Adaptive filter theory
Adaptive signal processing algorithms: stability and performance
Adaptive signal processing algorithms: stability and performance
Multiuser Detection
Adaptive Filters
Theory on the speed of convergence in adaptive equalizers for digital communication
IBM Journal of Research and Development
Set-membership binormalized data-reusing LMS algorithms
IEEE Transactions on Signal Processing
Exact expectation analysis of the LMS adaptive filter
IEEE Transactions on Signal Processing
Convergence behavior of affine projection algorithms
IEEE Transactions on Signal Processing
Convergence analysis of the binormalized data-reusing LMS algorithm
IEEE Transactions on Signal Processing
On the convergence behavior of the LMS and the normalized LMSalgorithms
IEEE Transactions on Signal Processing
Partial-update NLMS algorithms with data-selective updating
IEEE Transactions on Signal Processing
Analysis of error-gradient adaptive linear estimators for a class of stationary dependent processes
IEEE Transactions on Information Theory
Spreading codes for direct sequence CDMA and wideband CDMA cellular networks
IEEE Communications Magazine
Adaptive receiver structures for asynchronous CDMA systems
IEEE Journal on Selected Areas in Communications
Decision feedback equalization for CDMA in indoor wireless communications
IEEE Journal on Selected Areas in Communications
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This paper objectively investigates the convergence and transient behaviors of symbol-rate adaptive receivers for direct sequence-code division multiple access (DS-CDMA) communication system in dispersive multi-path environment. The input signal vector is modeled as a simple stochastic model to simplify the analyses of the least mean square (LMS) and normalized least mean square (NLMS) adaptive receivers. The mean square error (MSE) learning curve, which is based on ensemble averaging of the squared estimation error, is applied to analyze the convergences of the adaptive receivers for DS-CDMA systems interfered with multiple access interference (MAI) and inter-symbol interference (ISI). The analytical results are verified with computer simulations. Computer simulations show that the analytical results are consistent with simulations.