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computing the model components For example, the global data table is split into two subsets The calibration set contains all samples used to compute the model components, using both X and Y values The test set contains all the remaining samples, for which X values are fed into the model once a new component has been computed The predicted Y values are then compared to the observed Y values, yielding a prediction residual that can be used to compute a validation residual variance, or a measure of the uncertainty of future predictions, called root mean square error of prediction (RMSEP) This value is calculated for each modeled response and indicates the average uncertainty that can be expected when predicting Y values for new samples, expressed in the same units as the Y variables Table 3 gives a formula for RMSEP.

Much of the work to date on STC-OFDM assumes a multipath channel in which fading from each transmit antenna to any receive antenna is independent. Such is valid only in a rich scattering environment. In many wide-area applications, the base station (BTS) is usually placed high above the ground and is not surrounded by scatters. The multipaths at the basestation antenna array will have distinct angles with each multipath corresponding to a distant scatter. As a result, the fadings in the MIMO channel are correlated with each other. Since the BTS-to-user transmission is more important in asymmetric applications, there is a strong need for an optimized space-time downlink modem for such channel conditions. In this section, we present a downlink MIMO beamforming scheme suitable for outdoor applications.

The results of future predictions can then be presented as the predicted values RMSEP This measure is valid provided that the new samples are similar to those used for calibration Otherwise, the prediction error might be much higher No assumption about statistical error distribution is made for modeling As a consequence, prediction error cannot be given as a proper statistical interval estimate (eg, twice the standard deviation, etc) RMSEP is a practical average prediction error and if both calibration and validation sample sets are representative of future samples to predict, it is a good error estimate With cross-validation, the same samples are used both for model estimation and testing Cross-validation represents an alternative way of utilizing samples for validation if their number is small or moderate.

0.352 0.938 1.423 2.383 0.011 0.018 0.031 0.062

where l is the wavelength change, and l0 is the average wavelength. As with the instrumentation for the 2 1 algorithm (Section 14.8.6), this phase shift corresponds to the difference in the number of wavelengths that t into the OPD at the two wavelengths. The laser wavelength can either be stepped to implement the phase-step PSI approach or ramped for the integrating-bucket approach. This method of phase shift eliminates the need for a mechanical motion of a PZT and the associated highvoltage drive circuit. A source modulation interferometer has been used to measure both surfaces and the refractive index inhomogeneities of a glass plate from a set phase-shifted interferograms (Okada, Sakuta, Ose and Tsujiuchi, 1990). The plate is put in the test arm of a Twyman Green interferometer, and fringes are formed between the reference surface and the front surface re ection, the reference and the rear surface re ection, and between the two surface re ections. Since each of these overlapping fringe patterns corresponds to a different OPD, each phase shifts at a different rate, and the analysis is able to separate the three quantities to be measured.

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