基于生成矩阵的LDPC/Turbo码的构造及内外迭代译码新技术

美国相关公司在美国对中国维生素C生产企业提起“价格串通”的美国反托拉斯(反垄断)诉讼。这是中国企业第一次面临美国的反托拉斯诉讼的域外管辖。本文分析的案例报告主要涉及中国企业试图从程序方面即根据“国家强迫行为”理论来申请中止证据调查程序。本文在对该案归纳的基础上,还就本案可能涉及的其他问题,如对美国反托拉斯法的域外适用的抗辩理由;美国反托拉斯法上价格串通构成的要素进行了评析。此外,本案还提醒我国行业协会和企业在应对美国反倾销指控的同时,需防止被指控价格串通而触犯后果更为严厉的美国反托拉斯法。     

TD-SCDMA终端系统384 kbps Turbo 码译码解决方案

本文运用产品出口相似度指数以及显性比较优势指数和贸易互补性指数,对中国与印度工业制品出口结构进行了实证分析,得出中国与印度产品出口结构较为相似,但出口相似度有所减弱。中国和印度显性比较优势产品都集中在劳动密集型产品上,具有一定的竞争关系。总体来看,中印之间双边贸易具有一定潜力,但两国在工业制品上的贸易互补性较低。最后本文给出了中国出口结构优化的建议。     

MAP算法在Turbo码译码中的应用和研究进展

对Turbo码译码算法进行了综述,包括SOVA、MAP、LOG-MAP、MAX-LOG-MAP等算法,并对这几种算法进行了比较。同时根据近年来对Turbo码译码算法的研究,对几种新的译码算法进行了介绍和讨论。     

一种高效的Turbo码硬件实现算法

针对Turbo码译码实现中硬件消耗、时延和纠错性能之间的矛盾，对Turbo码硬件实现中的译码算法进行了优化研究，提出了一种基于MAX-Log-MAP算法的高效Turbo码硬件实现算法。实验表明，本文所实现的Turbo码是硬件消耗与译码性能的良好折衷。     

Turbo码的Taylor-Log_MAP译码算法

以Turbo码基本理论和算法为基础,依据无线信息传输的实际要求和Taylor级数的基 本原理,提出了一种Turbo码的Taylor-Log-MAP高效译码算法。该算法对基本的Log-MAP 算法中K运算利用Taylor级数进行展开,针对实际的信道需求对展开式进行截断,实现了Tur bo码 的最佳译码。与传统的对数域最大后验概率译码算法相比,该算法基本保持了优良的译码 性能,同时避免了复杂的对数运算,减小了运算量。仿真结果表明,与现 有的RS码性能相比,使用Turbo码可以获取5 dB的信噪比增益。     

Winning the new channel war on Amazon and third-party platforms

The top online marketplaces in the world, including Alibaba, Amazon, and eBay, sold $2.7 trillion in 2020, or 62% of global web sales that year. Despite the promise of unfettered access to customers, the reality is that most sellers struggle with unprecedented and unauthorized rogue resellers. These often anonymous, third-party individuals and firms may not provide the quality experiences aligned with customers’ expectations of a brand and often market their goods in competition with trusted partners. This requires a systematic battle plan to effectively protect the seller’s brand equity, service promise, and authorized distribution network. We describe the channel war that is at work and the forces fueling its development. We explain how rogue reseller activities drive down pricing, increase channel competition and conflict, impact the customer experience, and harm brand equity. We recommend revising product policies, procedures, and agreements to begin to differentiate products from those sold by unauthorized parties. We also recommend a legal strategy to complement these efforts. Critical steps include regular and active enforcement as well as implementing services, benefits, and quality controls for the brand’s products that cannot be replicated by unauthorized sellers and requiring authorized distributors and retailers to maintain those benefits and controls.     

OFDM系统的对数似然比最大化盲频偏估计算法

为了消除短波OFDM通信中的频率偏移问题,对差分OFDM信号进行了分析,并对最大 后验概率（MAP）译码的性质进行了研究,提出了一种似然比最大化的迭代盲频偏估计 算法。由于该算法充分利用了软译码得到的似然比信息,因此可以实现最优信号检测。计算 机仿真证明了该算法的有效性。进行了短波OFDM信号通信实验,得到了实测数据。实测数据 检测结果表明,该算法的误码率性能随着迭代次数的增加而提高,且一发两收系统性能要比 单发单收系统性能至少提高2 dB。     

基于MAP矩阵的绿色产品设计方法探索

从绿色设计进行设计思考,以通过设计引导和促成民众的节能消费行为为核心目标,分析了绿色设计原则、设计视角与设计目标之间的整合关系,构建了针对绿色设计的MAP矩阵,并结合设计实践进行方法应用,从而探索通过MAP矩阵的绿色产品设计。     

基于动态模式的管理才能评鉴系统评述

管理才能评鉴是最近在欧美一些大企业比较流行的一个动态管理才能评鉴系统。它是将管理才能的评鉴和管理才能的开发结合起来,把组织的需求和管理人员个体的需求结合起来的一套评鉴系统,也是一个客观、科学的评量工具。本文将在介绍这个系统后,对其做出客观的评价。     

Wavelet thresholding for some classes of non–Gaussian noise

Wavelet shrinkage and thresholding methods constitute a powerful way to carry out signal denoising, especially when the underlying signal has a sparse wavelet representation. They are computationally fast, and automatically adapt to the smoothness of the signal to be estimated. Nearly minimax properties for simple threshold estimators over a large class of function spaces and for a wide range of loss functions were established in a series of papers by Donoho and Johnstone. The notion behind these wavelet methods is that the unknown function is well approximated by a function with a relatively small proportion of nonzero wavelet coefficients. In this paper, we propose a framework in which this notion of sparseness can be naturally expressed by a Bayesian model for the wavelet coefficients of the underlying signal. Our Bayesian formulation is grounded on the empirical observation that the wavelet coefficients can be summarized adequately by exponential power prior distributions and allows us to establish close connections between wavelet thresholding techniques and Maximum A Posteriori estimation for two classes of noise distributions including heavy–tailed noises. We prove that a great variety of thresholding rules are derived from these MAP criteria. Simulation examples are presented to substantiate the proposed approach.