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Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252)最新文献

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Spatial communication capacity based on electromagnetic wave equations 基于电磁波方程的空间通信容量
J. Hui, C. Bi, Hongxia Sun
We study directly the geometric properties of electromagnetic waves to derive the channel capacity of multiple antenna systems. Spatial system transfer functions and spatial sampling theory are used, instead of the usual independent and complex Gaussian assumption.
我们直接研究电磁波的几何特性,从而推导出多天线系统的信道容量。采用空间系统传递函数和空间抽样理论代替了通常的独立复杂高斯假设。
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引用次数: 10
On interleaver design for serially concatenated convolutional codes 串级卷积码的交织器设计
Ralph Höst, Stefan Johannesson, Ralph Jordan
Serially concatenated convolutional codes are considered. The free distance of this construction is shown to be lower-bounded by the product of the free distances of the outer and inner codes, if the precipices of the interleaver are sufficiently large. It is shown how to construct a convolutional scrambler with a given precipice.
考虑串行连接的卷积码。如果交织器的悬崖足够大,则该结构的自由距离由内外码的自由距离的乘积表示为下限。给出了如何用给定的悬崖构造卷积扰频器。
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引用次数: 6
Output distributions of lossless encoders with side information 带有侧信息的无损编码器的输出分布
J. Muramatsu, H. Koga, T. Mukouchi
We present that the output distribution of lossless source encoders with correlated side information is asymptotically independent of the side information. Based on this, we can construct a random number generator that produces mutually asymptotically independent random sequences from random sequences emitted from correlated sources.
我们提出了具有相关边信息的无损源编码器的输出分布与边信息渐近无关。在此基础上,我们可以构造一个随机数生成器,从相关源发出的随机序列中产生相互渐近独立的随机序列。
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引用次数: 1
On the undetected error probability for binary codes 关于二进制代码未检测到的错误概率
Fang-Wei Fu, T. Kløve, V. Wei
In this paper, the undetected error probability for binary codes is studied. A new proof of Abdel-Ghaffar's (see IEEE Trans. Inform. Theory, vol.43, no.5, p.1489-1502, Sept. 1997) lower bound on the undetected error probability is presented. Further, a lower bound for the binomial moments of the distance distribution of binary constant weight codes is derived, and this yields a lower bound on the undetected error probability for binary constant weight codes. Finally, a lower bound on the undetected error probability of binary linear codes for single-error correction and detection of further errors is presented.
本文研究了二进制码的未检测错误概率。Abdel-Ghaffar的新证明(参见IEEE Trans)。通知。理论,第43卷,no。(5), p.1489-1502, Sept. 1997)给出了未检测误差概率的下界。进一步,导出了二元常权码距离分布的二项式矩的下界,从而得到了二元常权码的未检测错误概率的下界。最后,给出了二元线性码的单错误校正和进一步错误检测的未检测错误概率的下界。
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引用次数: 15
Spectral analysis of high order correlation immune functions 高阶相关免疫功能的频谱分析
Y. Tarannikov, D. Kirienko
We consider F/sub 2//sup n/, the vector space of n-tuples of elements from F/sub 2/. An n-variable Boolean function is a map from F/sub 2//sup n/ into F/sub 2/. The weight of a vector x is the number of ones in x and is denoted by |x|. The weight wt(f) of a function f on F/sub 2//sup n/ is the number of vectors x on F/sub 2//sup n/ such that f(x)=1. A function f is said to be balance if wt(f)=wt(f/spl oplus/1)=2/sup n-1/. A subfunction of the Boolean function f is a function f/spl acute/ obtained by substituting some constants for some variables in f.
我们考虑F/下标2//sup n/, F/下标2/的n元元素的向量空间。一个n变量布尔函数是从F/sub 2//sup n/到F/sub 2/的映射。向量x的权值是x中1的个数,用|x|表示。函数f在f /下标2//sup n/上的权值wt(f)等于f /下标2//sup n/上使f(x)=1的向量x的个数。函数f是平衡的,如果wt(f)=wt(f/spl + /1)=2/sup n-1/。布尔函数f的一个子函数是一个函数f/spl急性/通过将f中的某些变量替换为某些常数而得到。
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引用次数: 19
Sphere-covering and measure concentration as source coding theorems 作为源编码定理的球覆盖和测度浓度
Ioannis Kontoyiannis
We state and solve a general version of the rate-distortion problem. We show that its answer contains, as corollaries: (i) Stein's lemma in hypothesis testing; (ii) Shannon's (1959) lossy source coding theorem; and (iii) new converses to measure-concentration inequalities.
我们陈述并解决了一般版本的汇率扭曲问题。作为推论,我们证明其答案包含:(i)假设检验中的Stein引理;(ii)香农(1959)有损源编码定理;(三)衡量集中度不平等的新反义词。
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引用次数: 0
On Gallager-type bounds for the mismatched decoding regime with applications to turbo codes 不匹配译码的gallager型边界及其在turbo码中的应用
I. Sason, S. Shamai
The generalized Duman & Salehi (see IEEE Trans. on Communications, vol.46, no.6, p.717-23, 1998) bound is used in the realm of mismatch decoding metric for random and deterministic codes. In the random coding case with a proper restriction of the random ensemble, the technique reconstructs the Csizar-Korner-Hui lower bound. For deterministic codes, the bound is given in terms of the distance spectrum of the code and the results are demonstrated for fading channels with an estimate of the fading channel state information.
广义的Duman & Salehi(参见IEEE译)。《通讯》,第46卷,第6号。在随机码和确定性码的错配译码度量领域中使用了界。在随机编码的情况下,在适当限制随机集合的情况下,该技术重建了Csizar-Korner-Hui下界。对于确定性码,根据码的距离谱给出了边界,并通过对衰落信道状态信息的估计证明了结果。
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引用次数: 2
Combined turbo coding and unitary space-time modulation turbo编码与酉空时调制的组合
I. Bahceci, T. Duman
We present a scheme employing turbo codes together with unitary space-time constellations for Rayleigh block fading channels when no channel state information (CSI) is available. We present via simulations that coding gains up to 16 dB is possible over the original uncoded system at a bit error rate of 10/sup -5/.
针对无信道状态信息的瑞利块衰落信道,提出了一种采用turbo码和统一时空星座的方案。我们通过模拟表明,在误码率为10/sup -5/的情况下,编码增益可达16 dB。
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引用次数: 91
On the classical capacity of a quantum multiple-access channel 量子多址信道的经典容量
G.V. Klimovitch
We analyze the quantum adder channel, i.e. the extension of a classical multiple-access additive binary channel to the quantum regime, in which quantum bits (qubits) rather than classical bits are transmitted. Quantum entanglement between different transmitters and/or the receiver results in a significant expansion of the capacity region of the channel, in comparison with its classical counterpart, a property which can be used, e.g., to considerably improve bandwidth efficiency of fiber communication networks in the future.
我们分析了量子加法器信道,即经典多址加性二进制信道在量子域的扩展,其中传输的是量子比特(qubits)而不是经典比特。不同发射器和/或接收器之间的量子纠缠导致信道容量区域的显着扩展,与其经典对应物相比,可以使用的特性,例如,在未来大大提高光纤通信网络的带宽效率。
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引用次数: 11
Sensor placement in distributed sensor networks using a coding theory framework 使用编码理论框架的分布式传感器网络中的传感器放置
K. Chakrabarty, S. Iyengar
An important issue in the design of distributed sensor networks is the optimal placement of sensors for target location. If the surveillance region, also referred to as the sensor field, is represented as a grid (two- or three-dimensional) of points (coordinates), target location refers to the problem of pin-pointing a target at a grid point at any point in time. For enhanced coverage, a large number of sensors are typically deployed in the sensor field, and if the coverage areas of multiple sensors overlap, they may all report a target in their respective zones. The precise location of the target must then be determined by examining the location of these sensors. Target location can be simplified considerably if the sensors are placed in such a way that every grid point in the sensor field is covered by a unique subset of sensors. The sensor placement problem for target location is closely related to the alarm placement problem, which refers to the problem of placing "alarms" on the nodes of a graph G such that a single fault in the system can be diagnosed. The alarms are therefore analogous to sensors in a sensor field. It was shown by Rao (1993) that the alarm placement problem is NP-complete for arbitrary graphs. However, for restricted topologies, e.g. a set of grid points in a sensor field, a coding theory framework can be used to efficiently determine sensor placement. The sensor locations correspond to codewords of an identifying code constructed over the grid points in the sensor field.
分布式传感器网络设计中的一个重要问题是如何优化传感器的位置以实现目标定位。如果将监视区域(也称为传感器场)表示为点(坐标)的网格(二维或三维),则目标定位是指在任何时间点的网格点上精确定位目标的问题。为了增强覆盖,通常在传感器场中部署大量传感器,如果多个传感器的覆盖区域重叠,它们可能都在各自的区域报告一个目标。然后必须通过检查这些传感器的位置来确定目标的精确位置。如果传感器以这样一种方式放置,即传感器场中的每个网格点都由一个唯一的传感器子集覆盖,则可以大大简化目标位置。目标定位的传感器放置问题与报警放置问题密切相关,报警放置问题是指将“报警”放置在图G的节点上,从而可以诊断出系统中的单个故障。因此,警报类似于传感器领域中的传感器。Rao(1993)证明了任意图的报警放置问题是np完全的。然而,对于有限的拓扑结构,例如传感器场中的一组网格点,可以使用编码理论框架来有效地确定传感器的位置。传感器位置对应于在传感器场中的网格点上构造的识别码的码字。
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引用次数: 8
期刊
Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252)
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