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The set of distortion typical sequences is called the distortion typical set and is denoted A(n) . d, Note that this is the de nition of the jointly typical set (Section 7.6) with the additional constraint that the distortion be close to the expected value. Hence, the distortion typical set is a subset of the jointly typical set (i.e., A(n) A(n) ). If (Xi , Xi ) are drawn i.i.d p(x, x), the distortion d, between two random sequences d(X n , X n ) = 1 n

Due to the dense deployment of a greater number of nodes, a higher level of fault tolerance is achievable in wireless sensor networks. Coverage of a large area is possible through the union of coverage of several small sensors. Coverage of a particular area and terrain can be shaped as needed to overcome any potential barriers or holes in the area under observation. It is possible to incrementally extend coverage of the observed area and density by deploying additional sensor nodes within the region of interest. An improvement in sensing quality is achieved by combining multiple, independent sensor readings. Local collaboration between nearby sensor nodes achieves a higher level of con dence in observed phenomena. Since nodes are deployed in close proximity to the sensed event, this overcomes any ambient environmental factors that might otherwise interfere with observation of the desired phenomenon.

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Code Measurements 1. Stand-alone receiver GNSS A-GNSS Pseudolites GNSS w LAAS GNSS SD w (3) Pseudolites SD w (3) GNSS w SBAS GNSS w GBAS GNSS DD w (2) Pseudolites DD w (2) Phase Measurements

NSPipe *writePipe = [NSPipe pipe]; NSFileHandle *writeHandle = [writePipe fileHandleForWriting];

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(11.26)

livelock, 241 power consumption, 242 243 quasi-stationary, 244 scalability, 244 self-maintenance, 244 self-organization, 244 TDMA, 33 throughput, 243 unlicensed frequency bands, 244 MACA, 259 261 MANTIS, 174, 188 192 com, dev, net layers, 189 191 kernel, 188 memory management, 188 189 power management, 191 maximum likelihood, 479 MDS-MAP, 287 message complexity, 345 microsensor node hardware, 175 177 EEPROM, 175 176 ash, 175 peripheral interfaces, 176 power systems, 176 177 radios, 176 SRAM, 175 minimal spanning tree, 317 318, 332, 390, 434 435 LMST, 318 322, 332, 337, 434 435, 441 442, 443 minimum power topology, 325 326 mobile sensors, 445 mobile sink, 444 445 modeling, 109 110, 344 genetic material, 110 multicasting, 395 396, 437 multidimensional scaling, 304 308 multilateration, 298 300 multiple access control, see MAC neighbor discovery, 315 316 network dynamics, 203 network management, 186 network reliability, 31 packet reliability, 32 33 PicoRadio network, 31 operating systems, 34 35, 173 197 applications, 181 182 bridging to IP networks, 185 186 comparison summary, 192 194 CPU bandwidth, 179 data memory, 178 179 design principles, 177 182

(Continued) Type Experimental Participants 10 varsity female basketball players Preparatory Routine Ritual condition: unlimited time and freedom of movement prior to each free-throw attempt. Nonritual condition: shooting the ball without utilizing any movements other than those required to shoot the ball under nonrestricted period of time. (a) Mental imagery; ( b) an arousal adjustment strategy; (c) a combined imagery with arousal adjustment. Preshot routine: players shot as they normally did, using their own preshoot routine. No routine: players performed the shot without using any kind of preshot preparation. Total length of subjects preputt behaviors and the amount of time after the putter was grounded behind the ball; number of practice swings and glances at the hole. Behavioral routine: proper alignment to the target, good posture, and consistent ball positions. Cognitive routine: making a strong decision and commitment to the club selected, the type of shot to be played, and the position of the target. Preshot interval data were obtained. Motor Task Free throws in basketball Results No differences between conditions for free-throw success; duration of behaviors was most crucial to free-throw shooting success.

Source: From Some Comments on Clinical Research, by G. T. Wilson, 1981, Behavioral Assessment, 3, pp. 217 226. Reprinted by permission, Association for Advancement of Behavior Therapy.

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