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A stereophonic echo canceler is proposed based on the Normalized LMS algorithm with orthogonal correction factors (NLMS-OCF). The echo canceler is modeled using a two-input single-output finite-impulse-response (FIR) structure. NLMSOCF updates the echo canceler coefficients based on multiple input vectors, while NLMS adapts the coefficients based on a single input vector. The proposed algorithm is simulated in MATLAB with two different types of source signals in the farend room, namely white noise and USASI noise. Simulation results indicate that the NLMS-OCF algorithm produces faster convergence than the well-known stereo projection algorithm, in terms of faster improvement in echo-return loss as well as faster reduction in impulse response misalignment.

• Unbiased Equation Error
• Algorithm Analysis
• Stereophonic Echo Cancellation
• Affine Projection Algorithm
• Filter Structures
• Adaptive Filtering
• Adaptive IIR Filtering