Systems identification techniques are an essential part of many practical applications. The proposed project will investigate effective adaptive algorithms for various applications such as Active Noise Control (ANC), Acoustic Echo Cancellation (AEC), Acoustic Feedback Cancellation (AFC) or Noise Reduction (NR). We propose to develop new ANC algorithms in the frequency domain with superior performance in terms of convergence and misalignment. Also, using innovative approximations, we will try to reduce the complexity of an ANC integrated solution NR for hearing aids without a significant reduction of performance. Another innovative approach is the design of solutions based on one-dimensional watermarking or audio reversible data hiding. The research performed in this project will be verified by simulations of conditions as close as possible to real situations
IEEE APSIPA ASC 2019, by: Sinaia | November 18 – November 21, 2019, 11th annual conference organized by Asia-Pacific Signal and Information Processing Association (APSIPA)
IEEE ICSTCC 2018, by: Sinaia | October 31 – October 4, 2018, International Conference on Systems Theory, Control and Computing
IEEE ICSP 2018, by: Beijing | August 12 – 16, 2018, 14th IEEE International Conference on Signal Processing
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