不稳定与稳定的自回归噪声的高斯频道的容量增长
Charalambos D Charalambous1, Christos Kourtellaris1, Stelios Louka1
1Department of Electrical and Computer Engineering, University of Cyprus, P.O. Box 20537, CY-1678 Nicosia, Cyprus.
Entropy (Basel, Switzerland)
|December 24, 2025
概括
这项研究得出了非静止噪声的附加高斯噪声通道的反能力公式. 与稳定的区域相比,不稳定的噪音区域显示出显著的容量增长,揭示了不同的ergodic和nonergodic制度.
科学领域:
- 信息理论 信息理论
- 通信系统工程 通信系统工程
- 信号处理 信号处理
背景情况:
- 检查添加高斯噪声 (AGN) 通道的反容量配方.
- 共同考虑高斯式,非静止式和非埃尔戈迪式噪声场景.
- 解决了稳定噪声现有容量公式的局限性.
研究的目的:
- 为具有不稳定和稳定的自回归 (AR) 噪声的AGN通道推导闭式反容量公式.
- 调查AR噪声参数 (极点,方差) 的影响,并对反能力传输功率.
- 描述反能力的不同运行模式.
主要方法:
- 使用卡鲁什-库恩-塔克尔 (KKT) 条件.
- 将差异里卡蒂方程的收性质应用于限制代数里卡蒂方程.
- 分析不稳定和稳定的自回归噪声模型.
主要成果:
- 取决于AR噪声参数和传输功率的封闭式反容量公式.
- 与稳定的区域相比,在不稳定的噪音区域观察到大量的产能增长.
- 根据噪声特征和功率分配,识别出三种不同的反容量 (ergodic 和 nonergodic) 制度.
结论:
- 在不稳定的噪音模式下,由于噪音样本相关性和信息通道输入,反能力显著增强.
- 这些发现澄清了不同容量制度的运行意义,区分了 ergodic 和 nonergodic 容量.
- 提供了关于容量公式在非静止噪声的背景下有效性的开放问题的答案.
相关概念视频
Propagation of Uncertainty from Random Error
1.6K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.6K
Propagation of Uncertainty from Systematic Error
1.2K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.2K
BIBO stability of continuous and discrete -time systems
866
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
866
Random Error
7.6K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
7.6K
Linear time-invariant Systems
839
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
839
Effects of feedback
946
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
946

