2021
DOI: 10.3390/electronics10050563
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1.0 V-0.18 µm CMOS Tunable Low Pass Filters with 73 dB DR for On-Chip Sensing Acquisition Systems

Abstract: This paper presents a new approach based on the use of a Current Steering (CS) technique for the design of fully integrated Gm–C Low Pass Filters (LPF) with sub-Hz to kHz tunable cut-off frequencies and an enhanced power-area-dynamic range trade-off. The proposed approach has been experimentally validated by two different first-order single-ended LPFs designed in a 0.18 µm CMOS technology powered by a 1.0 V single supply: a folded-OTA based LPF and a mirrored-OTA based LPF. The first one exhibits a constant po… Show more

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Cited by 8 publications
(2 citation statements)
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“…TKF240 is selected as the acquisition module of the surveillance camera to complete the functions of the control exposure, image gain, and white balance of the complex pipeline video [ 14 , 15 ]. The functional block diagram of the TKF240 acquisition sensor is shown in Figure 4 .…”
Section: Cad Surface Generation Algorithm Of the Complex Pipeline Modelmentioning
confidence: 99%
“…TKF240 is selected as the acquisition module of the surveillance camera to complete the functions of the control exposure, image gain, and white balance of the complex pipeline video [ 14 , 15 ]. The functional block diagram of the TKF240 acquisition sensor is shown in Figure 4 .…”
Section: Cad Surface Generation Algorithm Of the Complex Pipeline Modelmentioning
confidence: 99%
“…The phase angle, and therefore the reactive component of the bioimpedance in this frequency band, provides valuable information, for instance, on the state of the plasma membrane (cell membrane), which is in turn a good indicator of cellular health. Once the Z UT is properly excited, the corresponding voltage drop that is generated can be measured by means of an instrumentation amplifier (IA) , whereas signal conditioning [41,43] may be subsequently required prior to signal processing. Taking into account the characteristics of the measurement procedure described above, the features of the IA can be determined.…”
Section: Introductionmentioning
confidence: 99%