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The paper presents the development and validation of an automatic digital modulation classifier based on a waveform digitizer architecture.
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.
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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).
In [13, 14] the Spectral Coherence Function (SOF) was used to classify lower-order digital modulation schemes.
Jondral [12] proposes a modulation classifier utilizing the pattern recognition approach for recognition of both analog and digital modulation types.
These phones employed either analog modulation, digital modulation, or spread-spectrum modulation.
Analog and digital modulation and demodulation.
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.
This type of digital modulation is known as frequency-shift keying, or FSK.
Unlike analog modulation, digital modulation empowers the designer to use many digital signal processing techniques such as forward error correction, thus enabling communication under harsh channel conditions.
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