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This project aim was to build wireless software modem for data communication
between two computers using an acoustic interface in the voice frequency range (20Hz–
20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz –
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研究利用RLS算法自适应均衡器纠正存在加性白噪声的信道的畸变。讨论特征值扩散度 对学习曲线的影响。 比较RLS算法和LMS算法在不同信噪比情况下的学习曲线。
-RLS algorithm using adaptive equalizer to correct the existence of additive white noise distortion channel. Eigenvalue discussion diffusivity impact on the learning cur
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本程序是在MATLAB中对LMS均衡算法的通信仿真。-This procedure is in the MATLAB algorithm of LMS balanced communication simulation.
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基于matlab和C，包括LMS,CMA,MCMA自适应均衡器的程序和论文，论文说明很详细，可以提供相关参考-Including the LMS, CMA, MCMA adaptive equalizer procedures and papers, research papers explain in great detail and can provide relevant information
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在MATLAB中，使用LMS算法实现自适应均衡器，通过改变收敛因子和滤波器阶数就可以仿真均衡器的收敛速度和精度。-In MATLAB, use the LMS algorithm adaptive equalizer by changing the order of the convergence factor and the filter can simulate the equalizer on the convergence speed and accuracy.
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介绍了一种基于最小均方算法(LMS 算法) 的自适应均衡器的原理与结构，针对用硬件实现LMS算法的自适应均衡器存在的诸多缺点，运运用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与与精度进行仿真，并介绍了该仿真程序源码。 可直接使用。
-Based on the principle and the structure of the adaptive equalizer in the least mean square algorithm (LMS algorithm
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