发表于2024-11-18
图书基本信息 | |||
图书名称 | 小波在工程中的应用 | 作者 | Luo Gaoyong |
定价 | 78.00元 | 出版社 | 科学出版社 |
ISBN | 9787030410092 | 出版日期 | 2014-07-01 |
字数 | 页码 | ||
版次 | 1 | 装帧 | 平装 |
内容简介 | |
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目录 | |
CONTENTS PREFACE Chapter 1 WAVELET TRANSFORMS IN SIGNAL PROCESSING1 Introduction1 1.1 The continuous wavelet transform2 1.2 The discrete wavelet transform3 1.3 1.4 The heisenberg uncertainty principle and time-frequency depositions5 1.5 Multi-resolution analysis5 1.6 Some important properties of wavelets6 1.6.1 Compact support 6 Rational coe.cients 6 1.6.2 1.6.3 Symmetry 6 Smoothness 6 1.6.4 1.6.5 Number of vanishing moments 7 1.6.6 Analytic expression 7 1.7 Current fast WT algorithms7 1.7.1 Orthogonal wavelets 7 1.7.2 Semiorthogonal (nonorthogonal) wavelets 8 1.7.3 Biorthogonal wavelets 8 1.7.4 Wavelet packets 9 Harmonic wavelets9 1.7.5 Discussion9 1.8 REFERENCES10 Chapter 2 SYSTEM MODELLING12 Introduction12 2.1 2.2 The underlying principle of Fourier harmonic analysis13 2.3 Autocorrelationwaveletalgorithm14 2.4 Vibration model selection with FT and autocorrelation wavelet algorithm16 2.5 Coe.cients estimation with least-squares algorithm17 Results and discussion19 2.6 2.7 Conditionmonitoringofbearing23 2.8 Concluding remarks28 REFERENCES28 Chapter 3 CONDITION MONITORING 30 3.1 Wavelet analysis30 3.2 Filterdesignandfastcontinuouswaveletalgorithm32 3.3 Small defect detection of bearing37 3.3.1 Speci.c frequency ranges monitoring 39 3.3.2 Signi.cant and natural frequencies monitoring 39 3.4 Concluding remarks41 REFERENCES42 Chapter 4 PROCESS CONTROL43 Introduction43 4.1 4.2 Vibration and surface quality44 4.2.1 Theoretical calculation of surface quality 44 4.2.2 Vibration during machining 46 4.3 Adaptive spline wavelet algorithm 47 4.3.1 Battle-Lemari′e wavelet .lter design 47 4.3.2 Arbitrary .ne time-scale representation 49 4.3.3 Adaptive frequency resolution deposition 51 4.4 Methodologyofexperiment53 Results and discussions55 4.5 4.5.1 Experimental results 55 Discussions 63 4.5.2 4.6 Concluding remarks64 REFERENCES65 Chapter 5 VIBRATION ANALYSIS 67 Introduction67 5.1 5.2 Machining process vibration68 5.3 Wavelet algorithm with cross-correlation69 5.4 Experimentalset-up71 5.5 Experimental results73 Discussion77 5.6 5.7 Concluding remarks79 REFERENCES80 Chapter 6 AUDIO CODING 82 Introduction82 6.1 6.2 DSP Implantation of lifting wavelet transform 84 6.3 Embedded coding and error resilience88 6.4 Results of experiment and simulation91 Conclusions93 6.5 REFERENCES94 Chapter 7 IMAGE QUALITY MEASUREMENT 96 Introduction96 7.1 7.2 Waveletanalysisandtheliftingscheme98 7.3 Image quality evaluation102 7.3.1 Image noise analysis 104 7.3.2 Image sharpness analysis105 7.3.3 Image brightness analysis 106 7.3.4 Image contrast analysis 106 7.3.5 Image MTF analysis 107 7.3.6 Image quality quanti.cation and classi.cation 107 7.3.7 Optimisation of weighting coe.cients 108 7.4 Experimental results and discussions110 Conclusions118 7.5 REFERENCES119 Chapter 8 IMAGE DENOISING 121 Introduction121 8.1 8.2 Fast lifting wavelet analysis123 8.3 Noise reduction with wavelet thresholding and derivative .ltering127 General noise reduction 127 8.3.1 Fine noise reduction 128 8.3.2 8.4 Experimental results and discussions131 Conclusions135 8.5 REFERENCES135 Chapter 9 WIRELESS POSITIONING 138 Introduction138 9.1 9.2 Wavelet notch .lter design140 9.3 System model and narrowband interference detection145 9.4 Experimental results and discussions147 Conclusions155 9.5 REFERENCES155 Chapter 10 POWER LINE MUNICATIONS157 Introduction157 10.1 10.2 Multicarrier spread spectrum system162 10.3 Carrier frequency error estimation and pensation169 10.4 Time-frequency analysis of noise170 10.5 Noise detection and .ltering175 10.6 Experimental results and discussions178 Conclusions183 10.7 REFERENCES184 |