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One handy lowsrc technique first proportionately scales down a large file in a graphics-processing program. This file becomes your lowsrc file. Because browsers use the final image s height and width information for both the lowsrc and the final image, your visitors immediately see a blocky version of your graphic, which is replaced by the final version when the picture is fully loaded. n

ax' = _(Z'-ly,-I('9 y_1)avec(Y) _ (Z'-I ax'

= lim h(Xn |Xn 1 , . . . , X1 ).

As we have seen in the example of the binary erasure channel, feedback can help enormously in simplifying encoding and decoding. However, it cannot increase the capacity of the channel. 7.13 SOURCE CHANNEL SEPARATION THEOREM

phenomenon has been termed isomorphism. See DiMaggio and Powell, 1991.

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Weisswurst, literally, white sausage, is a traditional Bavarian sausage made from very nely minced veal and fresh pork bacon. It is usually avored with parsley, lemon, mace, onions, ginger, and cardamom, though there are some variations. The mixture is then stuffed into fresh, clean pork casings and separated into individual sausages about 10 to 12 cm in length and about 2 cm in thickness. As it is very perishable, Weisswurst is traditionally manufactured early in the morning and prepared and eaten as a snack between breakfast and lunch; there is a saying that the sausages should not be allowed to hear the church bells noon chime. The sausages are heated in water, broth, or white wine just short of boiling, for about 10 minutes, which will turn them grayish white because no preserving nitrite is used in Weisswurst preparation (Wikipedia).

Remark. Oblique projections arise in the study of instrumental variable methods in system identification (see, e.g., Soderstrh and Stoica (1983)). They also arise in some communications and array processing applications and in higher-order spectral (HOS) analysis methods (see, e.g., Kayalar and Weinert (1989) and Behrens and Scharf (1994). See also Prob. VII.23). A Kalman-type filter for performing oblique state-space estimation was

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onClipEvent (enterFrame) { if (clicked) { _root.ScrollBox.scroll+=1; _root.CompSlider.slideBar._y+=5.5555; if (_root.CompSlider.slideBar._y>=100) { _root.CompSlider.slideBar._y=100; } }

local area telecommunication systems, 291 299 measurements, 284 navigation application, 275 perceived needs, 276 pressure sensors, 289 radio frequency identi cation (RFID), 290 radio modules, 299 recap tables, 306 sensors network, 287 289 solutions, 279 282 techniques, 277 278, 284 286 ultrasound, 287 UMTS, 301 UWB, 296 297 wide-area telecommunication systems, 299 303, 300 WiFi (WLAN), 294 295 WiMax (WMAN), 298 WPAN, 296 297 Non-GNSS positioning system, 303 Non-GNSS positioning systems outdoor techniques, 95 127 accelerometers, 124 amateur radio transmissions, 102 Argos system, 115 116 barometers and altimeters, 126 Beidou and COMPASS, 121 cameras, 100 GAGAN, 121 gyroscopes, 125 ILS, MLS, VOR, DME, 107 large area without contact or wireless systems, 96 luminosity measurements, 101 magnetometers, 126 mobile telecommunication networks, 108 113 non-radio-based systems, 123 125 odometers, 125 optical systems, 97 101, 99 QZSS, 119 120 radio signals, 114 satellite radio systems, 117 118, 119 terrestrial radio systems, 101 115 WPAN, WLAN, WMAN, 114 Non-GPS devices navigational capabilities, 370 Non line of sight (NLOS), 191 path, 285

Results in a parallel hierarchy. Domain DTOs duplicate objects in the domain model, resulting in duplicate attributes and methods. Cumbersome for updating domain objects. Merging changes from an aggregate data transfer object (a domain object that contains other domain objects) is difficult and cumbersome. What if only one domain data transfer object deep in the tree was changed Ugly code needs to be written to detect this.

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Sample SNAC SNAC NT2 NT2 SC SC Medium Medium 30 mM KCl + + + + Dopamine concentration 0.39 0.07 nM 0.039 nM Not detectable Not detectable Not detectable Not detectable Not detectable Not detectable

of the series. The behavior of the function suggests two inputs, respectively, yt to forecast yt 2 , yt 1 . The points between the two dotted lines of Figure 4.4 are within two standard deviations of the estimated partial autocorrelation. The performance of the ePL is compared with MLP, ANFIS, eTS, and xTS models. The models were developed to forecast hourly loads during the 24-hour period of August 31, 2000. The models were developd using data from August 1, 2000 until August 30, 2000. Data were normalized to t the unit interval as follows: yt zt min max min

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