Title :
Neural switched capacitor low-pass filter for wearable human detection and microwave generation
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
The chipset of the maximum neural network based on the switched capacitor technique is proposed. The design of analog neural nonlinear programming solvers using switched-capacitor (SC) integrated circuit techniques. By using bilinear transformation to elliptic low pass ladder filter, a switched capacitor (SC) filter is presented for noncontact detection and microwave generation application of cascaded Brillouin oscillation to microwave frequency synthesis at a level comparable to mid-range commercial, all-electrical synthesizers. The proposed SC filter is fabricated with TSMC 0.18 μm CMOS process.
Keywords :
CMOS integrated circuits; capacitors; low-pass filters; microwave generation; neural nets; nonlinear programming; CMOS process; SC filter; analog neural nonlinear programming; bilinear transformation; cascaded Brillouin oscillation; electrical synthesizers; elliptic low pass ladder filter; integrated circuit techniques; maximum neural network; microwave frequency synthesis; microwave generation; microwave generation application; neural switched capacitor low pass filter; switched capacitor; wearable human detection; ladder filter; microwave generation; switching capacitor; wearable human detection;
Conference_Titel :
Optical Communications and Networks (ICOCN), 2015 14th International Conference on
Conference_Location :
Nanjing
DOI :
10.1109/ICOCN.2015.7203709
