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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Use of Time-Frequency Analysis and Neural Networks for Mode Identification in a Wireless Software-Defined Radio Approach | EURASIP Journal on Applied Signal Processing 2004 12 1778-1790 2004 Hindawi Publishing Corporation Use of Time-Frequency Analysis and Neural Networks for Mode Identification in a Wireless Software-Defined Radio Approach Matteo Gandetto Signal Processing and Telecommunication Group SP T Biophysical and Electronic Engineering Department University of Genoa 16145 Genoa Italy Email gandetto@dibe.unige.it Marco Guainazzo Signal Processing and Telecommunication Group SP T Biophysical and Electronic Engineering Department University of Genoa 16145 Genoa Italy Email guainazzo@dibe.unige.it Carlo S. Regazzoni Signal Processing and Telecommunication Group SP T Biophysical and Electronic Engineering Department University of Genoa 16145 Genoa Italy Email carlo@dibe.unige.it Received 4 September 2003 Revised 8 June 2004 The use of time-frequency distributions is proposed as a nonlinear signal processing technique that is combined with a pattern recognition approach to identity superimposed transmission modes in a reconfigurable wireless terminal based on software-defined radio techniques. In particular a software-defined radio receiver is described aiming at the identification of two coexistent communication modes frequency hopping code division multiple access and direct sequence code division multiple access. As a case study two standards based on the previous modes and operating in the same band industrial scientific and medical are considered IEEE WLAN 802.11b direct sequence and Bluetooth frequency hopping . Neural classifiers are used to obtain identification results. A comparison between two different neural classifiers is made in terms of relative error frequency. Keywords and phrases mode identification software-defined radio frequency hopping code division multiple access direct sequence code division multiple access time-frequency analysis pattern recognition. 1. INTRODUCTION The ideal software radio SR 1 can accommodate all existing bands and modes in a host .