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HelpForeColor (Public Instance Property)

The probability of a hit is 1 P0 hit and the probability of error given a hit is 1 , which 2 yields an overall error probability Ps,FHCDMA = 1 (1 P0 2

TIN CAN WAVEGUIDE ANTENNA (CANTENNA)

Even though it s not necessarily fashionable to admit it, I like SCSI even though it s not the newest kid on the block, and here s why:

48-parallel complex data symbols (a) 6 Mbps, r = 1/2 BPSK 9 Mbps, r = 3/4 BPSK 12 Mbps, r = 1/2 QPSK 18 Mbps, r = 3/4 QPSK 27 Mbps, r = 9/16 16QAM 36 Mbps, r = 3/4 16QAM 54 Mbps, r = 3/4 64QAM Interleaving OFDM PSK/QAM s(t )

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where INr is the Nr Nr identity matrix, is the mean SNR per RX branch, and Rss is the correlation matrix of the transmit data (if data at the different antenna elements are uncorrelated, it is a diagonal matrix with entries that describe the power distribution among antennas).12 The distribution of power among the different eigenmodes (or antennas) depends on the amount of CSIT; we also assume for the moment that the RX has perfect CSI. The equations above con rm our intuitive picture that capacity increases linearly with min(Nt , Nr , Ns ), as the number of nonzero singular values RH is upper-limited by min(Nt , Nr , Ns ). No Channel State Information at the Transmitter and Full CSI at the Receiver When the RX knows the channel perfectly, but no CSI is available at the TX, it is optimum to assign equal transmit power to all TX antennas, Pk = P /Nt , and use uncorrelated data streams. Capacity thus takes on the form: C = log2 det INr + HH Nt (20.38)

The author is indebted to his colleagues of the Materials Technology and Process Technology Groups of VITO. Special thanks are due to Mrs Hong Chen and Mr Raymond Kemps of VITO s Centre for Materials Advice and Analysis; skilled operators of EPMA and FEG-SEM, respectively.

Prohorov, Y. V., 23, 27 Projection pursuit, 153, 198, 200, 225, 283 Proposal 2 , 135, 141, 143, 293 breakdown point, 140 Pseudo-covariance matrix, 21 1 determined by implicit equations, 212 Pseudo-observations, 19, 192 Pseudo-variance, 13 Quadrant correlation, 206 Qualitative robustness, 9, 11 of L-estimate, 59 of M-estimate, 53 of R-estimate, 64 Quantile influence function, 56 Quantile range normalized, 12 Quantitative robustness of L-estimate, 59 of M-estimate, 53 of R-estimate. 64 Quasi-likelihood estimator GLM, 304 Quasi-likelihood function, 304 Quenouille, M.H., 15 R-estimate, xvi, 45, 60, 125 asymptotically efficient, 67 bias, 65 breakdown point, 66 gross error sensitivity, 290 influence function, 62 minimax properties, 95 of location, 62 of regression, 162 of scale, 112, 115 of shift, 62 quantitative and qualitative robustess, 64 Randomization test, 298 Randomized estimate, 272, 274, 278 Rank correlation Spearman, 205 Rank test, 275 estimate derived from, see R-estimate Redescending M-estimate, 97 breakdown point, 283 enforcing uniqueness, 55 minimax, 97 of regression, 186 sensitive to wrong scale, 98 Redundancy, 152, 154, 239, 285

d in reste I n te s M ai l gi ng ou cha n ce Y an pear ap so m e : Fo r a re ca n t e re , th easo n io n r ra t n f igu s n o co r t hi n s fo o p t io re . fea tu

The Year function returns an integer value ranging from 0 to 9999 representing the year of the date passed. The Year function has one required argument: TimeValue: The date value from which you want to extract the year. Dim d As Date Dim intYear As Integer

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