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现代计算启发式范例在有源噪声控制系统中的新应用

摘要第8-9页
ABSTRACT第9-10页
Chapter 1 Introduction第23-29页
    1.1 Motivation and Incitement第23-25页
    1.2 Literature Review第25页
    1.3 Contribution第25-26页
    1.4 Background History of ANC System ANC第26页
    1.5 Statement of the Problem第26-27页
    1.6 System Model for the Study第27-28页
    1.7 Organization of Thesis第28-29页
Chapter 2 Literature Review第29-43页
    2.1 Noise Reduction第29页
    2.2 Passive Noise Control System第29页
    2.3 Active Noise Control System第29-32页
    2.4 Feed-forward Active Noise Control第32-33页
    2.5 Physical Design of ANC System ANC第33-34页
        2.5.1 DSP第33-34页
        2.5.2 Memory第34页
        2.5.3 Gain Control第34页
        2.5.4 Transformation Power第34页
        2.5.5 Audio Codec第34页
    2.6 Algorithms for ANC Systems ANC第34-36页
        2.6.1 LMS Algorithm LMS第35-36页
        2.6.2 Normalized Least Mean Square Algorithm第36页
        2.6.3 FXLMS Algorithm FXLMS第36页
    2.7 Current Development in Active Noise Control Systems第36-41页
    2.8 Conclusions第41-43页
Chapter 3 Active Noise Control Using BSA第43-69页
    3.1 Backtracking Search Algorithm第43-44页
    3.2 Highlights of the Proposed Methodology第44-45页
    3.3 Chapter Organization第45页
    3.4 System Model for ANC第45-46页
    3.5 Methodology第46-49页
    3.6 Optimization第49-54页
    3.7 Results and Discussion第54-67页
        3.7.1 Problem 1: ANC system for pure sinusoidal signal第55-61页
        3.7.2 Problem 2: ANC system for random signal第61-64页
        3.7.3 Problem 3: ANC system for complex random signal第64-67页
    3.8 Conclusions第67-69页
Chapter 4 Active Noise Control Using Firework Algorithm第69-89页
    4.1 Highlights of Contribution第69-70页
    4.2 Chapter Organization第70页
    4.3 System Model for ANC第70-71页
    4.4 Proposed Methodology第71-73页
    4.5 Optimization Procedures第73-76页
    4.6 Results and Discussion第76-87页
        4.6.1 Experiment 1第77-78页
        4.6.2 Experiment 2第78页
        4.6.3 Experiment 3第78-87页
    4.7 Conclusions第87-89页
Chapter 5 GOA based ANC System第89-117页
    5.1 Grasshopper Optimization Algorithm第89-93页
    5.2 System Model of Proposed Methodology第93页
    5.3 Formulation of the Fitness Function第93-96页
    5.4 Pseudocode of Proposed Methodology第96-98页
    5.5 Proposed Results第98-114页
        5.5.1 Problem 1 Sinusoidal, Random and Complex Random Noise Signal ofVF-1 with L=20第99-105页
        5.5.2 Problem 2: Sinusoidal, Random and Complex Random Noise Signal ofVF-2 with L=35第105-110页
        5.5.3 Problem 3: Sinusoidal, Random and Complex Random Noise Signal ofVF-3 with L=65第110-114页
    5.6 Conclusions第114-117页
Chapter 6 Conclusion第117-121页
    6.1 Conclusions第117-119页
    6.2 Future Recommendation第119-121页
References第121-135页
Acknowledgement第135-137页
List of Publications and Submissions第137页

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