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这里主要对LMS算法及一些改进的LMS算法(NLMS算法、变步长LMS算法、变换域LMS算法)之间的不同点进行了比较,在传统的LMS算法的基础上发展了LMS算法的应用。-here on the main LMS algorithm and some improvements to the LMS algorithm (NLMS. modified LMS algorithm, transform domain LMS algorithm) between the different points of comparison, in the traditional LMS algorithm developed on the basis of the LMS algorithm application.
Date : 2026-01-08 Size : 31kb User : 石安连

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 – 20,000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz – 16,000Hz). The test files used as information files were text files. This goal was attained both in an incoherent scheme and in a coherent scheme. Build under Matlab code, our modem uses OFDM (orthogonal frequency division multiplexing) modulation, synchronization by LMS sequence, channel estimation (no equalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of 2 or 4. To optimize the probability of error, these symbols were mapped using Gray mapping. Report-This project aim was to build wireless software modem for data communicationbetween two computers using an acoustic interface in the voice frequency range (20Hz-20000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz-20000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz-16000Hz). The test files used as information files were text files.This goal was attained both in an incoherent scheme and in a coherent scheme.Build under Matlab code, our modem uses OFDM ( orthogonal frequency divisionmultiplexing) modulation, synchronization by LMS sequence, channel estimation (noequalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of2 or 4. To optimize the probability of error, these symbols were mapped using Graymapping.Report
Date : 2026-01-08 Size : 546kb User :

本文件包括了关于自适应滤波器matlab实现的主流模拟仿真,其中包括lms,nlms,rls等等,供交流经验-This document includes the adaptive filter on matlab simulation to achieve the mainstream, including the lms, nlms, rls, etc., for exchange of experience
Date : 2026-01-08 Size : 2kb User : Lawlight

自适应均衡器实验报告lms算法matlab仿真-Experimental report adaptive equalizer lms algorithm matlab simulation
Date : 2026-01-08 Size : 309kb User : 王站

自适应滤波的MATLAB实现,介绍了LMS算法、NLMS算法和RLS算法-failed to translate
Date : 2026-01-08 Size : 6kb User : 吴华明

lms最小均方误差实现的算法 均衡实现 matlab环境-lms
Date : 2026-01-08 Size : 1kb User : kkk

阐述了自适应噪声抵消(ANC)技术的基本原理,基于自适应滤波器的原理,设计了自适应噪声抵消器 在对自适应滤波器相关理论研究的基础上,重点研究了自适应噪声抵消器的核心———LMS自适应滤波算法。在MATLAB中的Simulink下,建立了自适应噪声抵消器的模型,并通过设置不同的参数进行仿真,结果表明系统能够有效地从噪声中恢复出原始信号。最后对系统进行了性能分析,给出了自适应噪声抵消系统在实际应用中选取参考信号的要求 -This paper elaborated the basic theory of Adaptive noise cancellation technology (ANC),designed Adaptive noise canceller based on adaptive filter After studying the related theory of adaptive filter,the core of adaptive noise canceller-LMS adaptive filtering algorithm is researched emphatically.Under the Simulink of MATLAB,built the model of adaptive noise canceller and simulated through installing different parameters.The results declared the system can recover original signal from noise effectively.Finally,analyzed the function of system,and given the system requirements of selected reference signals in the practical application.
Date : 2026-01-08 Size : 394kb User : furuiling

用自适应滤波的LMS算法抵消掉混合心电信号中 母亲的心电信号-To offset mixed ECG ECG mother LMS algorithm for adaptive filtering
Date : 2026-01-08 Size : 17kb User : yanyaqi

MATLAB环境下ISI信道仿真及自适应均衡器设计程序说明.-matlab LMS
Date : 2026-01-08 Size : 81kb User : 小意

基于LMS算法基本原理及MATLAB仿真实现,带有仿真结果-Based on the basic principle of LMS algorithm and MATLAB simulation, with the simulation results
Date : 2026-01-08 Size : 126kb User :

基于LMS算法自适应滤波器的Matlab仿真分析-LMS adaptive filter algorithm based on Matlab simulation analysis
Date : 2026-01-08 Size : 49kb User : 刘军

LMS 算法、RLS 算法,通过Matlab软件仿真验证进行了性能对比。(The LMS algorithm and the RLS algorithm are compared with the performance of the Matlab software simulation.)
Date : 2026-01-08 Size : 416kb User : 紫歆
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