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Description: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS
算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同
信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program.
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Size: 191488 |
Author: 宋 |
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Description: 自适应均衡器的LMS算法实现及其仿真 :自适应均衡器已广泛应用于通信、雷达、声纳、控制和生物医学工程等许多领域,为克服多径衰落和信道失真
引起的码间干扰,实时跟踪移动通信信道的时变特性,笔者设计了一个基于LMS 算法的自适应线性均衡器,并通过改变步
长因子Δ来分析其收敛速度和均方误差特性.-Adaptive equalizer of LMS algorithm and its simulation
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Size: 306176 |
Author: 彭曾璐 |
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Description: 基于lms算法的自适应均衡器 比较不错的一个pdf文件-Lms algorithm based on adaptive equalizer is doing relatively well in a pdf file
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Size: 192512 |
Author: cc |
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Description: Iterative receiver design一书的源码-Matlab source code of iterative receiver design
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Size: 49152 |
Author: 陈鹏 |
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Description: Abstract—2×2 unitary precoding based on receiver feedback
is applied alongside spatial multiplexing at the base station in
HSDPA (D-TxAA) when the mobile terminal supports MIMO
transmissios [1]. This precoding will influence achievable sumrate
of the MIMO channel if it influences the Signal-to-
Interference-plus-Noise Ratio (SINR) of streams at the receiver
(RX) output. We propose a set of MIMO HSDPA receivers, all
based upon a LMMSE chip-level matrix filter (equalizer) front
end, and introduce the notion of joint bias for the MIMO chip
equalizer. Statistical properties of the spatial model thus obtained
are exploited to analyze the performance of proposed MIMO
receivers. It is shown that precoding choice depends upon the
MIMO receiver and the extent of its impact depends on the
MIMO RX.
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Size: 195584 |
Author: ashish |
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Description: HTML & CSS covers structure, text, links, images, tables, forms, useful options, adding style with CSS, fonts, colors, thinking in boxes, styling lists and tables, layouts, grids, and even SEO, Google analytics, ftp, and HTML5. JavaScript & jQuery offers an excellent combined introduction to these two technologies using a clear and simple visual approach using diagrams, infographics, and photographs.
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Size: 457728 |
Author: aawda
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