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1.
Siba Prasada Panigrahi Santanu Kumar Nayak Sasmita Kumari Padhy 《International Journal of Adaptive Control and Signal Processing》2008,22(7):705-716
This paper presents a neuro‐fuzzy network (NFN) where all its parameters can be tuned simultaneously using genetic algorithms (GAs). The approach combines the merits of fuzzy logic theory, neural networks and GAs. The proposed NFN does not require a priori knowledge about the system and eliminates the need for complicated design steps such as manual tuning of input–output membership functions, and selection of fuzzy rule base. Although, only conventional GAs have been used, convergence results are very encouraging. A well‐known numerical example derived from literature is used to evaluate and compare the performance of the network with other equalizing approaches. Simulation results show that the proposed neuro‐fuzzy controller, all parameters of which have been tuned simultaneously using GAs, offers advantages over existing equalizers and has improved performance. From the perspective of application and implementation, this paper is very interesting as it provides a new method for performing blind equalization. The main contribution of this paper is the use of learning algorithms to train a feed‐forward neural network for M‐ary QAM and PSK signals. This paper also provides a platform for researchers of the area for further development. Copyright © 2008 John Wiley & Sons, Ltd. 相似文献
2.
This paper presents an application of digital signal processing to data acquired by the radio imaging method (RIM) that was adopted to measure moisture distribution inside the human body. RIM was originally developed for the mining industry; we are applying the method to a biomedical measurement because of its simplicity, economy, and safety. When a two‐dimensional image was constructed from the measured data, the method provided insufficient resolution because the wavelength of the measurement medium, a weak electromagnetic wave in a VHF band, was longer than human tissues. We built and measured a phantom, a model simulating the human body, consisting of two water tanks representing large internal organs. A digital equalizer was applied to the measured values as a weight function, and images were reconstructed that corresponded to the original shape of the two water tanks. As a result, a two‐dimensional image containing two individual peaks corresponding to the original two small water tanks was constructed. The result suggests the method was applicable to biomedical measurement by the assistance of digital signal processing. This technique may be applicable to home‐based medical care and other situations in which safety, simplicity, and economy are important. 相似文献
3.
A model of a linear digital communication system is introduced and adaptive equalization in general is explained. A five-tap transversal equalizer is designed, breadboarded and tested in a 60 Mb/s burst mode modem in a quasi-linear and a non-linear channel under the following configurations:
- 1 Parabolic, linear and combination of parabolic and linear delay distortions were inserted after the non-linearity (TWTA).
- 2 Case 1 was repeated with distortions inserted before the non-linearity.
4.
王烨 《西安邮电学院学报》2009,14(5):40-42,50
首次提出一种新型数字光接收机模型,改进了其中均衡器的设计;以S.D.Personick理论为基础,推导并计算了此光接收机基于"最坏情况"下判决时刻的噪声平均功率。研究结果表明,此模型在输入脉冲展宽较为严重的情况下表现出了良好的噪声性能;进而提高了数字光接收机的灵敏度,优化了数字光纤传输系统的误码性能;为改善数字光接收机性能指标提出了新的途径。 相似文献
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针对ITU-T J.83标准,结合有线数字广播的信道特征,提出一种适用于高阶QAM信号的载波同步与自适应均衡的联合设计方案。该方案在均衡部分采用常模数算法(CMA)和最小均方误差算法(LMS)的双模均衡算法。通过算法的切换达到快速收敛和降低均方误差(MSE)的目的;针对高阶QAM信号,载波同步环路首先选用极性判决算法,并采用带宽较大的环路滤波器系数,使环路能在短时间内进行大范围频偏捕获。然后调低环路滤波器系数,减小环路带宽,进而降低稳态抖动。环路最后切换到判决指示算法,使相位均方差降至最低。整个方案通过算法验证并在Altera Stratix Ⅱ系列EP2S130F1020C5型现场可编程门阵列(FPGA)上完成了布局布线。最高工作频率为90.47MHz。 相似文献