A fully recurrent neural network-based model for predicting spectral regrowth of 3G handset power amplifiers with memory effects

IEEE Microwave and Wireless Components Letters

Volumn 16, Issue 11, 2006, Pages 621-623

  Luongvinh, Danh ^a,b   Kwon, Youngwoo ^a,b  

^a Seoul National University ^*

^b Seoul National University   (South Korea)

Author keywords

Adjacent channel leakage ratio (ACLR); Behavioral modeling; High speed downlink packet access (HSDPA); Memory effects; Recurrent neural network (RNN)

Indexed keywords

CHANNEL CAPACITY; CODE DIVISION MULTIPLE ACCESS; DATA STORAGE EQUIPMENT; PACKET NETWORKS; POWER AMPLIFIERS; SPECTRUM ANALYSIS; TELEPHONE SETS;

ADJACENT CHANNEL LEAKAGE RATIO (ACLR); BEHAVIORAL MODELING; HIGH-SPEED DOWNLINK PACKET ACCESS (HSDPA); MEMORY EFFECTS;

RECURRENT NEURAL NETWORKS;

EID: 33750835670     PISSN: 15311309     EISSN: None     Source Type: Journal    
DOI: 10.1109/LMWC.2006.884910     Document Type: Article

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