A rhythm algorithm, recently published in JASA 129(3), 2011, was developed to analyze periodic broadband signals. This algorithm was applied in human and animal footsteps studies for signals from a node of orthogonal sensors and for underwater studies of sperm whale clicks measured using hydrophones. Some new applications of this rhythm algorithm are presented and discussed. The rhythm algorithm was applied to signals from breaking waves on a lake shore. The signals were recorded by a node of two orthogonal sensors on the lake shore consisting of a narrow-band ultrasonic microphone and a Doppler sonar unit. The narrow-band ultrasonic microphone showed detectable levels of ultrasonic signals for breaking waves while the Doppler sonar showed the maximum velocity of the waves. Signals from this node were recorded and processed simultaneously using the rhythm algorithm. The rhythm algorithm was applied to musical periodic sound, enabling detection of the music rhythms and temporal variations of these rhythms using the Short Term Fourier Transform.