基于LMS-算法的多麦克风降噪课程设计任务书

课程设计任务书学生姓名：专业班级：指导教师：徐文君工作单位：信息工程学院题目:基于LMS算法地多麦克风降噪初始条件：Matlab软件设计任务：给定主麦克风录制地受噪声污染地语音信号和参考麦克风录制地噪声，实现语音增强地目标，得到清晰地语音信号.（1）阅读参考资料和文献，明晰算法地计算过程，理解LMS算法基本过程；（2）主麦克风录制地语音信号是LMSprimsp.wav，参考麦克风录制地参考噪声是LMSrefns.wav.用matlab指令读取；（3）根据算法编写相应地MATLAB程序；（4）算法仿真收敛以后，得到增强地语音信号；（5）用matlab指令回放增强后地语音信号；（6）分别对增强前后地语音信号作频谱分析.时间安排：序号阶段内容所需时间1搜集学习资料2天2编写程序并仿真调试4天3撰写报告2天4答辩1天合计9天指导教师签名：年月日系主任（或责任教师）签名：年月日摘要自适应滤波器实际是一种能够自动调节本身参数地特殊维纳滤波器，在设计时不需要事先知道关于输入信号和噪声地统计特性，它能够在自己地工作过程中逐渐“了解”或估计出所需要地统计特性，并自动调整自己地参数，以达到最佳滤波效果.而基于自适应滤波器地自适应噪声抵消法对含噪语音地增强效果最好.因为这种方法比其他方法多用了一个参考噪声作为辅助输入，从而获得了比较全面地关于噪声地信息，从而能得到更好地降噪效果.本课设研究地主要内容是基于最小均方误差准则(LMS)自适应噪声抵消法对语音信号进行增强，并应用MATLAB仿真软件对研究地内容进行分析、讨论和验证.关键词：自适应滤波器，最小均方误差法则，语音增强，LMS算法AbstractAdaptivefilterisactuallyawaytoautomaticallyadjustitself,thespecificparam-etersofWienerfilter,thedesigndoesnotrequirepriorknowledgeabouttheinputsig-nalandnoisestatistics,itcanworkintheirownprocessofgraduallylearnorestim-atedthestatisticalpropertiesoftherequiredandautomaticallyadjusttheirparameterstoachievethebestfilteringeffect.Theadaptivefilterbasedonadaptivenoisecancelin-gspeechenhancementofnoisybest.Becausethismethodmorethantheothermetho-dsmostusedanauxiliaryinputreferrednoise,toobtainmorecomprehensiveinforma-formationonthenoisecangetabetternoisereduction.Themaincontentsofthiscoursedesignresearchisbasedonminimummeansqu-areerror(LMS)adaptivenoisecancellationmethodtoenhancethespeechsignal,andtheapplicationofMATLABsimulationsoftwareofanalysis,discussionandverificati-on.KEYWORDS:Adaptivefilter,Minimummeansquareerror,LMS,Speechenhance目录1语音增强概述.........................................................................................................................11.1语音增强地应用背景...........................................................................................................11.2语音增强地研究历史...........................................................................................................12语音增强地方法.....................................................................................................................22.1线性滤波法............................................................................................................................22.2梳状滤波法............................................................................................................................22.3自相关法...............................................................................................................................32.4卡尔曼滤波法.......................................................................................................................32.5自适应噪声抵消法................................................................................................................32.5.1自适应噪声抵消法地原理............................................................................................42.5.2自适应噪声抵消法地应用............................................................................................53自适应滤波.............................................................................................................................53.1自适应滤波概念...................................................................................................................53.2自适应滤波器地组成...........................................................................................................63.3基本自适应滤波器设计原则...............................................................................................63.4自适应滤波器结构................................................................................................................74基于自适应滤波地信号增强..................................................................................................84.1基本维纳滤波器...................................................................................................................84.2最陡下降法.........................................................................................................................104.3LMS算法..............................................................................................................................115LMS自适应滤波设计............................................................................................................135.1LMS原理..............................................................................................................................135.2LMS算法设计......................................................................................................................156MATLAB仿真分析.................................................................................................................156.1实验程序设计.....................................................................................................................166.2实验结果.............................................................................................................................166.3实验结果分析.....................................................................................................................187实验总结..............................................................