Sentence examples for digital modulation recognition from inspiring English sources

In this paper, an algorithm for automatic digital modulation recognition is proposed.

Developing more effective automatic digital modulation recognition (ADMR) algorithms is an essential step in the interception process.

The identification techniques, which had been employed to extract the signal features necessary for digital modulation recognition, include spectral-based feature set [7], higher order cumulants (HOC) [8, 9], constellation shape [10], and wavelets transforms [11, 12].

For instance the authors in [7] introduced two algorithms for analog and digital modulations recognition based on the spectral features of the modulated signal.

Hence, the research of automatic modulation recognition (AMR) of digital signals should be pay more attention.

Automatic recognition of the digital modulation plays an important role in various applications.

Jondral [12] proposes a modulation classifier utilizing the pattern recognition approach for recognition of both analog and digital modulation types.

The proposed automatic digital modulation classifier can be used for signal recognition in the next generation telecommunication systems, characterized by a flexible and dynamic management of the radio spectrum.

Further, the SVMFN uses a new definition of fuzzy density that incorporates accuracy and uncertainty of the classifiers to improve recognition reliability to classify nine digital modulation types (i.e. 2ASK, 2FSK, 2PSK, 4ASK, 4FSK, 4PSK, 16QAM, MSK, and OQPSK).

A second-generation system, GTE Airfone GenStar, employed digital modulation.

This system employs digital modulation methods and operates in the 1,670 1,675- and 1,800 1,805-megahertz bands.