Description: 自适应均衡器的MATLAB实现 介数为64
结果正确 可以直接使用-MATLAB adaptive equalizer to achieve the results referred to 64 the number of correct use can Platform: |
Size: 1024 |
Author:xufei |
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Description: 此程序是LMS算法实现的一个自适应均衡器,均衡器选取的信道抽头数是11。-the program is adaptive equalizer using Lms to achieve.the channel tap is 11. Platform: |
Size: 1024 |
Author:cxx |
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Description: 。本文研究了SC-FDE系统中的最小均方误差判决反馈
均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法，
MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟
踪信道变化并更新均衡器的抽头系数，其性能略优于最小
均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback
Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms
MATLAB simulation results show that LMS adaptive equalization algorithm as effective with
Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum
Mean square error decision feedback equalization algorithm. Platform: |
Size: 3706880 |
Author:姜烨 |
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Description: adaptive equalizer Hanning code DIGITAL SIGNAL PROCESSING USING MATLAB-adaptive equalizer Hanning codeDIGITAL SIGNAL PROCESSING USING MATLAB Platform: |
Size: 739328 |
Author:allan |
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Description: 主要完成RLS自适应均衡，并且给出了与LMS算法的比较-Completed for RLS adaptive equalizer, and gives the comparison with the LMS algorithm Platform: |
Size: 2048 |
Author:xingzhang |
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Description: Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI problem. In this
paper performance of communication link in presence of Least Mean
Square and Recursive Least Squares equalizer algorithm is analyzed.
A Model of communication system having Quadrature amplitude
modulation and Rician fading channel is implemented using
MATLAB communication block set. Bit error rate and number of
errors is evaluated for RLS and LMS equalizer algorithm, due to
change in Signal to Noise Ratio (SNR) and fading component gain in
Rician fading Channel. Platform: |
Size: 400384 |
Author:pravin jadhav |
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Description: This program allows the application of the Decision Feedback equalizer by lms adaptive algorithm Platform: |
Size: 2048 |
Author:Toto |
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Description: 在DSP实现自适应均衡器的程序，LMS算法，对于学习MATLAB有一定用处。-Adaptive equalizer in the DSP program, LMS algorithm, MATLAB has some use for learning. Platform: |
Size: 1024 |
Author:juechenxia |
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Description: DSP上用MCMA算法设计自适应均衡器学通信的可以看看，在MATLAB中有所涉及。-DSP algorithm design on the use of MCMA learn communication adaptive equalizer can see, in MATLAB, has been involved. Platform: |
Size: 1024 |
Author:juechenxia |
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Description: MATLAB实现自适应均衡器，对于运用MATLAB的通信专业的学生有用。-MATLAB adaptive equalizer, the use of MATLAB for communication majors useful. Platform: |
Size: 1024 |
Author:juechenxia |
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Description: This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature
amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension
of the equalizer, are first utilized to provide a rough initial least-squares estimate of the equalizer’s weight vector. A
novel gradient-Newton concurrent constant modulus algorithm and soft decision-directed scheme are then applied to adapt
the equalizer. The proposed semi-blind adaptive algorithm is capable of converging fast and accurately to the optimal
minimum mean-square error equalization solution. Simulation results obtained demonstrate that the convergence speed of this
semi-blind adaptive algorithm is close to that of the training-based recursive least-square algorithm Platform: |
Size: 185344 |
Author:yh |
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Description: 利用LMS自适应滤波器原理实现均衡器的设计。并对不同N时的滤波器进行比较-The use of LMS adaptive equalizer filter to achieve the principle Platform: |
Size: 1024 |
Author:刘 |
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Description: LMS自适应均衡器算法，里面有比较详细的解释说明，适合初学者参考。-LMS adaptive equalizer algorithm, which has more detailed explanations, suitable for beginners reference. Platform: |
Size: 1024 |
Author:zhangjing |
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Description: 均衡效果好，这是基于最大似然估计的均衡器-With the development of high-speed optical fiber communication systems, polarization
mode dispersion (PMD) has become a vital limiting factor. However, the traditional
compensation methods which in optical domain have the disadvantages of complexity and cost.
In recent years, the compensation methods which in electronic domain are given more attention
because of their outstanding price advantage and their strong adaptability.
The maximum-likehihood sequence estimation (MLSE) equalizer based on the Viterbi
algorithm was designed in this paper.The MLSE equalizer can effectively compensate the
intersymbol interference caused by polarization mode dispersion (PMD). First, the background
and the spectrum of the text were introduced also the principles of PMD and the FFE/DFE
equalizer were analysed. Second, the principles of Viterbi and the structure of MLSE were
researched also the MLSE equalizer was simulated with the Matlab program in the optical fiber
communication systems. T Platform: |
Size: 1383424 |
Author:心语蜗牛 |
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