In this thereby paper, Section 2 describes the system including the hardware architecture and the functional description. Section 3 designs Inhibitors,Modulators,Libraries the system parameters and characterizes the acoustic array sensor for these parameters. Section 4 describes the definition and extraction of acoustic profiles and Section 5 tests these images for biometry applications, defining a metric based on mean square error, and presents the obtained FMR/FNMR parameters and ROC curve. Finally, Section 6 presents our conclusions.2.?Description of the System2.1. Functional DescriptionBased on basic Radar/Sonar principles [17,18], an acoustic sound detection Inhibitors,Modulators,Libraries and ranging system for biometric identification is proposed, according to the block diagram in Figure 3.Figure 3.Block diagram.
The manager controls all subsystems, performing three main tasks: (i) person scanning and detection, (ii) acoustic images acquisition and (iii) person identification based on a database of acoustic images.The following system parameters can be Inhibitors,Modulators,Libraries defined:A scanning area in azimuth: [��min �C ��max]A scanning area in range: [R1 �C R2]A collection of steering angles: ��1, ��2 �� ��MFrequency f and pulse length TFor each steering angle, the system performs the following tasks:TransmissionFor each sensor of the array, a sinusoidal pulse sequence with frequency f, phase ?i and length T is generated.Transmission beamforming for steering angle ��i is done.Sequences are sent to the D/A converter.Signals are amplified and tweeters of the TX array are stimulated.ReceptionSignals from microphones of RX array are preamplified.
The A/D converter samples the preamplified signals.A digital Inhibitors,Modulators,Libraries bandpass filter with central frequency f is implemented.Phase and quadrature components are obtained.Reception beamforming for steering angle ��i is done.Signal envelope is obtained.Signal is filtered with a matched filter.Signal is assembled in a two-dimensional array.After processing M steering angles, there is a two-dimensional array that represents the acoustic image, as it is shown in Anacetrapib Figure 4.Figure 4.Acoustic image.An application that runs, in a distributed way on two processing hardware platforms: PC and DSP, has been developed. The software that runs the PC has been developed in Visual C ++. And the software that runs the DSP has been developed in C++ and uses the ��Malibu�� DSP library from Innovative Integration.
Acquisition, filtering and beamforming are implemented on the DSP, and management, storage of images, biometric algorithms and user interface are implemented on the PC. Figure 5 shows, in light gray, the functions implemented on the DSP and, in dark gray, the functions implemented useful handbook on the PC.Figure 5.Functional distribution.The application software developed has four operation modes: Channel Calibration, Surveillance, Image acquisition and Biometric identification.