... Waveform, (b) ** the ** spectrum, and (c) ** the ** harmonic magnitude error ** of ** ** the ** PD model ** of ** ** the ** ** Moog ** ** sawtooth ** ** oscillator ** output at f0 = 2.096 kHz ** The ** waveform and ** the ** spectral envelope ** of ** ** the ** recorded ... resembles ** the ** ** sawtooth ** waveform With P < 5, ** the ** maximum ** of ** ** the ** waveform is closer to ** the ** beginning ** of ** oscillation period, and when P > 5, ** the ** maximum is closer to ** the ** end ** of ** ** the ** period With P = 5, ** the ** ... and (b) spectrum ** of ** ** the ** recorded ** Moog ** ** sawtooth ** having f0 = 2.096 kHz In (b), ** the ** crosses indicate ** the ** magnitudes ** of ** ** the ** waveform harmonics, ** the ** circles represent ** the ** magnitudes ** of ** ** the ** frequency-scaled...

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... concerning ** the ** behavior ** of ** ** the ** ** perturbation ** ** map ** Li 10 discussed ** the ** continuity ** of ** ** contingent ** derivatives for set-valued maps and also discussed ** the ** sensitivity, continuity, and closeness ** of ** ** the ** ** contingent ** ... ** contingent ** ** derivative ** ** of ** ** the ** marginal ** map ** By virtue ** of ** lower Studniarski derivatives, Sun and Li 14 obtained some quantitative results concerning ** the ** behavior ** of ** ** the ** weak ** perturbation ** ** map ** ** in ** parametrized ... stability ** in ** optimization see 1–16 Tanino obtained some results concerning sensitivity analysis ** in ** vector optimization by using ** the ** concept ** of ** ** contingent ** derivatives ** of ** set-valued maps introduced in...

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... parameterization **(e.** g., Gaussian message) These ** messages ** are presented ** in ** ** the ** AWGN channel model ** The ** rest ** of ** ** the ** ** messages ** are mixed continuous ** and ** discrete ** messages ** These mixture ** messages ** are continuously ... description) 4.2.2 Message Types Presented ** in ** ** the ** FG **/SPA ** ** The ** FG cont-ains both discrete ** and ** continuous ** messages ** ** The ** discrete ** messages ** are presented ** in ** ** the ** coder There is no need for ** the ** investigation ... types presented ** in ** ** the ** literature We compare only ** the ** message representations ** The ** update rules are performed “ideally” by ** the ** numerical integration ** in ** ** the ** simulations ** The ** Fourier representation...

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... which concerns ** the ** ** exponent ** ** of ** ** convergence ** Theorem 2.1 Let B and C be entire functions ** of ** order less than with C ≡ and B being / transcendental Then every solution f / ** of ** ** the ** equation ≡ ** y ** ** Ay ** C z ... replaced ** by ** h A, arises if conclusion i ** of ** Lemma 4.4 holds, and ** the ** proof ** of ** ** the ** theorem is complete Acknowledgment ** The ** author thanks Professor J K Langley ** for ** ** the ** invaluable discussions ** on ** ** the ** results ... , A z ** By ** 0, α ∈ C \ {0}, 2.1 has ** zeros ** with inﬁnite ** exponent ** ** of ** ** convergence ** ** The ** hypothesis that B is transcendental is not redundant since Frei has shown that ** y ** e−z ** y ** Ky has ** solutions ** ** of ** ﬁnite...

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... on ** the ** following theorem ** of ** Clunie and Sheil-Small Theorem 1.1 see A ** harmonic ** function f h z g z locally univalent ** in ** D is a univalent mapping ** of ** D onto a domain ** convex ** ** in ** ** the ** ** direction ** ** of ** ** the ** ... is a conformal univalent mapping ** of ** D onto a domain ** convex ** ** in ** ** the ** ** direction ** ** of ** ** the ** real axis Theorem 1.1 leads ** to ** ** the ** ** construction ** ** of ** univalent ** harmonic ** function ** with ** analytic dilatation w z ... Journal ** of ** Inequalities and Applications ** The ** ** shear ** ** construction ** produces a univalent ** harmonic ** function that maps D ** to ** ** the ** region that is ** convex ** ** in ** ** the ** ** direction ** ** of ** ** the ** real axis This construction...

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... with attack and release time constants τraise and τdecay ** The ** diﬀerences between ** the ** maxima and minima are calculated to obtain ** the ** current dynamic range ** of ** ** the ** signal (4) ** The ** decision for ** a ** ** speech ** ... vectors containing ** speech ** samples will be added to ** the ** noise data matrix in (5), which leads to cancellation ** of ** parts ** of ** ** the ** ** speech ** signal ** On ** ** the ** other hand, if too many actual noise samples are detected ... stationary directional noise and nonstationary diﬀuse noise ** The ** nonstationary noise is derived from recordings in ** a ** restaurant to approach ** a ** real world situation Section provides ** a ** discussion of...

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... use ** the ** ** spatial ** ** correlation ** ** of ** ** the ** ** Bayer ** ** color ** diﬀerence in ** the ** ** edge ** direction estimation and ** the ** region classiﬁcation = (a) − R01 = G11 In ** the ** proposed ** edge ** ** adaptive ** ** demosaicking ** method, ** the ** ** edge ** ... decide ** the ** direction as nondirectional (Non) Therefore, ** the ** ﬁnal types ** of ** ** the ** ** edge ** direction are EDT = {Hor, Ver, Non} In ** the ** proposed ** edge ** direction estimation, ** the ** diagonal directional ** edge ** is considered ... ** demosaicking ** method that estimates ** the ** ** edge ** direction directly ** on ** ** the ** ** Bayer ** CFA samples is proposed ** based ** ** on ** ** the ** ** spatial ** ** correlation ** ** of ** ** the ** ** Bayer ** ** color ** diﬀerence To estimate ** the ** ** edge ** direction...

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... ** the ** ** phase ** oﬀset ** of ** ** the ** channel ** The ** proposed method ** of ** ** blind ** ** estimation ** ** of ** ** the ** ** phase ** oﬀset is based on a MAP approach in ** the ** sense ** of ** maximizing ** the ** probability that a ** phase ** θ corresponds to ** the ** ... denotes ** the ** number ** of ** rows in ** the ** parity check matrix ** of ** ** the ** code, uk is ** the ** number ** of ** nonzero elements in ** the ** kth row ** of ** ** the ** parity check matrix ** and ** niter is ** the ** number ** of ** iterations ** of ** ** the ** optimization ... Let us take ** the ** example ** of ** ** phase ** oﬀset ** estimation ** ** and ** discuss ** the ** results ** and ** parameters ** of ** Figure In this ﬁgure, ** the ** MSE curves ** of ** ** the ** HDD ** and ** ** the ** algorithm ** of ** (34) were obtained ** for ** N = nc =...

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... Advances ** in ** Signal Processing line whereas dn is ** the ** length ** of ** ** the ** considered ** in-** domain disturbed line To evaluate ** the ** ** impact ** ** of ** ** the ** out **-of-** domain crosstalk, we introduce ** the ** following two parameters: ... see that ** the ** sensitivity ** of ** ** the ** average bit rate on ** the ** parameters identifying ** the ** model is rather limited: ** the ** change ** in ** ** the ** precoding gain, for example, is ** in ** ** the ** order ** of ** 5% for ** the ** shortest ... rate; ** the ** eﬀect ** of ** uncertainty ** in ** ** the ** knowledge ** of ** ** the ** channel ** statistical ** parameters is discussed as well ** In ** Section 5, ** the ** ** analysis ** is extended to ** the ** outof-domain (alien) crosstalk, by evaluating...

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... tracking ** performance ** ** analysis ** ** of ** ** the ** ** family ** ** of ** SPU **-NLMS ** ** and ** SPU aﬃne ** projection ** ** algorithms ** Based on this, ** the ** ** performance ** ** of ** Max **-NLMS ** [22], N -Max ** NLMS ** [16, 23], ** the ** variants ** of ** ** the ** ** selective ** ** partial ** ... general ** performance ** ** analysis ** for ** the ** ** family ** ** of ** SPU **-NLMS ** ** algorithms ** ** in ** ** the ** stationary environment can be found ** in ** [19, 20] ** The ** steady-state MSE ** analysis ** ** of ** SPU **-NLMS ** ** in ** [19] was based on transient ** analysis ** ... ** performance ** ** of ** ** the ** SPU **-NLMS ** ** algorithms ** was studied with ** the ** same assumption ** in ** [16] ** The ** results ** in ** [18] present mean square convergence ** analysis ** ** of ** ** the ** SPU **-NLMS ** for ** the ** case ** of ** white input signals The...

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... that minimizing ** the ** ** sensitivity-based ** transfer function ** and ** ** pole ** ** errors ** minimizes ** the ** probability to have ** the ** shift ** of ** ** the ** poles ** and ** transfer function to be greater than a given bound ** The ** unpredictable ... ⎟⎜x(k)⎟ ⎠⎝ ⎠ u(k) (31) ** The ** output ** of ** ﬁrst block is computed ** in ** ** the ** intermediate variable ** and ** used ** as ** ** the ** input ** of ** ** the ** second block ** The ** main point is that if we consider ** the ** equivalent statespace ... error ** and ** ** the ** ** pole ** error, under some standardizing assumptions (on ** the ** inputs ** and ** ** the ** coeﬃcients roundoﬀ) Additional work includes methodological development to solve, by using these new ** indicators,** ...

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... in Section Simulation results are shown in Section 5, and Section concludes ** the ** paper System Model Figure shows ** the ** ** block ** diagram ** of ** ** the ** ** quasi-synchronous ** BS **-CDMA ** system Consider a BS **-CDMA ** system ... message, ** the ** receiver synchronizes to ** the ** beginning ** of ** ** the ** signal ** of ** this user We refer to ** the ** user to which ** the ** receiver is synchronized as ** the ** reference user, and ** the ** beginning ** of ** ** the ** signal ** of ** ** the ** ... After ** the ** signals from ** the ** ﬁrst user are detected, ** the ** base station moves ** on ** to detect ** the ** signals ** for ** ** the ** second user When ** the ** mth user is considered, ** the ** signals ** of ** ** the ** ﬁrst m − users in the...

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Từ khóa:
Bài tập chương 11: Luồng Flow Discrete Structures for Computer Science (CO1007)đề thi văn hsgChapter 10 Trees Discrete Structures for ComputingChapter 11 Flows Discrete Structures for ComputingĐề kiểm tra mẫu môn thi Cấu trúc rời rạc cho KHMT năm 2016 Đề 2Introduction to using RData Structure and Algorithms CO2003 Chapter 1 IntroductionData Structure and Algorithms CO2003 Chapter 3 RecursionData Structure and Algorithms CO2003 Chapter 6 TreeData Structure and Algorithms CO2003 Chapter 9 HashChapter 2: BASIC ELEMENTS IN C++Chapter 3: SOME MORE BASICS IN C++Chapter 5c: STRUCTURED TYPE IN C++Chapter 6: FUNCTIONS AND POINTERS IN C++1000 câu trắc nghiệm tiếng anh ôn thi tốt nghiệp THPTCÔNG THƯC GIẢI NHANH HÓA THPTSlide bài giảng lập trình hướng đối tượng C++ FPT SOFTWARE (Ngày 51: shared memory (additional))Slide bài giảng lập trình hướng đối tượng C++ FPT SOFTWARE (Ngày 52: debugging techniques)Slide bài giảng lập trình hướng đối tượng C++ FPT SOFTWARE (Ngày 52+: keyboard mouse interaction)Slide bài giảng lập trình hướng đối tượng C++ FPT SOFTWARE (Ngày 63: menu resource MDI)