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J. G. Proakis, Digital Communications, Mc Graw Hill, New York, 4th edition, 2000.

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Total Power Optimization For Wireless Multimedia.. - Erkip, Lu, Wang, Goodman   (Correct)

....[GG92] Note that R is the number of bits sample and D(R) is the distortion per source sample. 5 We assume these compressed bits are transmitted through an AWGN channel of noise spectral density 0 N joules using differential phase shift keying (DPSK) The probability of bit error e p is given by [PR01] 0 1 N Rf P e s rec e p = 3) where rec P is the received power in watts. Considering only path loss, the radiated power at the transmitter is rec rad d P P = where d is the distance between the mobile and the receiver and the exponent a depends on the propagation medium. We will ....

J. G. Proakis, Digital Communications, Mc Graw Hill, New York, NY, 2001.


Optimum performance of link adaptation in HIPERLAN/2 Networks - Simoens, Bartolome (2001)   (Correct)

....and observation match very precisely. In order to analyze into more details the relationship between PER and small scale fading, let us consider how the HIPERLAN 2 system is specified. HIPERLAN 2 implements a bit interleaved convolutionally coded modulation of bursts. It can be verified [6] that a convolutionally coded transmission over a flat fading Rayleigh channel associated to Viterbi decoding at the receiver has an equivalent diversity order equal to d f ree , the free distance of the code. In HIPERLAN 2, d f ree 10 (without puncturing) Thanks to the DFT properties, one can ....

J. G. Proakis. Digital Communications. Mc Graw Hill, New York, USA, 3rd ed., 1995.


Turbo Space-Time Equalization of Broadband Wireless Channels - Koca (2001)   (Correct)

....a partial solution to the power and size problem. However, in order to achieve reliable communication and to cope with the growing demand for higher data rates over limited wireless channels, novel methods of utilizing the channel capacity and overcoming channel impairments must be employed [17]. Perhaps the single most important factor in providing reliable communications over wireless channels is diversity which is to exploit redundant information for the same information signal. The diversity techniques may be classi ed according to the means of providing this additional ....

....intersymbol interference channels, namely turbo equalization. 1. 3 Turbo Equalization It has been well known that trellis based decoding represents an e ective way of overcoming intersymbol interference (ISI) when data sequences are transmitted over frequency selective multipath fading channels [17]. In this approach, the multipath channel, along with the transmitter and receiver lters, are modelled as an equivalent convolutional encoder. In the case of narrowband channels where the maximum multipath delay spread is limited to a very small number of baud periods, the constraint length of ....

J.G. Proakis, Digital Communications, New York, NY, Mc-Graw Hill, 1995, 3rd edition.


A Deterministic Method for the Derivation of a Discrete .. - Pätzold, Killat, Shi..   (Correct)

....process. In such cases the WSSUS model (which is then sometimes also called GWSSUS or GUS model) is completely characterized by the scattering function [3] The scattering function S( f) is a two dimensional function that provides us with a measure of the average power output of the channel [13] as a function of the echo delay (due to the multipath propagation) and the Doppler frequency f (due to the vehicle movement) From S( f) two other important functions can be derived [1, 13] the echo delay power spectral density S ( also designated as multipath intensity profile, and ....

.... is a two dimensional function that provides us with a measure of the average power output of the channel [13] as a function of the echo delay (due to the multipath propagation) and the Doppler frequency f (due to the vehicle movement) From S( f) two other important functions can be derived [1, 13] : the echo delay power spectral density S ( also designated as multipath intensity profile, and the Doppler power spectral density S (f) These functions are defined as S ( S( f)df and S (f) S( f)d: 1a,b) Typically, the echo delay power spectral density ....

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J. Proakis: Digital Communications. McGraw-Hill, New York 1989.


Turbo Space-Time Equalization of TCM for Broadband Wireless.. - Koca, Levy   (1 citation)  (Correct)

....University of California, Davis, CA 95616 USA (eraall: levy ece.ucdavis.edu) I. INTRODUCTION It is well known that trellis based decoding represents an effective way of overcoming in tersymbol interference (ISI) when data sequences are transmitted over multipath frequency selective channels [1]. In this approach, the multipath channel, together with the trans mitter and receiver filters, is interpreted as an equivalent convolutional encoder for further processing at the receiver. Then channel equalization is achieved by maximum a posteriori (MAP) sequence or symbol by symbol ....

J.G. Proakis, Digital Communications, third edition. New York, NY, Mc-Graw Hill, 1995.


IEEE November 10 - 13, 1999 San Juan, Puerto Rico - Electrical Engineering For   (Correct)

.... Would our students be better served with a course that covers, admittedly in a overview fashion, such topics as E Commerce via telecommunications employing wireless, digital switching and fiber optics, multimedia and computer communications via the Internet [3] high definition television (HDTV) [4], micro electomechanical systems (MEMS) 5] and Robotics and Automation for manufacturing Looking beyond the FE for a moment, think about the perspective and the real information about ECE we should impart to non majors. Consider what electronic sensors, data acquisition systems, microprocessors ....

Digital Television Fundamentals, by M. Robin & M. Poulin, McGraw Hill, 1998.


Cyclostationarity In Partial Response Signaling: A Novel.. - Tsatsanis, Giannakis (1997)   (1 citation)  (Correct)

....respect, the scheme is similax to partial response signaling (e.g. 4, pg. 548] where controlled ISI is introduced to simplify the pulse design. The induced ISI is expected to have a negative effect in performance, but in partial response charonels, this effect has been observed to be minimal [4]. One might be tempted to discard all repetition based techniques by arguing that it is preferable to insert training symbols in the place of repeated symbols and perform trained equalization. This argument ignores the fact that in this case half of the transmitter s power would be devoted to ....

J. Proaids, Digital Communications, Mc Graw Hill, 1989.


Invited Paper - Chaos Communication In (2000)   (Correct)

....scheme There are many ways to design a modulatordemodulator pair, chaotic or not. Here we limit our interest to chaotic information signals modulated onto a sinusoidal carrier. Many different ways to use chaos in this context have been pro posed [1, and references therein] It is well known [2] that the study of the per formance of a band limited digital communication system can be carried out in terms of a discretetime base band model, 1) where n(k) is an instance of the stochastic pro cess of independent Gaussian random variables of variance No. This reduction is applicable in ....

....b that has the highest prob ability, given y) For proof we refer to the de tection theory literature, it is a standard result [7] Typically, the prior probabilities of the infor mation signal are uniform p(b) 1 M. This is either an assumption or the result of compression (source coding [2]) This simplifies (14) and leads to the maximum likelihood decision rule opt(Y) argmaxp (yl B: b) 15) where )b = p(y[B = b) are the likelihoods (in the proper sense) used as scores for the deci sion. Compared with the posterior probabilities p(B = blY = y) they have the advantage of being ....

[Article contains additional citation context not shown here]

J.G. Proakis: Digital communications, McGraw-Hill, New York, USA, 3rd edition, 1995.


Low Complexity Residual Phase Tracking Algorithm.. - Das, Rajakumar.. (2004)   Self-citation (Communications)   (Correct)

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J.G.Proakis, Digital Communications, 3rd ed. Mc Graw Hill, 1995.


Wireless Communications for Smart Dust - Hsu Kahn And (1998)   (3 citations)  Self-citation (Communications)   (Correct)

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J.G. Proakis, Digital Communications, Third Edition, Mc-Graw Hill, 1995.


Synchronizability of General Periodic Pattern Signals - Stantchev, Fettweis (2000)   Self-citation (Communications)   (Correct)

....] E[Re C 1,s jIm C 1,s ] N p,s e (24) It follows that M sqr,s has a non central chi square distribution and M c,s a Rician one. The mean of M sqr,s can be directly calculated from (18) as: E[M sqr,s ] N p,s 2N c # w = N c (# p,s # N c (N c 1)# p,s [13] =2# s N p,s (25) so that 2# s =2N c # w . The variance of M sqr,s is: Var[M sqr,s ] 4# w (# p ) 26) The mean and variance of M c,s are determined noting that the Rician K factor equals K = N p,s (2# s ) N c # s (2# s 1)# 1 so that the pdf of M c,s can ....

....spacing i A practical requirement to the performance of the frequency o#set estimate is # # 0.01 3 so that for an unbiased Gaussian estimate the estimation error is less than 1 with a proba bility of 99.72 . We derive the CRB of the unbiased carrier frequency o# set estimate from (12) as [13]: # # 2 2 #L (#, 1) 32) where the expectation is taken with respect to r. It is easily verified that for fixed values of N c and # increasing the number of periods B leads to a lower CRB. For example, if one compares two patterns (B,P) 8, 16) and ....

J. Proakis, Digital Communications, Mc-Graw Hill, 3. edition, 1995.


Unknown - In An Ultra (2005)   (Correct)

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J. G. Proakis, Digital Communications, Mc Graw Hill, New York, 4th edition, 2000.


Error Probability Analysis of Time-Reversal Space-Time .. - Jonietz, Gerstacker.. (2005)   (Correct)

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J.G. Proakis. Digital Communications. Mc Graw Hill, Boston, USA, 2000.


On Performance of SCH-OFDMA-CDM in Frequency Selective.. - Das, Rahman, Fitzek.. (2005)   (Correct)

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J.G.Proakis, Digital Communications, 3rd ed. Mc Graw Hill, 1995.


Data Transmission over Pilot Tones in OFDM Based Wireless .. - Das, Rahman, Fitzek.. (2004)   (Correct)

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J.G.Proakis, Digital Communications, 3rd ed. Mc Graw Hill, 1995.


Multi Rate Orthogonal Frequency Division Multiplexing - Das, Rahman, Fitzek (2005)   (Correct)

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J.G.Proakis, Digital Communications, 3rd ed. Mc Graw Hill, 1995.


Spread OFDM Performance with MMSE Equalization - Debbah, Loubaton, de Courville (2001)   (Correct)

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J. G. Proakis, Digital Communications, Mc Graw Hill, New York,


Coded Linear Precoded-OFDM versus COFDM: An.. - Debbah, Loubaton, de ..   (Correct)

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J. G. Proakis. Digital Communications. Mc Graw Hill, New York, USA, 3rd ed., 1995.


A Pseudo Random Postfix OFDM modulator and Inherent .. - Muck, de..   (Correct)

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J. G. Proakis. Digital Communications. Mc Graw Hill, New York, USA, 3rd ed., 1995.


Coding at the Sample Level for Data Hiding: Turbo and - Concatenated Codes Felix   (Correct)

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J. G. Proakis, Digital Communications, 2nd Ed., Mc Graw-Hill, New York, 1989.


Spread OFDM Performance with MMSE Equalization - Debbah, Loubaton, de Courville (2001)   (Correct)

No context found.

J. G. Proakis, Digital Communications, Mc Graw Hill, New York,


Optical Communication Systems for Smart Dust - Song (2002)   (Correct)

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J.G. Proakis, Digital Communications, Third Edition, Mc-Graw Hill, 1995.


Ka-Broadband Satellite Communication Using Cyclostationary.. - Lusina (1997)   (1 citation)  (Correct)

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J.G. Proakis. Digital Communicaions. Mc Graw-Hill, Montreal, 1989.


A new method for improving the performance and reducing the.. - Husson, Dany (1999)   (Correct)

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J. G. Proakis, Digital communications, Mc Graw Hill, 1989.


Double Differential Space-Time Block Coding for.. - Liu, Giannakis, Hughes (2000)   (4 citations)  (Correct)

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J. G. Proakis, Digital Communications, Third Edition, Mc-Graw Hill, 1995.

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