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A modified version of MUSIC, denoted as Time-Reversal MUSIC (TR-MUSIC) has been recently applied to computational time-reversal imaging. [ 11 ] [ 12 ] MUSIC algorithm has also been implemented for fast detection of the DTMF frequencies ( Dual-tone multi-frequency signaling ) in the form of C library - libmusic [ 13 ] (including for MATLAB ...
In signal processing, direction of arrival (DOA) denotes the direction from which usually a propagating wave arrives at a point, where usually a set of sensors are located. These set of sensors forms what is called a sensor array. Often there is the associated technique of beamforming which is estimating the signal from a given direction.
Smart antennas (also known as adaptive array antennas, digital antenna arrays, multiple antennas and, recently, MIMO) are antenna arrays with smart signal processing algorithms used to identify spatial signal signatures such as the direction of arrival (DOA) of the signal, and use them to calculate beamforming vectors which are used to track and locate the antenna beam on the mobile/target.
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This section only includes software, not services. For services programs like Spotify, Pandora, Prime Music, etc. see Comparison of on-demand streaming music services. Likewise, list includes music RSS apps, widgets and software, but for a list of actual feeds, see Comparison of feed aggregators.
Music, formerly known as Walkman, is an audio player software for Android. Developed by Sony Corporation (and previously by Sony Mobile), it is the default music player on Xperia devices and comes preloaded on them. A similar Walkman app continues to exist on Walkman digital audio players, including those that run on Android.
Audacious is intended to be a standalone media player not a server (unlike XMMS2), though it accepts connections from client software, such as Conky. Connection to Audacious for remote control can be done over plain DBus , by using an MPRIS-compatible client, or using the official Audtool utility created just for this purpose.
In statistical signal processing, the goal of spectral density estimation (SDE) or simply spectral estimation is to estimate the spectral density (also known as the power spectral density) of a signal from a sequence of time samples of the signal. [1] Intuitively speaking, the spectral density characterizes the frequency content of the signal.