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Matlab standard deviation
Matlab standard deviation













  1. #Matlab standard deviation generator
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  • 11.4.3 Dedicated physical uplink channels.
  • 11.3.5 Evolution of air interface cdmaOne to cdma2000.
  • 11.3.3.6 MS processing of forward link signal.
  • 11.3 Air interfaces cdmaOne (IS-95) and cdma2000.
  • 11.2.1 General system principles and architecture.
  • 11 Examples of operational wireless spread spectrum systems.
  • 10.3.5 Transmit diversity in spread spectrum applications.
  • 10.3.2 Efficiency of transmit diversity.
  • 10.3.1 Transmit diversity and the space–time coding problem.
  • 10.3 Transmit diversity and space–time coding in CDMA systems.
  • 10.2.2 Conventional MC transmission and OFDM.
  • 10.1.6 Asynchronous multiuser detectors.
  • 10.1.3 Minimum mean-square error detection.
  • 10.1.1 Optimal (ML) multiuser rule for synchronous CDMA.
  • 10.1 Multiuser reception and suppressing MAI.
  • 10 Some advancements in spread spectrum systems development.
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  • 9.3.2 Trellis diagram, free distance and asymptotic coding gain.
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  • 9.2.4 Choice of generator polynomials for CRC.
  • 9.2.3 Syndrome calculation and error detection.
  • 9.2.2 Linear codes and their polynomial representation.
  • 9.2.1 Binary block codes and detection capability.
  • 9 Channel coding in spread spectrum systems.
  • 8.3 Acquisition acceleration techniques.
  • 8.2.3 Minimizing average acquisition time.
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  • 8.2.2 Probability of correct acquisition and average number of steps.
  • 8.1 Acquisition and tracking procedures.
  • 8 DS spread spectrum signal acquisition and tracking.
  • 7.5.1 Frequency-offset binary m-sequences.
  • 7.5 Examples of minimax signature ensembles.
  • 7.4 Time-offset signatures for asynchronous CDMA.
  • 7.3 Approaches to designing signature ensembles for asynchronous DS CDMA.
  • 7.2.2 Optimizing signature sets in minimum distance.
  • 7.2 Designing signature ensembles for synchronous DS CDMA.
  • 7.1.1 Direct sequence spreading: BPSK data modulation and binary signatures.
  • 7.1 Data transmission via spread spectrum.
  • 7 Spread spectrum signature ensembles for CDMA applications.
  • 6.13 FSK signals with optimal aperiodic ACF.
  • 6.12 Suppression of sidelobes along the delay axis.
  • 6.11 Sequences with perfect periodic ACF.
  • 6.10 Binary codes with good aperiodic ACF: revisited.
  • 6.6.2 Linear sequences over finite fields.
  • 6.6 Initial knowledge on finite fields and linear sequences.
  • 6.5 Perfect periodic ACF: minimax binary sequences.
  • 6.4 Optimization of aperiodic PSK signals.
  • 6.3 Criterion of good aperiodic ACF of APSK signals.
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  • 6.2 Signals with continuous frequency modulation.
  • 6 Spread spectrum signals for time measurement, synchronization and time-resolution.
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    5.6 Processing gain of discrete signals.5.5 Correlation functions of FSK signals.

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  • 5.4 Calculating correlation functions of code sequences.
  • 5.3 Correlation functions of APSK signals.
  • 5.2 General model and categorization of discrete signals.
  • 4.6.2 Number of users per cell in asynchronous CDMA.
  • 4.6.1 The resource reuse problem and cellular systems.
  • 4.6 Asynchronous CDMA in the cellular networks.
  • 4.4 Synchronous code division multiple access.
  • 4.1 Multiuser systems and the multiple access problem.
  • 4 Multiuser environment: code division multiple access.
  • 3.7 Multipath diversity and RAKE receiver.
  • 3.5 Propagation effects in wireless systems.
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  • 2.14 Simultaneous estimation of time delay and frequency.
  • 2.12 Estimation of the bandpass signal time delay.
  • 2.11 Autocorrelation function and matched filter response.
  • 2.8.1 Problem statement and estimation rule.
  • 2.7.3 Spread spectrum orthogonal coding.
  • 2.6 Trade-off between orthogonal-coding gain and bandwidth.
  • 2.5 M-ary data transmission: noncoherent signals.
  • 2.4 Complex envelope of a bandpass signal.
  • 2.3 M-ary data transmission: deterministic signals.
  • 2.2 Binary data transmission (deterministic signals).
  • 2.1 Gaussian channel, general reception problem and optimal decision rules.
  • 2 Classical reception problems and signal design.














  • Matlab standard deviation