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Table 2.7. Indoor Office Test Environment Tapped-Delay-Line Parameters Tap Channel A Channel B Doppler

in UNIVERSIDAD POLITÉCNICA DE MADRID
by E. T. S. I. Telecomunicación, F. Javier Sanz, Instructor Msc, Instructor Msc, Kimmo Kalliola, Kimmo Kalliola
"... In PAGE 87: ... This seems to give the best trade-off between data organisation and memory space, for the overhead is smaller than the one in ASCII and it is record oriented. One example of the memory used by these different formats is shown on Table2 where the original MATLAB file consisted of data stored in a 252x100 matrix of complex values. ... In PAGE 88: ... Table2 . Memory space example.... ..."

Table 1 Specification of shopping malls organized as testing bed. Shopping Mall A B C

in PAPER Special Section on Cyberworlds Efficient Web Browsing with Semantic Annotation: A Case Study of
by Product Images, E-commerce Sites
"... In PAGE 5: ...1 Configuration of Shopping Malls We organized three shopping malls as testing bed. The spec- ifications of each shopping mall are shown in Table1 . About 11.... ..."

Table 1: Results for the shopping model

in A Robust Algorithm For The Simultaneous Estimation Of Hierarchical Logit Models
by M. Bierlaire
"... In PAGE 15: ...pproximation (see Section 3.4.4), yielding to four variants. All tests have been computed on a 486DX (33 Mhz) PC computer using the HieLoW package (see for example Bierlaire, 1994 and Bierlaire and Vandevyvere, 1995) running in the Windows environment. Main results are gathered in Table1 for the shopping model and Table 2 for the parking model. For each variant of the algorithm, the following information is reported : the total number of iterations (Iter.... In PAGE 18: ...1 1 10 Magnitude 0 5 10 15 20 25 30 35 Iteration Step Trust region Figure 5: Step magnitude and trust region size not negligible (column OK of Table 3). Note that column -CURV of Table 3 gathers the same information as the last line in Table1 and 2. 4.... ..."

Table 1: Results for the shopping model

in hierarchical logit
by unknown authors 1995
"... In PAGE 15: ...pproximation (see Section 3.4.4), yielding to four variants. All tests have been computed on a 486DX (33 Mhz) PC computer using the HieLoW package (see for example Bierlaire, 1994 and Bierlaire and Vandevyvere, 1995) running in the Windows environment. Main results are gathered in Table1 for the shopping model and Table 2 for the parking model. For eachvariant of the algorithm, the following information is reported : the total number of iterations (Iter.... In PAGE 18: ...1 1 10 Magnitude 0 5 10 15 20 25 30 35 Iteration Step Trust region Figure 5: Step magnitude and trust region size not negligible (column OK of Table 3). Note that column -CURVofTable 3 gathers the same information as the last line in Table1 and 2. 4.... ..."

TABLE I Normalized MSE in dB obtained with the LS and MMSE channel estimators for the indoor environment, scenario 1.

in Space-time algorithms for multiuser channel estimation in the downlink of UMTS/TDD," submitted to
by K. Kopsa, H. Artés, G. Matz, F. Hlawatsch 2003
Cited by 1

Table 2-3 Channel model specification

in Smart Antennas & Power Management in Wireless Networks
by H. Reed, Vikash Srivastava, Vikash Srivastava
"... In PAGE 9: ...ix Table2 -1 Transmitter/Receiver Specification.... In PAGE 9: ...able 2-1 Transmitter/Receiver Specification.................................................................. 26 Table2 -2 Node position amp; traffic distribution specification.... In PAGE 9: ...able 2-2 Node position amp; traffic distribution specification............................................ 27 Table2 -3 Channel model specification.... In PAGE 9: ...able 2-3 Channel model specification............................................................................ 28 Table2 -4 Simulation Parameter Test Scenario I.... In PAGE 9: ...able 2-4 Simulation Parameter Test Scenario I.............................................................. 29 Table2 -5 Simulation Parameter Test Scenario II.... In PAGE 9: ...able 2-5 Simulation Parameter Test Scenario II............................................................. 32 Table2 -6 Simulation parameter Test Scenario III.... In PAGE 9: ...able 2-6 Simulation parameter Test Scenario III............................................................ 34 Table2 -7 Simulation Parameter Test Scenario IV .... In PAGE 9: ...able 2-7 Simulation Parameter Test Scenario IV ........................................................... 36 Table2 -8 Simulation Parameter Test Scenario V.... In PAGE 9: ...able 2-8 Simulation Parameter Test Scenario V............................................................. 37 Table2 -9 Specification of VT-STAR.... In PAGE 9: ...able 2-9 Specification of VT-STAR............................................................................... 40 Table2 -10 Profiling amp; Optimization on VTSTAR.... In PAGE 9: ...able 2-10 Profiling amp; Optimization on VTSTAR.......................................................... 42 Table2 -11 Algorithm Convergence Parameter Values .... In PAGE 35: ....5.2 Transmitter/Receiver Architecture amp; Specification The transmitter and the receiver specification were taken from commercially available wireless LAN products to make the simulation model resemble a real world scenario as closely as possible. Table2 -1 provides the specification for the implemented transmitter and the receiver characteristic. Table 2-1 Transmitter/Receiver Specification Characteristic Specification Transmitter Maximum Transmit Power 20dBm Node Position and Traffic Distribution Simplified 802.... In PAGE 35: ... Table 2-1 provides the specification for the implemented transmitter and the receiver characteristic. Table2 -1 Transmitter/Receiver Specification Characteristic Specification Transmitter Maximum Transmit Power 20dBm Node Position and Traffic Distribution Simplified 802.11b MAC Channel Model 1.... In PAGE 36: ... The network dimension was varied between 10 m to 200 m to study the performance of the proposed algorithm on the network throughput under different network area. Table 2-2 presents the random distributions of nodes in the network that were considered Table2 -2 Node position amp; traffic distribution specification Distribution Type Characteristic Specification Uniform The x and y coordinates were distributed uniformly in the network area. x = uniform(10,N) y = uniform(10,N) Gaussian The x and y coordinates were distributed with Gaussian distribution around the center of the network.... In PAGE 38: ... The simulation was run for enough packet slots so that the weight tables get updated and nodes can start communicating using smart antennas. Table2 -4 Simulation Parameter Test Scenario I Characteristic Specification Simulation Type Constant EIRP Node Distribution Uniform along X,Y Number of Nodes 50 Number of Antenna Element 4 Adaptive Algorithm LMS Transmit Power 15.48dBm (35.... In PAGE 41: ... Since the throughput of the network is heavily dependent on the node position and the network area, we present the throughput comparison between with MAC using smart antennas and network with MAC using omni directional antenna. Table2 -5 Simulation Parameter Test Scenario II Characteristic Specification Simulation Type Constant EIRP Node Distribution Uniform Number of Nodes 50 Number of Antenna Element 4 ... In PAGE 43: ... It can be observed that the network with smart antenna performs consistently better in this scenario. Table2 -6 Simulation parameter Test Scenario III Characteristic Specification Simulation Type Constant Power Node Distribution Uniform Number of Nodes 50 Number of Antenna Element 4 Adaptive Algorithm LMS Transmit Power 15.48dBm (35.... In PAGE 45: ...36 improvement is considerable in network using smart antenna as compared to network using omni directional antenna. Table2 -7 Simulation Parameter Test Scenario IV The performance of the two-element smart antenna system is better for lower network area than the four-element system in constant power scenario. The reason for this seemingly contradicting result is that with four elements the gain can be very high (up to 6dB) whereas for two elements the maximum gain is low (up to 3dB).... In PAGE 46: ... It can be observed that with constant EIRP the smart antenna system consistently performs better than the omni directional scenario. Table2 -8 Simulation Parameter Test Scenario V Characteristic Specification Simulation Type Constant EIRP Node Distribution Uniform along axis X , Narrow along axis Y Number of Nodes 50 Number of Antenna Element 2 Adaptive Algorithm LMS Transmit Power 15.48dBm (35.... In PAGE 49: ... VT-STAR is a real time wireless communication system based on Texas Instrument TMS C6701 Digital Signal Processor (DSP). The system specifications are provided in Table2 -9. Table 2-9 Specification of VT-STAR Carrier Frequency 2.... In PAGE 49: ... The system specifications are provided in Table 2-9. Table2 -9 Specification of VT-STAR Carrier Frequency 2.050 GHz.... In PAGE 51: ...42 Table2 -10 Profiling amp; Optimization on VTSTAR ALGORITHM CYCLES ( c ) CYCLES OPTIMIZED (ASM) % Reduction In Cycles LMSE 4039 2001 50.46 CMA 5050 2536 49.... In PAGE 51: ...24 To compare the implemented algorithms, we profiled their performances on the VT- STAR system. Table2 -10 provides profiling results. We found that the RLS algorithm was the fastest algorithm to converge and the LMS algorithm was the slowest.... In PAGE 53: ...44 we came up with the following optimal values for the algorithm in an office-like indoor environment. Table2 -11 Algorithm Convergence Parameter Values Algorithm Step Parameter (Delta) CMA 0.03 LMS 0.... ..."

TABLE II MAIN EFFECTS OF STIMULATION ON BROWSING IN SHOPPING MALL

in Cross-Category Effects of Induced Arousal and Pleasure on the Internet Shopping Experience
by Satya Menon, Barbara Kahn 2002
Cited by 4

TABLE II ITU-R M.1225 INDOOR B CHANNEL MODEL.

in UEP for Video Transmission in Space-Time Coded
by Ofdm Systems Guang-Hua

Table 1. Power delay profiles of Office-A (OffA) and Office-C (OffC) channels

in Error Probability Analysis of Time-Reversal Space-Time Block Codes for CCK Transmission over Frequency-Selective MIMO Fading Channels
by Christof Jonietz, Wolfgang H. Gerstacker, Robert Schober 2005
"... In PAGE 5: ... The following results are based on multipath Rayleigh fading models developed by the Joint Technical Commit- tee (JTC) [16]. The considered power delay profiles of the Office-A and Office-C channels are given in Table1 (de- lay and relative attenuation (Rel.... ..."
Cited by 1

Table 2 JTC Office-C power delay profile

in Reduced-State Sequence Estimation for Complementary Code Keying
by Christof Jonietz, Wolfgang H. Gerstacker, Robert Schober 2004
"... In PAGE 4: ... V. NUMERICAL RESULTS For numerical results, we consider the Office-C power delay profile depicted in Table2 . The Office-C profile is a special case of profiles developed by the Joint Technical Commitee (JTC) to characterize indoor radio environments [9].... ..."
Cited by 2
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