Current　algorithms　don＇t　cover　the　multiple　Morse　signals　detection　in　broadband　environment.　To　solve　this　problem,　an　algorithm　based　on　broadband　time-frequency　diagram　and　ensemble　learning　classifier　was　proposed.　Firstly,　a　fast　narrow　band　signal　filtering　method　based　on　broadband　time-frequency　diagram　was　proposed　to　realize　the　fast　filtering　of　narrowband　time-frequency　signals　of　various　types　of　signals　in　the　noise　background.　Then,　in　order　to　identify　the　Morse　signals,　a　new　feature　vector　was　proposed　which　was　combined　with　three　new　features　and　local　binary　pattern　(LBP).　Finally　the　ensemble　learning　algorithm　was　used　to　design　the　classifier　to　realize　the　automatic　detection　of　Morse　signals.　The　experimental　results　show　that　the　correctness　of　the　algorithm　is　above　95%　and　the　error　rate　is　below　10%,　which　has　good　robustness　and　application　value.　©　2017,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.