National Repository of Grey Literature 8 records found  Search took 0.01 seconds. 
Electronic module for acoustic detection
Maršál, Martin ; Klusáček, Jan (referee) ; Havránek, Zdeněk (advisor)
This diploma thesis deals with the design and implementation of an electronic module for acoustic detection. The module has the task of detecting a predetermined acoustic signals through them learned classification model. The module is used mainly for security purposes. To identify and classify the proposed model using machine learning techniques. Given the possibility of retraining for a different set of sounds, the module becomes a universal sound detector. With acoustic sound using the digital MEMS microphone, for which it is designed and implemented conversion filter. The resulting system is implemented into firmware microcontroller with real time operating system. The various functions of the system are realized with regard to the possible optimization (less powerful MCU or battery power). The module transmits the detection results of the master station via Ethernet network. In the case of multiple modules connected to the network to create a distributed system, which is designed for precise time synchronization using PTP protocol defined by the IEEE-1588 standard.
Indirect vibration analysis using a mobile phone microphone
Plodková, Zuzana ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
The bachelor thesis deals with the possibility of using a recorded signal from a mobile phone for vibration analysis. The first half of the thesis is a research generally dedicated to microphones, microphones in mobile phones and technical diagnostics. The chapter about microphones discusses the principle of their operation, further it analyzes the most important technical parameters and finally divides microphones according to their construction. In case of microphones in mobile phones there is mentioned the most commonly used type of microphone and its structure including a description of possible sound filtration. Possible ways and approaches to processing the measured signal are mention in the chapter abou technical diagnostics. The second part of the thesis is devoted to repeated measurement and subsequent processing of measured values. An evaluation of efficiency of the method of measuring the signal with a mobile phone for vibration analysis by comparison with the results obtained by a professional measuring technique follows.
Audio module on BeagleBone AI
Benko, Karel ; Krajsa, Ondřej (referee) ; Sysel, Petr (advisor)
This thesis deals with the design of a schematics and a printed circuit board expanding the input and output possibilities of the Beaglebone AI development kit for audio signal processing. The introduction is getting acquainted with the Beaglebone AI development kit and the TI Sitara AM5729 processor placed on it. Furthermore, the work acquaints the reader with used communication interfaces I2C and McASP and their principles of operation. Based on the selected parameters, suitable components were selected, and schematics was created, which was then used to design and implement a printed circuit board. The audio module designed in this way was then tested with a development kit.
Pre-Amplifier for MEMS Microphone
Ryšavý, Jindřich ; Honzík, Petr (referee) ; Schimmel, Jiří (advisor)
Thesis discusses the possibility of using MEMS microphones in measuring systems. Describes the characteristics of MEMS components and shows possible realization of analog to digital signal convertor when a microphone with analog output is used. Design of the amplifier is made with respect to low noise and low power consumption. Also is shown the possibility of using antialliasing filter as microphone frequency response correction at the same time.
Audio module on BeagleBone AI
Benko, Karel ; Krajsa, Ondřej (referee) ; Sysel, Petr (advisor)
This thesis deals with the design of a schematics and a printed circuit board expanding the input and output possibilities of the Beaglebone AI development kit for audio signal processing. The introduction is getting acquainted with the Beaglebone AI development kit and the TI Sitara AM5729 processor placed on it. Furthermore, the work acquaints the reader with used communication interfaces I2C and McASP and their principles of operation. Based on the selected parameters, suitable components were selected, and schematics was created, which was then used to design and implement a printed circuit board. The audio module designed in this way was then tested with a development kit.
Indirect vibration analysis using a mobile phone microphone
Plodková, Zuzana ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
The bachelor thesis deals with the possibility of using a recorded signal from a mobile phone for vibration analysis. The first half of the thesis is a research generally dedicated to microphones, microphones in mobile phones and technical diagnostics. The chapter about microphones discusses the principle of their operation, further it analyzes the most important technical parameters and finally divides microphones according to their construction. In case of microphones in mobile phones there is mentioned the most commonly used type of microphone and its structure including a description of possible sound filtration. Possible ways and approaches to processing the measured signal are mention in the chapter abou technical diagnostics. The second part of the thesis is devoted to repeated measurement and subsequent processing of measured values. An evaluation of efficiency of the method of measuring the signal with a mobile phone for vibration analysis by comparison with the results obtained by a professional measuring technique follows.
Pre-Amplifier for MEMS Microphone
Ryšavý, Jindřich ; Honzík, Petr (referee) ; Schimmel, Jiří (advisor)
Thesis discusses the possibility of using MEMS microphones in measuring systems. Describes the characteristics of MEMS components and shows possible realization of analog to digital signal convertor when a microphone with analog output is used. Design of the amplifier is made with respect to low noise and low power consumption. Also is shown the possibility of using antialliasing filter as microphone frequency response correction at the same time.
Electronic module for acoustic detection
Maršál, Martin ; Klusáček, Jan (referee) ; Havránek, Zdeněk (advisor)
This diploma thesis deals with the design and implementation of an electronic module for acoustic detection. The module has the task of detecting a predetermined acoustic signals through them learned classification model. The module is used mainly for security purposes. To identify and classify the proposed model using machine learning techniques. Given the possibility of retraining for a different set of sounds, the module becomes a universal sound detector. With acoustic sound using the digital MEMS microphone, for which it is designed and implemented conversion filter. The resulting system is implemented into firmware microcontroller with real time operating system. The various functions of the system are realized with regard to the possible optimization (less powerful MCU or battery power). The module transmits the detection results of the master station via Ethernet network. In the case of multiple modules connected to the network to create a distributed system, which is designed for precise time synchronization using PTP protocol defined by the IEEE-1588 standard.

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