离散信道

  • 网络Discrete channel
离散信道离散信道
  1. 介绍和分析了UWB信号传播的大尺度和小尺度模型,对UWB信道进行了仿真,给出了一种实际离散信道的产生方法。

    The large-scale and small-scale UWB channel models are introduced and discussed . Simulation about IEEE 802.15.3a channel model is performed and the method to produce discrete channel response is expounded .

  2. 测试的离散信道模型与信息量

    Discrete Channel Model and Information Gain of Test

  3. 基于簇和径统计特征的超宽带离散信道模型

    Discrete time ultra-wideband channel model based on statistical properties of cluster and ray arrivals

  4. 一种研究二元对称离散信道平均互信息的新方法

    A new method for studying the average mutual information of binary symmetric discrete channel

  5. 研究结果表明:对于无记忆二元对称离散信道,最大平均互信息与信息论中相同输入概率使平均互信息最大化的结果是一致的;

    We obtained the result that for the memoryless channel , the maximal average mutual information is in accordance with that the equivalent input probability can give according to the information theory .

  6. 在有干扰(噪声)无记忆信道和有记忆信道两种情况下,运用协同学的方法研究如何分配输入概率获取二元对称离散信道最大的平均互信息。

    We use the synergetics to study how to allocate input probability in the binary symmetric discrete channel in order to maximize average mutual information for memoryless and memory channels with interference .

  7. 对于干扰(噪声)有记忆二元对称离散信道,考虑输入、输出符号满足不同程度的记忆度和干扰(噪声)因子情况下,得到符号最佳输入概率。

    Moreover , we also studied the binary discrete memory channel with interference ( noise ), taking into account the input and output symbols having different memory degree and interference factor , and finally obtained the symbol optimized input probability .

  8. 研究了使用相对熵来区分离散量子信道和连续变量量子信道的方法。

    We use relative entropy to distinguish discrete variable and continuous variable quantum channels . 4 .

  9. 论文分别在不同离散时间信道下和同一离散时间信道但却不同的抽头下分析线性均衡器均衡效果。

    Two cases are analyzed : one is in different discrete-time channels , and the other is in the same channel but having different taps .

  10. 该文提出了一种新的离散数字信道盲估计算法,运用格状图中的一步支路转移规则,大大削减了最佳估计所要求的计算量。

    A novel discrete-time digital channel blind estimation algorithm is proposed , which reduces the complexity of the optimal estimation considerably by using the one-step branch transition rules of trellis .

  11. 离散多频信道上的SVQ成形方法

    An SVQ Shaping Method on the Discrete Multi Tone Channel

  12. 最近的研究指出在有差错的随机网络编码信道上进行数据包多播可以等效为在线性算子信道(LOC)上传送子空间符号,LOC是一个定义在有限域射影空间上的离散无记忆信道。

    Abstract & Recent research indicates that packet multicasting employing random lin-ear network coding can be regarded as transmitting subspaces as symbols over a linear operator channel ( LOC ), a discrete memoryless unicast subspace channel over some finite field .

  13. 关于准对称离散无记忆信道容量两个定理的等价性

    The Two Theorems Equivalent of the Para-symmetry DMC Capacity Testify

  14. 离散无记忆信道的容量价值函数和信道编码定理。

    The capacity-cost function of discrete memoryless channel , and channel coding theorem .

  15. 离散无记忆信道编码定理

    Coding theorem for discrete channel with zero-memory

  16. 在中继窃听信道的基础上,提出了有多级中继的窃听信道的模型,推导了离散无记忆信道下的疑义速率范围及可达安全速率的表达式。

    The multiple-level relay-eavesdropper channel is proposed , the equivocation rate and the achievable secrecy rate are derived in discrete memoryless channel , and the decoding strategy is improved .

  17. 在此基础上,对认知信道模型进行了速率拆分改造,证明了一个新的可达速率域。将可达速率结果从离散无记忆信道推广到高斯信道,取得了一些数值结果。

    Based on this , a new achievable rate region in discrete memoryless channel is obtained by modifying the model with rate splitting . Then the channel alters to Gaussian condition and some numerical results are calculated .

  18. 数字集群系统离散接入主控信道的性能分析和评价

    The Performance Analysis and Evaluation of Main Control Channel of Digital Trunking System Based on the Discrete Access Algorithm

  19. 在多中继节点条件下,首先讨论了离散无记忆中继信道和高斯中继信道的两中继信道容量,进一步推广到了多个中继的网络容量。

    Focused on multi-relay network , discrete memoryless relay channel and the Gaussian relay channel are considered for first step , and further extended to multiple relay networks .

  20. 本文首先讨论了该模型的离散化,提取了离散化信道模型的参数。离散化的信道模型便于分析超宽带信道的信道容量。

    The continuous time model was sampled in this thesis , and the parameters of the discrete time model were given .

  21. 以联合编码的观点讨论了离散平稳各态历经信源及离散无记忆信道的联合编码系统实现无失真可靠通信的充要条件。

    In view of joint source-channel coding , a joint coding theorem for ergodic discrete source and discrete memoryless channel is presented .