介绍了自适应均衡器下的LMS和RLS算法的基本原理,并分析了2种算法中的忘却因子μ对LMS和RLS算法收敛性能的影响。通过仿真可知,在相同忘却因子下,RLS算法的收敛速度明显快于LMS算法,并且误差也比LMS算法小。
2021-10-04 08:51:12 193KB 自适应均衡器
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自适应算法,RLS和lms比较,从步长,收敛速度,迭代次数等等进行比较验证算法的适应范围。LMS需要有参考信号
2021-09-29 16:02:25 27KB rls
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波束形成的一些程序,包括CBF,MVDR,RLS,MUSIC等等
2021-09-28 16:02:32 16.92MB rls波束 程序算法 波束形成 波束
本代码实现了LMS/RLS回声抵消算法,由MATLAB语言编写,支持图形界面。
2021-09-28 14:05:49 4.38MB RLS A/Btest aec matlab回声
很好的各种RLS算法Matlab代码,全部都是通过MATLAB验证过的,希望对各位有用
2021-09-23 08:56:51 1.14MB RLS算法
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电信设备-OFDM系统中基于可变遗忘因子的RLS信道估计方法.zip
2021-09-18 10:00:27 982KB 资料
QRD-RLS Adaptive Filtering Jos´e Antonio Apolin´ario Jr. I feel very honoured to have been asked to write a brief foreword for this book on QRD-RLS Adaptive Filtering – a subjectwhich has been close to my heart for many years. The book is well written and very timely – I look forward personally to seeing it in print. The editor is to be congratulated on assembling such a highly esteemed team of contributing authors able to span the broad range of topics and concepts which underpin this subject. In many respects, and for reasons well expounded by the authors, the LMS algorithm has reigned supreme since its inception, as the algorithm of choice for practical applications of adaptive filtering. However, as a result of the relentless advances in electronic technology, the demand for stable and efficient RLS algorithms is growing rapidly – not just because the higher computational load is no longer such a serious barrier, but also because the technological pull has grown much stronger in the modern commercial world of 3G mobile communications, cognitive radio, high speed imagery, and so on.
2021-09-15 11:30:01 6.05MB QRD RLS Filter Adaptive
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在论坛上学习了一些关于递推最小二乘的原理和算法,参考了一些程序,写了一下关于递推最小二乘的程序,辨识结果没有问题。原理推导可以在论坛上查找。
2021-09-14 16:31:33 460B RLS 递推最小二乘法 参数辨识
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支持大众PQ平台MQB平台奥迪等系列的雨量传感器1K0955559,8K0955559C,81A955547A,81D955559A
2021-09-02 22:20:57 663KB RLS
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