In this correspondence, we propose an iterative "turbo" channel estimation algorithm for known symbol padding (KSP) orthogonal frequency-division multiplexing (OFDM), whe...
The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
Alberto Carini, V. John Mathews, Giovanni L. Sicur...
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
In this paper, we address the problem of database selection for XML document collections, that is, given a set of collections and a user query, how to rank the collections based o...
Abstract-- Information about the topology and link-level characteristics of a network is critical for many applications including network diagnostics and management. However, this ...