Approximated proportionate affine projection algorithms for block-sparse identification
- Resource Type
- Conference
- Authors
- Albu, Felix; Liu, Jianming; Grant, Steven L.
- Source
- 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2016 13th International Conference on. :1-4 Jun, 2016
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Approximation algorithms
Projection algorithms
Complexity theory
Echo cancellers
Convergence
Adaptive filters
System identification
Proportionate affine projection algorithm
block-sparse system identification
adaptive filter
- Language
In this paper two block-sparse approximated memory improved proportionate affine projection algorithm are proposed for block sparse system identification. An approximation is used for a recently proposed family of block-sparse proportionate affine projection algorithms. It is shown that the proposed algorithms have close convergence performance to the original ones and they are less numerically complex. An investigation of the influence of their parameters is also presented.