sdh and sonet networks

Principles of Digital Communication Systems and Computer Networks

Principles of Digital Communication Systems and Computer Networks

... MSSV:08520470 Sau đây là bài dịch chương II trong sách “Principles of Digital Communication Systems and Computer Networks của nhóm em. Phần I – Các hệ thống truyền thông số (Digital Communation System) Chương ... entropy là H = 4.07 bit/ký hiệu Lưu ý: Hãy xem xét câu sau: "I do not knw wheter this is undrstandble." Mặc dù thực tế là một số chữ cái là mất tích trong câu này nhưng bạn vẫn có thể làm...

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Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

... Kalman [1] for the 1 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright ... Wiley, 1986. [3] M.S. Grewal and A.P. Andrews, Kalman Filtering: Theory and Practice. Englewood Cliffs, NJ: Prentice-Hall, 1993. [4] H.L. Van Trees, Detection, Estimation, and Modulation Theory, Part ... entries of the matrices F kþ1;k and H k are all known (i.e., computable), by having ^ xx k and ^ xx À k available at time k. Stage 2 Once the matrices F kþ1;k and H k are evaluated, they are...

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Tài liệu Kalman Filtering and Neural Networks P2 doc

Tài liệu Kalman Filtering and Neural Networks P2 doc

... matrix to be P 0 ¼ E À1 I, with E ¼ 0:01 and 0.001 for sigmoidal and linear activation functions, respectively. This leaves us to specify values for Z k and Q k , which are likely to be problem-dependent. 2.4 ... to store and update the approximate error covariance matrix P k at each time step. For a network architecture with N o outputs and M weights, GEKF’s computational complexity is OðN o M 2 Þ and its ... situation, and describe the means by which the EKF method can be naturally extended to simultaneously handle multiple training instances for a single weight update. 2 Consider the standard recurrent...

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Tài liệu Kalman Filtering and Neural Networks P3 doc

Tài liệu Kalman Filtering and Neural Networks P3 doc

... circle moving right and up;  square moving right and down;  triangle moving right and up;  circle moving right and down;  square moving right and up;  triangle moving right and down. Training ... 1,1–47 (1991). [2] J.S. Lund, Q. Wu and J.B. Levitt, ‘‘ Visual cortex cell types and connections’’, in M.A. Arbib, Ed., Handbook of Brain Theory and Neural Networks, Cambridge, MA: MIT Press, ... Lomber, P. Girard and J. Bullier, ‘‘Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons’’, Nature, 394, 784–787 (1998). [4] M.W. Oram and D.I. Perrett,...

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Tài liệu Kalman Filtering and Neural Networks P4 doc

Tài liệu Kalman Filtering and Neural Networks P4 doc

... D.A. Rand and L.S. Young, Eds. Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol. 898. 1981, p. 230. Berlin: Springer-Verlag. [6] A.M. Fraser, ‘‘ Information and ... deviation in 83 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright ... Palmer, R.A. Kropfli, and C.W. Fairall, ‘‘ Signature of Deterministic Chaos in Radar Sea Clutter and Ocean Surface Waves,’’ Chaos, 6, 613 – 616 (1995). [14] S. Haykin, R. Bakker, and B. Currie, ‘‘Uncovering...

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Tài liệu Kalman Filtering and Neural Networks P5 pdf

Tài liệu Kalman Filtering and Neural Networks P5 pdf

... ð5:63Þ where ^ xx kjN and p kjN are defined as the conditional mean and variance of x k given ^ ww and all the data, fy k g N 1 . The terms ^ xx À kjN and p À kjN are the conditional mean and variance ... and L.E. Atlas, ‘‘Recurrent neural networks and robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2), 240–254 (1994). [15] S.C. Stubberud and M. Owen, ‘‘Artificial neural network ... proposed initially in [30], and further developed in [31] and [32], the EKF can also be used for estimating the parameters of nonlinear models (i.e., training neural networks) from clean data....

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Tài liệu Kalman Filtering and Neural Networks P6 pdf

Tài liệu Kalman Filtering and Neural Networks P6 pdf

... matrices A and B multiplying inputs x and u, respectively; and an output bias vector b, and the noise covariance Q. Each RBF is assumed to be a Gaussian in x space, with center c i and width given ... Broomhead and D. Lowe, ‘‘ Multivariable functional interpolation and adaptive networks, ’’ Complex Systems, 2, 321–355 (1988). [11] R.E. Kalman, ‘‘A new approach to linear filtering and prediction ... D.A. Rand and L S. Young, Eds., Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics, Vol. 898. Berlin: Springer-Verlag, 1981, pp. 365–381. [53] J. Hertz, A. Krogh, and...

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Tài liệu Kalman Filtering and Neural Networks P7 pptx

Tài liệu Kalman Filtering and Neural Networks P7 pptx

... with neural networks. Double Inverted Pendulum A double inverted pendulum (see Fig. 7.4) has states corresponding to cart position and velocity, and top and bottom pendulum angle and angular ... the parameters. The use of the EKF for training neural networks has been developed by Singhal and Wu [8] and Puskorious and Feldkamp [9], and is covered in Chapter 2 of this book. The use of the ... D k ¼ D @Hð ^ xx  k ; nÞ @n      nn ; ð7:29Þ and where R v and R n are the covariances of v k and n k , respectively. 7.2 OPTIMAL RECURSIVE ESTIMATION AND THE EKF 227 optimal estimate in the minimum...

Ngày tải lên: 14/12/2013, 13:15

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Tài liệu Private SONET Networks for Enterprise Customers docx

Tài liệu Private SONET Networks for Enterprise Customers docx

... protection from internal and external attacks. 9/05 • 1339239 LoopStar ® SONET Access and Transport Solutions LoopStar ® SONET Access and Transport Solutions Private SONET Networks for Enterprise ... the cross-connects, which would create a series of alarms. In-Band Management Unlike data networks, SONET networks use an in- band channel called the Data Communications Channel (DCC) for management ... network and system-level protection, the LoopStar 800 and 1600 provide electrical protection on the TDM cards and support RSTP on the common 8-port Fast Ethernet card. For the TDM cards (DS1 and...

Ngày tải lên: 21/12/2013, 08:17

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Tài liệu Chapter 10 - Planning and Cabling Networks CCNA Exploration 4.0 ppt

Tài liệu Chapter 10 - Planning and Cabling Networks CCNA Exploration 4.0 ppt

... to install and require special equipment. • Wireless networks: easier to install than UTP or fiber cable. Be effected Học viện mạng Bách khoa - Website: www.bkacad.com • Wireless networks: ... needs? – A mixture of UTP speeds? – Both UTP and fiber ports? • The number of UTP ports and fiber ports will be needed. The number of 1 Gbps ports and 10/100 Mbps ports. Types of Connections ... types, standards and ports used for WAN connections. - Define the role of device management connections when using Cisco equipment. • Design an addressing scheme for an inter-network and assign...

Ngày tải lên: 22/12/2013, 13:17

45 455 1
Tài liệu Kalman Filtering and Neural Networks - Chapter 4: CHAOTIC DYNAMICS pdf

Tài liệu Kalman Filtering and Neural Networks - Chapter 4: CHAOTIC DYNAMICS pdf

... deviation in 83 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright ... D.A. Rand and L.S. Young, Eds. Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol. 898. 1981, p. 230. Berlin: Springer-Verlag. [6] A.M. Fraser, ‘‘ Information and ... selected similar to the noise-free case, and two distinct networks were trained using the noisy Lorenz signals with 25 dB SNR and 10 dB SNR, respectively. The networks were trained with a learning...

Ngày tải lên: 23/12/2013, 07:16

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Tài liệu Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS docx

Tài liệu Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS docx

... Control, 24, 36–50 (1979). [4] M. Niedz ´ wiecki and K. Cisowski, ‘‘Adaptive scheme of elimination of broadband noise and impulsive disturbances from AR and ARMA signals,’’ IEEE Transactions on Signal ... and L.E. Atlas, ‘‘Recurrent neural networks and robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2), 240–254 (1994). [15] S.C. Stubberud and M. Owen, ‘‘Artificial neural network ... 133–140. [31] G.V. Puskorius and L.A. Feldkamp, ‘‘Neural control of nonlinear dynamic systems with Kalman filter trained recurrent networks, ’’ IEEE Transactions on Neural Networks, 5 (1994). [32]...

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