@ARTICLE{Shams Esfand Abadi, author = {Shams Esfand Abadi, Mohammad and Palangi, Hamid and }, title = { The Unified Approach to Set-Membership and Selective Partial Update Adaptive Filtering Algorithms }, volume = {2}, number = {2}, abstract ={In this paper we show how the classical and modern adaptive filter algorithms can be introduced in a unified way. The Max normalized least mean squares (MAX-NLMS), N-Max NLMS, the family of SPU-NLMS, SPU transform domain adaptive filter (SPU-TDAF), and SPU subband adaptive filter (SPU-SAF) are particular algorithms are established in a unified way. Following this, the concept of set-membership (SM) adaptive filtering is extended to this framework, and a unified approach to derivation of SM and SM-SPU adaptive filters is presented. The SM-NLMS, SM-TDAF, SM-SAF, SM-SPU-NLMS, and SM-SPUSAF are presented based on this approach. Also, this concept is extended to the SPU affine projection (SPU-AP) and SPUTDAF algorithms and two new algorithms which are called SM-SPU-AP and SM-SPU-TDAF algorithms, are established. These novel algorithms are computationally efficient. The good performance of the presented algorithms is demonstrated in system identification application. }, URL = {http://ijict.itrc.ac.ir/article-1-265-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-265-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, doi = {}, year = {2010} }