L2 approximation error evaluation for the inverse of mixing-phase systems and channel equalization applications
Document Type
Conference Proceeding
Publication Date
9-18-2008
Abstract
The inverse system approximation using the finite impulse responses (FIR) and the corresponding model-order determination are essential to a broad area of signal processing applications such as seismic data processing, communication equalization, acoustic echo cancelation, plant control, etc. To the best of our knowledge, there exists no explicit formulation of the exact mean-square approximation error for the truncated inverse filters. Therefore, in this paper, we derive the exact L2 approximation error function with respect to the model orders for the truncated inverse filter using an FIR. Our newly derived L2 approximation error evaluation can be employed for the communication or signal processing system design involving the inverse filtering in the future. © 2008 IEEE.
Publication Source (Journal or Book title)
IEEE Wireless Communications and Networking Conference, WCNC
First Page
221
Last Page
225
Recommended Citation
Chang, S., & Wu, H. (2008). L2 approximation error evaluation for the inverse of mixing-phase systems and channel equalization applications. IEEE Wireless Communications and Networking Conference, WCNC, 221-225. Retrieved from https://repository.lsu.edu/eecs_pubs/2189