基于错误特征的MLC闪存最小和译码算法

由于多级单元(multi level cell,MLC)闪存存储信道中随机电报噪声(random telegraph noise,RTN)、〖JP〗数据保持噪声(data retention noise,DRN)和单元间干扰(cell-to-cell interference,CCI)严重影响了MLC闪存阈值电压,从而导致获取的对数似然比(log-likelihood ratio,LLR)不够准确而影响了软判决译码时MLC闪存的低密度校验(low-density parity-check codes,LDPC)码的性能。在深入分析MLC闪存错误特征的基础上,通过利用MLC阈值电压的熵函数计算相邻MLC阈值电压分布的重叠区域来确定存储比特的可靠度,设计了MLC存储比特LLR值的动态更新策略。从而,提出了RTN、DRN和CCI噪声模型下适用于MLC闪存的LDPC码改进的最小和译码算法。仿真结果表明,与传统的LDPC码最小和译码算法相比较,MLC闪存信道下所改进的MLC闪存的LDPC码最小和译码算法具有更好的译码性能与更少的平均迭代次数。     

分数阶域噪声预测判决反馈均衡方法的研究

针对单载波频域均衡中噪声预测判决反馈均衡结构,介绍了一种基于独特字块结构的分数阶域噪声预测均衡方法,即将接收端的时域信号转换到分数阶域实现噪声预测判决反馈均衡。分数阶域的判决反馈均衡在保持前馈与反馈部分相互独立的同时,还利用了分数阶域信号的灵活性使均衡效果更好;与此同时,利用独特字的已知特性,在接收端将独特字和有用数据分开,再进行分数阶域均衡处理,恢复出原始数据。仿真结果表明,基于独特字的分数阶域噪声预测判决反馈方法相比传统基于循环前缀的均衡方法性能有很大提升。     

基于概念格的稀疏数据协同过滤校正自然噪声方法

针对推荐系统中存在的自然噪声问题, 提出一种基于概念格的稀疏数据协同过滤校正自然噪声的方法. 首先将用户和项目划分为强、 平均和弱三类检测自然噪声, 然后采用基于概念格的稀疏数据协同过滤校正这些自然噪声, 最后从获得的无自然噪声数据集中预测未评级的项目. 在含自然噪声的数据集上进行实验的结果表明, 该方法具有较高的推荐精度, 且在数据稀疏的情形下仍具有良好的性能.     

一种自适应的鲁棒性矩阵补全方法

针对传统矩阵补全无约束优化模型在处理奇异噪声损坏的缺失矩阵时鲁棒性较差的问题, 提出一种自适应的鲁棒性矩阵补全方法. 该方法在目标函数中使用截断核范数作为秩函数旳低秩逼近, 并采用对奇异噪声鲁棒的F范数作为损失项恢复矩阵中的缺失值, 以降低异常值对算法的影响, 提高恢复精确度. 在求解该模型过程中, 先采用凸优化技巧引入一个动态权重参数, 此参数可在更新恢复值时根据当次恢复误差大小自适应地调节下一次更新, 再进一步建立求解优化问题的有效迭代方法. 实验结果表明, 该算法在处理被奇异噪声损坏的矩阵时有较好的鲁棒性和精确性, 从而可得到更好的图像修复效果.     

风险承担、信息不透明与股价同步性

基于非理性行为假说,以信息透明度为切入点,实证检验了风险承担与股价同步性之间的关系.研究结果表明:在受噪音驱动较明显的中国资本市场中,企业风险承担水平与股价同步性呈负相关关系,一系列稳健性测试支持了文章基本结论.进一步分析显示,管理层为缓解风险承担带来的财务困境和代理冲突,采取盈余管理等手段隐藏公司信息是这种关系的内在机制;过度自信的管理者会加剧风险承担与股价同步性之间的负向关系.研究结论首次为风险承担与股价同步性之间的关系提供了理论解释和经验证据,其重要启示是:虽然风险承担降低了股价同步性,但其看似利好的背后并非更多的特质信息披露,也并非更高的市场定价效率,而是更低的公司透明度和更多的机会主义行为.     

Restoring particle phenomenology

No-go theorems are known in the literature to the effect that, in relativistic quantum field theory, particle localizability in the strict sense violates relativistic causality. In order to account for particle phenomenology without particle ontology, Halvorson and Clifton (2002) proposed an approximate localization scheme. In a recent paper, Arageorgis and Stergiou (2013) proved a no-go result that suggests that, even within such a scheme, there would arise act–outcome correlations over the entire spacetime, thereby violating relativistic causality. Here, we show that this conclusion is untenable. In particular, we argue that one can recover particle phenomenology without having to give up relativistic causality.     

Interpretation neutrality in the classical domain of quantum theory

I show explicitly how concerns about wave function collapse and ontology can be decoupled from the bulk of technical analysis necessary to recover localized, approximately Newtonian trajectories from quantum theory. In doing so, I demonstrate that the account of classical behavior provided by decoherence theory can be straightforwardly tailored to give accounts of classical behavior on multiple interpretations of quantum theory, including the Everett, de Broglie–Bohm and GRW interpretations. I further show that this interpretation-neutral, decoherence-based account conforms to a general view of inter-theoretic reduction in physics that I have elaborated elsewhere, which differs from the oversimplified picture that treats reduction as a matter of simply taking limits. This interpretation-neutral account rests on a general three-pronged strategy for reduction between quantum and classical theories that combines decoherence, an appropriate form of Ehrenfest׳s Theorem, and a decoherence-compatible mechanism for collapse. It also incorporates a novel argument as to why branch-relative trajectories should be approximately Newtonian, which is based on a little-discussed extension of Ehrenfest׳s Theorem to open systems, rather than on the more commonly cited but less germane closed-systems version. In the Conclusion, I briefly suggest how the strategy for quantum-classical reduction described here might be extended to reduction between other classical and quantum theories, including classical and quantum field theory and classical and quantum gravity.     

Minimum geometric power distortionless response beamforming against heavy-tailed noise of unknown statistics

A minimum geometric power distortionless response beamforming approach against impulsive noise(including all αstable noise) of unknown statistics is proposed.Due to that definite logarithmic moments require no priori knowledge of impulsive noise,this new beamformer substitutes the logarithmic moments for the second-order moments and iteratively minimizes the geometric power of the beamformer's output snapshots,subjected to a linear constraint.Therefore,the proposed beamformer can provide significantly highe...     

进气噪声源提取和空滤器声学性能优化

测量了安装不同声学负载时某发动机的进气噪声.运用基于四负载的最小二乘法提取了进气噪声源，并计算安装某一负载时的进气噪声，与实验值进行对比.结果表明，在大部分频率范围内，仿真值与实验值吻合较好，说明提取的声源准确可靠.运用有限元方法计算原空滤器的声学特性，结合进气噪声源，计算安装空滤器时进气噪声的阶次成分，确定需要消声的频率点，通过增设和改进消声元件，达到了降噪的目的.     

阵列测向系统中应用四阶累积量算法抑制杂散噪声与干扰

阵列测向中空间相关噪声、杂散的多径反射噪声以及空间杂散干扰是影响测向性能的较大因素。高阶累积量具有抑制这样的杂散噪声与干扰的性能。本文理论分析了这一性能的基本原理，给出了实验结果。