring infrastructure and reducing the cost.But it suffers from the impulsive noise because it intro-duces significant time variance into the power line channel.In this paper,a polar codes based or-thogonal frequency division multiplexing(OFDM)PLC system is proposed to deal with the impulsive noise and thereby improve the transmission performance.Firstly,the impulsive noise is modelled with a multi-damped sine function by analyzing the time behavior of impulse events.Then the polar codes are used to combat the impulsive noise of PLC channel,and a low complexity bit-flipping de-coding method based on CRC-aided successive cancellation list(CA-SCL)decoding algorithm is pro-posed.Simulations evaluate the proposed decoding algorithm and the results validate the suggested polar codes based OFDM-PLC scheme which can improve the BER performance of PLC with impul-sive interference.