digital signal processing using matlab 3rd edition pdf
Tài liệu Digital Signal Processing Laboratory - Using Matlab doc
Ngày tải lên :
25/01/2014, 08:20
... Signals
in the Time Domain
1
1.1 Introduction
Digital signal processing is concerned with the processing of a discrete-time signal, called
the input signal, to develop another discrete-time signal, ... .
Project 1.5 Signal Smoothing
A common example of a digital signal processing application is the removal of the noise
component from a signal corrupted by additive noise. Let s[n] be the signal corrupted ... indicated earlier, the purpose of digital signal processing is to generate a signal with
more desirable properties from one or more given discrete-time signals. The processing
algorithm consists...
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Mathematical Summary for Digital Signal Processing Applications with Matlab pdf
Ngày tải lên :
07/03/2014, 13:20
... Mathematical Summary for Digital Signal
Processing Applications with Matlab
Dedicated to my son G.V. Vasig and my wife
G. Viji
Contents
1 Matrices ... 1.12.
A D
2
4
123 4
557 12
6 7 10 16
3
5
E.S. Gopi
Mathematical Summary
for Digital Signal Processing
Applications with Matlab
123
1.15 Solutions for the System of Linear Equation [A] x Db 35
2
4
4
5
6
3
5
T
0
@
b
2
4
14
25
36
3
5
Ä
c
x
1
bx
2
1
A
D ... obtained using Gram-Schmidt
orthogonalization procedure.
Example 1.18. Consider the matrix A D
2
6
6
4
1510
2610
3711
4812
3
7
7
5
whose column vectors are
independent to each other.
Using Gram-Schmidt,...
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The Scientist and Engineer's Guide to Digital Signal Processing Second Edition
Ngày tải lên :
13/09/2012, 10:21
... The Scientist and Engineer's Guide to
Digital Signal Processing
Second Edition
xii
Preface
Goals and Strategies of this Book
The technical world is changing ... 209
Chapter 12. The Fast Fourier Transform 225
Chapter 13. Continuous Signal Processing 243
DIGITAL FILTERS
Chapter 14. Introduction to Digital Filters 261
Chapter 15. Moving Average Filters 277
Chapter ... 1
Telecommunications 4
Audio Processing 5
Echo Location 7
Imaging Processing 9
Chapter 2. Statistics, Probability and Noise 11
Signal and Graph Terminology 11
Mean and Standard Deviation 13
Signal vs. Underlying...
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Tài liệu Digital Signal Processing Handbook P70 pdf
Ngày tải lên :
13/12/2013, 00:15
... Rao, C.R., Effects of estimated noise covariance matrix in optimal signal
detection,
IEEE Trans. on Acoustics, Speech, and Signal Processing,
ASSP-35(5), 671–679,
May 1987.
[21] Cai, L.andWang, ... algorithm, Proc. Signal
and Data Processing of Small Targets, SPIE Proc. Series, Vol. 1305, Paper 16, 180–192, Orlando,
FL, April 16-18, 1990.
[27] Wang, H. and Cai, L., On adaptive multiband signal detection ... May 1991.
[16] DiPietro, R.C., Extended factored space-time processing for airborne radar systems,
Proc. 26th
Asilomar Conference on Signals, Systems, and Computers,
425–430, Pacific Grove, CA,...
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Tài liệu Digital Signal Processing Handbook P68 pdf
Ngày tải lên :
13/12/2013, 00:15
... multiuser
communications,
IEEE Trans. on Signal Processing, Special Issue on Signal Processing for
Advanced Communications,
45(1), Jan. 1997.
[10] Ding, Z., Blind channel identification and equalization using spectral ... IntroductionandMotivation
Thischapterreviewstheapplicationsofantennaarraysignalprocessingtomobilenetworks.Cellular
networksarerapidlygrowingaroundtheworldandanumberofemergingtechnologiesareseentobe
criticaltotheirimprovedeconomicsandperformance.Amongtheseistheuseofmultipleantennas
andspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor,
moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsin
bothspaceandtimetomaximizesignalquality.
Acellulararchitectureisusedinanumberofmobile/portablecommunicationsapplications.Cell
sizesmayrangefromlargemacrocells,whichservehighspeedmobiles,tosmallermicrocellsorvery
smallpicocells,whicharedesignedforoutdoorandindoorapplications.Eachoftheseoffersdifferent
channelcharacteristicsand,therefore,posesdifferentchallengesforSTP.Likewise,differentservice
deliverygoalssuchasgradeofserviceandtypeofservice:voice,data,orvideo,alsoneedspecic
STPsolutions.STPprovidesthreeprocessingleverages.Therstisarraygain.Multipleantennas
capturemoresignalenergy,whichcanbecombinedtoimprovethesignal-to-noiseratio(SNR).Next
isspatialdiversitytocombatspace-selectivefading.Finally,STPcanreduceco-channel,adjacent
channel,andinter-symbolinterference.
Theorganizationofthischapterisasfollows.InSection68.2,wedescribethevectorchannelmodel
forabasestationantennaarray.InSection68.3wediscussthealgorithmsforSTP.Section68.4outlines
theapplicationsofSTPincellularnetworks.Finally,weconcludewithasummaryinSection68.5.
c
1999byCRCPressLLC
... Paulraj, A., A constant modulus algorithm for multi-user signal separation
in presenceof delayspread using antenna arrays,
IEEE Signal Processing Letters,
4(6): 178–181,
June 1997.
[32] Papadias,...
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Tài liệu Digital Signal Processing Handbook P66 pdf
Ngày tải lên :
13/12/2013, 00:15
... Some algorithms for eigensubspaceestimation,
Digital
Signal Processing,
5, 97–115, 1995.
[36] Regalia, P.A. and Loubaton, P., Rational subspaceestimation using adaptivelossless filters,
IEEE
Trans. ... extending this concept to the signal subspace [8]. By sphericalizing and deflating both the signal
and the noise subspaces, the cost of tracking the r dimensional signal (or noise) subspace is ... the signal subspace is not sphericalized and
all of its eigencomponents are explicitly tracked whereas the noise subspace is sphericalized and not
explicitly tracked (to save computation). Using...
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Tài liệu Digital Signal Processing Handbook P23 pdf
Ngày tải lên :
13/12/2013, 00:15
... of three compo-
nents: the signal y
m
(n) that is modeled by the adaptive filter, the signal y
u
(n) that is unmodeled but
that depends on the input signal, and the signal v(n) that is independent ... systems,
IEEE
Trans. Signal Processing,
41(2), 617–628, 1993.
[14] Lin, J N. and Unbehauen, R., Bias-remedy least mean square equation error algorithm for IIR
parameter recursive estimation,
IEEE Trans. Signal Processing,
40(1), ... Trans. Acoustics, Speech, Signal Processing,
38(7), 1222–1227,
1990.
[17] Regalia, P.A., Stable and efficient latticealgorithms for adaptive IIR filtering,
IEEE Trans .Signal
Processing,
40(2), 375–388,...
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Tài liệu Digital Signal Processing Handbook P20 pdf
Ngày tải lên :
13/12/2013, 00:15
... the signals {w
i1
,
à(i) r(i)} to
the signals {w
i
,
à(i) e
a
(i)}. Correspondingly, using (20.12), the map from the original weighted
disturbance
à(i)v(i) to the weighted estimation error signal
à(i)e
a
(i) ... S.,
Adaptive Filter Theory
, 3rd ed., Prentice-Hall, Englewood Cliffs, NJ, 1996.
[2] Proakis, J.G., Rader, C.M., Ling, F., and Nikias, C.L.,
Advanced Digital Signal Processing
,
Macmillan Publishing, ... Stearns, S.D.,
Adaptive Signal Processing
, Prentice-Hall, Englewood Cliffs, NJ,
1985.
[4] Sayed, A.H. and Kailath, T., A state-space approach to adaptive RLS filtering,
IEEE Signal
Processing Magazine
,...
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Tài liệu Digital Signal Processing Handbook P19 pdf
Ngày tải lên :
13/12/2013, 00:15
...
(19.2)
whereW(n)=[w
0
(n)w
1
(n)ÃÃÃw
L1
(n)]
T
isthecoefcientvector,X(n)=[x(n)x(n
1)ÃÃÃx(nL+1)]
T
istheinputsignalvector,d(n)isthedesiredsignal,e(n)istheerrorsignal,
andà(n)isthestepsize.
TherearethreemainreasonswhytheLMSadaptivelterissopopular.First,itisrelativelyeasyto
implementinsoftwareandhardwareduetoitscomputationalsimplicityandefcientuseofmemory.
Second,itperformsrobustlyinthepresenceofnumericalerrorscausedbynite-precisionarithmetic.
Third,itsbehaviorhasbeenanalyticallycharacterizedtothepointwhereausercaneasilysetupthe
systemtoobtainadequateperformancewithonlylimitedknowledgeabouttheinputanddesired
responsesignals.
c
1999byCRCPressLLC
[22] Farden,D.C., Tracking properties of adaptivesignal processingalgorithms,
IEEETrans.Acoust.,
Speech, Signal Processing,
ASSP-29(3), ... algorithms,
IEEE Trans. Signal Processing,
41(9), 2811–2825, Sept. 1993.
[25] Douglas, S.C. and Meng, T.H Y., Normalized data nonlinearities for LMS adaptation,
IEEE
Trans. Signal Processing,
42(6), ... Contr. Signal
Processing,
4(3), 219–216, May-June 1990.
[28] Harris, R.W., Chabries, D.M., and Bishop, F.A., A variable step (VS) adaptive filter algorithm,
IEEE Trans. Acoust., Speech, Signal Processing,
ASSP-34(2),...
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Tài liệu Digital Signal Processing Handbook P14 pdf
Ngày tải lên :
13/12/2013, 00:15
... T., Bayesian spectrum estimation of harmonic signals,
Signal Process.
Lett.,
Vol. 2, pp. 213–215, 1995.
[8] Hayes, M.S.,
Statistical Digital Signal Processing and Modeling,
John Wiley & Sons, ... performance of some other signal and noise subspace based methods developed later.
14.5.5 Multiple Signal Classification (MUSIC)
A procedure very similar to Pisarenko’s is the MUltiple SIgnal Classification ... which plays a major
role in many applied sciences such as radar, speech processing, underwater acoustics, biomedical
signal processing, sonar, seismology, vibration analysis, control theory, and...
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Tài liệu Digital Signal Processing Handbook P13 pdf
Ngày tải lên :
13/12/2013, 00:15
... Temporal Signals in Gaussian Noise
Signal Detection: Known Gains
ã
Signal Detection: Unknown
Gains
ã
Signal Detection: Random Gains
ã
Signal Detection:
Single Signal
13.6 Spatio-Temporal Signals
Detection: ... SpatialCovariance
13.7 Signal Classication
Classifying Individual Signals
ã
Classifying Presence of Multi-
ple Signals
References
13.1 Introduction
Detection and classification arise in signal processing ... incorporate nonzero
mean [14, 15].
13.7 Signal Classification
Typical classification problems arising in signal processing are: classifying an individual signal wave-
form out of a set of possible...
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