... Continuous to Discrete ** Time-** ** Frequency-** ** Scale ** ** Transforms ** 19 2.1 Continuous ** Transforms ** 20 2.2 Semi-Discrete ** Transforms ** 24 2.3 Discrete ** Transforms:** Frames ... wavelet which deﬁnes a continuous ** time-** ** frequency-** ** scale ** transform Vψ Then for any σ ∈ L1 (R) such that σ(γ) > 0, CHAPTER FROM CONTINUOUS TO DISCRETE ** TIME-** ** FREQUENCY-** ** SCALE ** ** TRANSFORMS ** 32 γ ∈ R, ∫ ∞ ∫ −∞ ... signal function f ∈ L2 (R) from its ** time-** ** frequency-** ** scale ** transform values (Vψ f )(b, a−j , − aα−j + C) CHAPTER FROM CONTINUOUS TO DISCRETE ** TIME-** ** FREQUENCY-** ** SCALE ** ** TRANSFORMS ** 44 Once again, we expect...

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... “Parametric ** time-frequency ** ** analysis ** ** and ** ** its ** ** applications ** in music classiﬁcation,” by Y Shen et al., deals with ** analysis ** ** and ** classiﬁcation of music signals Music signals are decomposed into atoms using ... on ** time-frequency ** ** analysis ** ** and ** Hermite projection method” by S Stankovi´ et al ** to ** provide a method c for temporal ** analysis ** ** and ** reconstruction of digital video sequences The S-method is used ** to ** ... roughly categorized into two general areas: (1) robust ** and ** fragile digital data protection algorithms ** and ** (2) ** time-frequency-** based algorithms for data ** analysis,** classiﬁcation, ** and ** compression In...

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... classiﬁcation accuracy rate Since each sample is excluded from the training set ** in ** turn, the independence between the test set ** and ** the training set is maintained ** In ** a database with N examples, ... found ** in ** the appendix 3.2 Classiﬁcation Scheme 3.2.1 Linear Discriminant ** Analysis ** (LDA) ** In ** this work, pattern classiﬁcation is carried out using the linear discriminant ** analysis ** (LDA) technique ** in ** ... rock-like ** music ** ** and ** classical-like ** music ** ** In ** order to look more into the characteristics demonstrated by rock-like ** music ** samples ** and ** classical-like ** music ** samples, ** and ** deﬁne the discriminatory features...

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... **(16** 1, ** ****12** 9) ** 1.** 1 Block index ** 26** 7 ** 28** 3 ** 29** 9 **315** 3 **31 ** ** 28** 4 300 **316** 3 **32 ** **(16** 1, ** 16** 8) 0.9 0.8 ** 16** × ** authentication ** block 0.7 0.6 0.5 0.4 0.3 50 ** 10** 0 ** 15** 0 ** 20** 0 ** 25** 0 300 350 400 450 500 Block index **(19** ** 2,** ** ****12** 9) ** 26** 8 **(19** ** 2,** ... **10** −4 **32.** 89 98% 44. **41 ** 0.0 **014** ** 28** .69 95% **41.** 53 0. **010** 1 ** 19** .95 90% 38.83 0. **026** 7 ** 15** .74 80% 35.94 0.06 **41 ** **11.** 93 70% 34. **41 ** 0.0956 ** 10** **.19** 60% 33.34 0 **.10** **61 ** 9.74 50% **32.** 56 0 **. ****12** ** 27** 9 **.11** w mag (i) − , Nw i **=1 ** ... Rotation **(1 ** degree) −0.00 **72 ** Cropping −0.0094 JPEG (QF = 99%) 0 **.20** 27 considered here is given by [ **21** ] J− h(i1 )h(i2 )xLL (2n1 − i1 , 2n2 − i2 ), J xLL (n1 , n2 ) = i1 ,i2 J− h(i1 )g(i2 )xLL (2n1 − i1...

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... illustration of stationary ** and ** nonstationary blocks in a sequence of ** frames ** (box 1-stationary block, box 2-nonstationary block) ** Video ** ** Analysis ** ** and ** ** Reconstruction ** Using ** Time-Frequency ** Representations ** and ** ... 120 60 120 Time **(frames)** M −1 xM (t) = 60 q > 0, 3.2 ** Hermite ** ** Projection ** **-Based ** Temporal ** Reconstruction ** of Nonstationary Pixels within the Sequence of ** Video ** ** Frames ** The ** Hermite ** functions are used as ... Section 3, the ** reconstruction ** procedure ** based ** ** on ** the ** Hermite ** ** projection ** method is proposed In Section 4, the proposed method is applied to the examples Concluding remarks are given in Section Theoretical...

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... [35], independent ** component ** ** analysis ** (ICA) [1, 36], ** and ** ** principal ** ** component ** ** analysis ** (PCA) [37–40] to extract ** time-frequency ** features ** for ** classiﬁcation purposes or ** for ** reducing the ** time-frequency ** ... new ** data ** ** reduction ** method based on applying ** matching ** pursuit decomposition to the ** time-frequency ** domain ** principal ** components to further reduce the information from the ** principal ** components ** and ** ... review of ** time-frequency ** distributions ** and ** various ** matching ** pursuit approaches Section introduces the ** data ** ** reduction ** method proposed in this paper, ** combining ** ** principal ** ** component ** ** analysis ** with matching...

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... ** signal ** 0.5 (b) Octave distribution ** signal ** 1 Time 0.5 Octaves 10 11 12 13 (h) Figure 9: Comparison of octave distributions Signals ** and ** 2: Rock-like signals, ** and ** Signals ** and ** 4: Classical-like signals ... stage-by-stage implementation ** and ** analysis of three important ** audio ** ** processing ** tasks, namely, (1) ** audio ** compression, (2) ** audio ** ** classiﬁcation, ** ** and ** (3) securing ** audio ** content ** using ** TF approaches The ... of ** Signal ** ** Processing ** to ** Audio ** ** and ** Acoustics, pp 127–130, 2003 [45] C Xu, N C Maddage, ** and ** X Shao, “Automatic music classiﬁcation ** and ** summarization,” IEEE Transactions on Speech ** and ** ** Audio ** ** Processing,** ...

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... properties ** and ** advantages of watermarking ** in ** joint timefrequency domain ** In ** [15], ** watermark ** insertion ** and ** extraction are both done ** in ** ** time-frequency ** domain ** In ** the embedding process, ** watermark ** message ... provided ** in ** Section But ﬁrst we will have a brief review on ** watermark ** applications ** in ** joint ** time-frequency ** domain ** TIME-FREQUENCY ** DIGITAL WATERMARKING Digital watermarking is the process involving integrating ... transform domain ** watermark ** embedding via linear programming,” ** Signal ** Processing, vol 81, no 6, pp 1251–1260, 2001, special issue: information theoretic issues ** in ** digital watermarking F Peyrin ** and ** R Prost,...

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... design ** of ** ** mode ** ** identiﬁcation ** strategies ** for ** reconﬁgurable ** software-deﬁned ** ** radio-** based terminal His research interests are ** in ** ** mode ** ** identiﬁcation ** algorithms ** for ** ** software-deﬁned ** ** radio ** platform ** in ** ** a ** single ... Van Dyck, ** and ** ** A ** Soltanian, “Interference ** of ** bluetooth ** and ** IEEE 802.11: simulation modeling ** and ** performance evaluation,” ** in ** Proc 4th International ACM Workshop on Modeling, ** Analysis ** ** and ** Simulation ... fundamental ** and ** integrating part ** of ** SR ** and ** CR because it allows one to support multimode ** and ** multiband communications according to SR ** In ** general, MI can be blind or assisted [10], ** and ** modes can be...

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... ** ARRAY ** ** PROCESSING ** ** BASED ** ** ON ** ** TIME-** ** FREQUENCY ** ** ANALYSIS ** ** AND ** ** HIGHER-** ** ORDER ** ** STATISTICS ** SUWANDI RUSLI LIE (B.S.E.E ** and ** M.S.E.E., University of Wisconsin - Madison, U.S.A.) A THESIS ... a description of the signal that involves both ** time ** ** and ** ** frequency ** This method is called ** time-** ** frequency ** (TF) ** analysis,** which maps a signal (i.e., a one-dimensional function of ** time)** onto an image ... two-dimensional function of ** time ** ** and ** ** frequency)** that displays the spectral components of the signal as a function of ** time ** (see the illustration ** on ** the box in Fig 2.1) Conceptually, one may think...

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... down, lying to sitting, level walking, ascending stairs ** and ** descending stairs However, ** in ** sitting, standing, ** and ** lying down ** detection,** instead ** of ** detecting static postures, we detect stand-sit/sit-stand, ... describes the ** detection ** procedure ** of ** ADL ** in ** ** time ** ** frequency ** ** domain ** Fall ** detection ** (post impact ** detection)** including implementation ** of ** fall notification system ** and ** pre-impact fall ** detection ** using angular ... thigh ** in ** detecting sitting, standing, ** and ** lying static activities The dc response ** of ** the radial sternum accelerometer was used to distinguish sitting/standing posture from lying posture ** and ** that of...

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... 2011 ** Beijing ** City Haidian District China The center ** of ** ** Beijing ** Fig - Location map ** of ** ** Beijing ** city ** and ** Haidian District center, ** and ** has many places ** of ** interest ** and ** famous shopping areas **(Beijing ** Municipal ... ** Structure ** ** of ** annual ** and ** seasonal per capita ** water ** ** demand ** ** in ** ** Beijing ** City appears ** in ** Fig This contrasts with the ** structure ** ** of ** annual per capita ** water ** ** demand ** ** in ** Tokyo City, shown ** in ** Fig ** Of ** the per ... system ** in ** China, Making ** Water ** Technol., 18(1), 49-51 **(in ** Japanese) Murakawa S., Nishina D ** and ** Wang L (1999) ** Analysis ** on the ** structure ** ** of ** ** water ** demands ** in ** dwelling houses ** of ** Suzhou, China, J Archit...

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... Re-examine some ** of ** ** the ** most important issues related to ** the ** experiential aspect ** of ** ** functional ** grammar Analyze ** the ** ** meaning ** ** and ** ** structure ** ** of ** ** a ** ** narrative ** based on ** the ** ** systemic ** ** functional ** ** analysis ** ... explore ** the ** ** meaning ** ** and ** ** structure ** ** of ** Torquay? But I said Turkey! as ** a ** text ** The ** ** analysis ** is based on ** the ** framework ** of ** Hallidays (1994)An Introduction to ** Functional ** Grammar, Halliday ** and ** 21 Hasans ... written channel - High lexical density ** and ** parataxis ** and ** low grammatical intricacy CHAPTER IV: CONCLUSION 4.1 Recapitulation ** The ** writing ** of ** ** The ** ** meaning ** ** and ** ** structure ** ** of ** ** a ** ** narrative:** ** a ** ** systemic ** functional...

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... conceptualizing the impact ** of ** ** filters ** on signals As discussed in ** Chapter ** 3, there are two basic types ** of ** ** digital ** ** filters:** ** FIR ** ** filters ** ** and ** IIR ** filters ** An ** FIR ** filter ** of ** length L can be represented ... p **5:1** :10a !m !a !b , H(w) 1 w wa Figure 5.3 wm wb Magnitude response ** of ** bandpass filter with narrow bandwidth 188 ** DESIGN ** ** AND ** ** IMPLEMENTATION ** ** OF ** ** FIR ** ** FILTERS ** where !a ** and ** !b are the lower ** and ** ... x(n−L+2) b0 b1 bL/2−1 y(n) Figure 5.8 ** Signal ** flow diagram ** of ** symmetric ** FIR ** filter, L is even 198 ** DESIGN ** ** AND ** ** IMPLEMENTATION ** ** OF ** ** FIR ** ** FILTERS ** The trade-off is that instead ** of ** accessing data linearly through...

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