Title :
A new system identification method for fast echo canceler initialization
Author :
Ahmed, S. Arif ; Cruz, J.R.
Author_Institution :
Sharp Microelectron. Technol. Inc., Camas, WA, USA
fDate :
2/1/1996 12:00:00 AM
Abstract :
Proposes a new recursive version of an earlier technique for fast initialization of data-driven echo cancelers (DDECs). The speed of convergence and the covariance of the estimate of the proposed technique are comparable to the recursive least squares (RLS) algorithm, however, the computational complexity is no greater than the least mean square (LMS) algorithm. Analysis of computational complexity and the estimation error is also provided. Simulation results based on both floating-point and fixed-point arithmetic illustrate a remarkable improvement in terms of speed of convergence and steady-state error over the computationally comparable LMS algorithm
Keywords :
adaptive estimation; computational complexity; convergence of numerical methods; covariance analysis; digital arithmetic; echo suppression; error analysis; floating point arithmetic; interference suppression; recursive estimation; computational complexity; convergence; covariance; data-driven echo cancelers; estimation error; fast echo canceler initialization; fixed-point arithmetic; floating-point arithmetic; recursive version; steady-state error; system identification method; Computational complexity; Computational modeling; Convergence; Estimation error; Fixed-point arithmetic; Least squares approximation; Recursive estimation; Resonance light scattering; Steady-state; System identification;
Journal_Title :
Communications, IEEE Transactions on
