Abstract Audio sources classification is an important task for which we propose an algorithm based on content of the source. Our approach is based on three primary models that depends on music discrimination, average frame power and Hz energy modulation. We found that these models are effective in various levels. To evaluate we did testing based many musical pieces where accuracy... Audio sources classification is an important task for which we propose an algorithm based on content of the source. Our approach is based on three primary models that depends on music discrimination, average frame power and Hz energy modulation. We found that these models are effective in various levels. To evaluate we did testing based many musical pieces where accuracy and time consumption are assessed. We have provided a complete audio classification system which has been proved with the statistical testing where the switching is possible. Future directions of research is also indicated in the study. Read More Read Less

Abstract With the help of two integrator loop configuration the effects of OTA imperfections in the second order Gm-C filters is studied. We assume the single stage CMOS OTA in the investigations and the most important OTA imperfections in this case are their input resistance and input capacitances. We found that the several considered circuits have similar properties concerning these imperfections... With the help of two integrator loop configuration the effects of OTA imperfections in the second order Gm-C filters is studied. We assume the single stage CMOS OTA in the investigations and the most important OTA imperfections in this case are their input resistance and input capacitances. We found that the several considered circuits have similar properties concerning these imperfections and it is shown that the gyrator biquad has the best behaviour. Read More Read Less

Abstract In the current work, we have formulated a controlled buck convertor based on integrated Pulse-Width Modulation (PWM) and Pulse-Frequency Modulation (PFM). This is developed for wearable electronic devices. The input voltage is equal to 3.6V and the average value of the output voltage is regulated to be 1.7V. The maximum efficiency h of the buck converter is 81.43%, when the... In the current work, we have formulated a controlled buck convertor based on integrated Pulse-Width Modulation (PWM) and Pulse-Frequency Modulation (PFM). This is developed for wearable electronic devices. The input voltage is equal to 3.6V and the average value of the output voltage is regulated to be 1.7V. The maximum efficiency h of the buck converter is 81.43%, when the load current ILoad is equal to 68mA. When ILoad is smaller than 8mA the efficiency of the PFM controlled buck converter is around 7% higher compared to the efficiency of the PWM controlled buck converter. Read More Read Less