Adaptive filter theory
The hands-free telephone problem: an annotated bibliography
Signal Processing - Special issue on acoustic echo control
The echo shaping approach to acoustic echo control
Speech Communication - Special issue on acoustic echo control and speech enhancement techniques
Combined acoustic echo control and noise reduction for hands-free telephony
Signal Processing - Special issue on acoustic echo and noise control
Signal Processing - Special issue on current topics in adaptive filtering for hands-free acoustic communication and beyond
Acoustic signal processing for telecommunication
Acoustic signal processing for telecommunication
Time series: data analysis and theory
Time series: data analysis and theory
Acoustic Echo and Noise Control: A Practical Approach
Acoustic Echo and Noise Control: A Practical Approach
Advances in Network and Acoustic Echo Cancellation
Advances in Network and Acoustic Echo Cancellation
Adaptive tracking of linear time-variant systems by extended RLSalgorithms
IEEE Transactions on Signal Processing
Adaptive sampling rate correction for acoustic echo control in voice-over-IP
IEEE Transactions on Signal Processing
| Hi-index | 0.08 |
Acoustic echo canceler and postfilter for residual echo suppression are two essential building blocks of a hands-free voice communication system. Based on the Kalman filter theory, we derive a simple and advanced algorithm for the optimum joint statistical adaptation of both filter coefficients in time-varying and noisy acoustic environments. The Kalmar filter utilizes a stochastic state-space model of the acoustic echo path which is formulated entirely in the frequency-domain. The resulting adaptive algorithm is computationally efficient and inherently robust, i.e., the adaptation does not require additional regularization or control mechanisms.