sdh and sonet networks
Principles of Digital Communication Systems and Computer Networks
Ngày tải lên :
18/09/2012, 10:13
... 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
Ngày tải lên :
13/12/2013, 13:15
... 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
Ngày tải lên :
14/12/2013, 13:15
... 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
Ngày tải lên :
14/12/2013, 13:15
... 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
Ngày tải lên :
14/12/2013, 13:15
... 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
Ngày tải lên :
14/12/2013, 13:15
... 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
Ngày tải lên :
14/12/2013, 13:15
... 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
Ngày tải lên :
14/12/2013, 13:15
... 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...
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Tài liệu Private SONET Networks for Enterprise Customers docx
Ngày tải lên :
21/12/2013, 08:17
... 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...
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Tài liệu Chapter 10 - Planning and Cabling Networks CCNA Exploration 4.0 ppt
Ngày tải lên :
22/12/2013, 13:17
... 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...
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Tài liệu Kalman Filtering and Neural Networks - Chapter 4: CHAOTIC DYNAMICS pdf
Ngày tải lên :
23/12/2013, 07:16
... 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...
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Tài liệu Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS docx
Ngày tải lên :
23/12/2013, 07:16
... 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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