Signal identification is an umbrella term for signal processing techniques designed for the
identification of the transmission parameters of unknown or partially known communication …

Blind signal processing methods have been very popular recently since they can play
crucial roles in the prevalent cognitive radio research. Blind encoder identification has …

Modulation type is one of the most important characteristics used in signal waveform
identification and classification. Spatial correlation is a crucial factor for practical multiple …

We present a fast algorithm that, for a given input sequence and a linear channel code,
computes the syndrome posterior probability (SPP) of the code, ie, the probability that all …

Signal identification, a vital task of intelligent communication radios, finds its applications in
various military and civil communication systems. Previous works on identification for space …

Automatic signal identification (ASI) has important applications to both commercial and
military communications, such as software-defined radio, cognitive radio, spectrum …

Signal classification is important in various commercial and military applications. Multiple
antenna systems complicate the signal classification problem since there is now the issue of …

This paper proposes an efficient identification algorithm for spatial multiplexing (SM) and
Alamouti (AL) coded orthogonal frequency-division multiplexing (OFDM) signals. The cross …

Blind signal classification, a major task of intelligent receivers, has important civilian and
military applications. This problem becomes more challenging in multi-antenna scenarios …

A novel algorithm for blind identification of spatial multiplexing and Alamouti space-time
block code is proposed in this paper. It relies on the Kolmogrov-Smirnov test, and employs …