A relatively new area of analog integrated circuits is emerging which is likely to have an impact on the signal processing area --analog floating-gate circuits. Analog floating- gate circuits have the potential to deliver more sophisticated signal processing at less power in a smaller space. This is the result of a novel application of digital memory technology -- the floating-gate MOSFET, that is used as an analog memory and computational device. Critical to the success of analog floating-gate circuits is on-chip programming. After investigating integrated schemes for DC-DC converters to generate the necessary voltages on chip, this research focuses on charge pumps that are integrated into the programming structure of floating-gate circuits. The impact of this research is far reaching since programmability is an indispensable feature of analog floating-gate circuits. This research lays the foundation for meeting the requirement of on-chip programming. Charge pumps will eliminate the need for high voltages to be externally supplied or regulated for analog floating-gate circuits. To the design engineer, the utilization of floating-gate circuits will look identical to their non floating-gate counterparts in terms of the value and number of supply voltages. In addition, the integration of on-chip DC-DC converters will reduce pin count, reduce board space for the implementation of the chip and facilitate distributed on chip power supplies for mixed signal integrated circuits.

Bioelectronics effectively bridges the gap between the biochemical and the electrical domains, integrating aspects of biology, electronics, physics, and material science to foster innovative solutions and impact the trajectory of human health and environmental science, by translating biological responses into electrical signals for advanced analysis. Despite its transformative potential, current bioelectronic systems face limitations in terms of scalability, sensitivity, and ease of integration. This thesis claims that co-designing Complementary Metal-Oxide-Semiconductor (CMOS) integrated circuits with highly specific and sensitive genetically engineered biosensors is pivotal in bioelectronics evolution, offering high accuracy, reliability, miniaturization, and multiplexed sensing capabilities essential for addressing challenges in healthcare, environmental monitoring, sustainable manufacturing, and beyond. To support this claim, this dissertation highlights two key contributions: a low-power ingestible sensor for gastrointestinal tract monitoring and a hybrid platform technology combining droplet microfluidics and CMOS electronics for impedance spectroscopy and luminescence sensing for rapid screening and optimization of biosensors under different environmental conditions. The first contribution details an ingestible capsule that could transform healthcare diagnostics through a novel threshold-crossing-based detector and CMOS-integrated photodiodes. This innovation exemplifies how hybrid bioelectronic systems can significantly improve the precision and non-invasiveness of real-time health monitoring. Moving beyond the traditional scope of bioelectronics and the sole purpose of health monitoring, the second contribution extends its application by integrating droplet microfluidics with CMOS chips, facilitating high-throughput droplet screening to optimize biosensor performance for application deployment. To achieve this goal, this platform is equipped with a low-noise, high-resolution CMOS impedance spectroscopy chip and a high-resolution CMOS luminescence detector chip. In highlighting these contributions, the thesis reinforces the assertion that hybrid bioelectronic systems are key to addressing a wide range of societal challenges. Moreover, the integration of synthetic biology and microfluidics with CMOS technology, as demonstrated in this work, not only overcomes existing barriers, such as achieving miniaturization, high sensitivity, rapid data processing, and energy efficiency, but also paves the way for future innovations with extensive potential in personalized medicine and environmental sustainability. / 2026-01-17T00:00:00Z

High-speed and high-resolution digital-to-analog converters (DACs) are vital components in all telecommunication systems. Radio-frequency digital-to-analog converter (RFDAC) provides high-speed and high-resolution conversion from digital domain to an analog signal. RFDACs can be employed in direct-conversion radio transmitter architectures. The idea of RFDAC is to utilize an oscillatory pulse-amplitude modulation instead of the conventional zero-order hold pulse amplitude modulation, which results in DAC output spectrum to have high energy high-frequency lobe, other than the Nyquist main lobe. The frequency of the oscillatory pulse can be chosen, with respect to the sample frequency, such that the aliasing images of the signal at integer multiples of the sample frequency are landed in the high-energy high-frequency lobes of the DAC frequency response. Therefore the high-frequency images of the signal can be used as the output of the DAC, i.e., no need to the mixing stage for frequency up-conversion after the DAC in the radio transmitter. The mixing stage however is not eliminated but it is rather moved into the DAC elements and therefore the local oscillator (LO) signal with high frequency should be delivered to each individual DAC element. In direct-conversion architecture of IQ modulators which utilize the RFDAC technique, however, there is a problem of finite image rejection. The origin of this problem is the different polarity of the spectral response of the oscillatory pulse-amplitude modulation in I and Q branches. The conditions where this problem can be alleviated in IQ modulator employing RFDACs is also discussed in this work. ΣΔ modulators are used preceding the DAC in the transmitter chain to reduce the digital signal’s number of bits, still maintain the same resolution. By utilizing the ΣΔ modulator now the total number of DAC elements has decreased and therefore the delivery of the high-frequency LO signal to each DAC element is practical. One of the costs of employing ΣΔ modulator, however, is a higher quantization noise power at the output of the DAC. The quantization noise is ideally spectrally shaped to out-of-band frequencies by the ΣΔ modulator. The shaped noise which usually has comparatively high power must be filtered out to fulfill the radio transmission spectral mask requirement. Semi-digital FIR filter can be used in the context of digital-to-analog conversion, cascaded with ΣΔ modulator to filter the out-of-band noise by the modulator. In the same time it converts the signal from digital domain to an analog quantity. In general case, we can have a multi-bit, semi-digital FIR filter where each tap of the filter is realized with a sub-DAC of M bits. The delay elements are also realized with M-bit shift registers. If the output of the modulator is given by a single bit, the semi-digital FIR filter taps are simply controlled by a single switch assuming a current-steering architecture DAC. One of the major advantages is that the static linearity of the DAC is optimum. Since there are only two output levels available in the DAC, the static transfer function, regardless of the mismatch errors, is always given by a straight line. In this work, the design of SDFIR filter is done through an optimization procedure where the ΣΔ noise transfer function is also taken into account. Different constraints are defined for different applications in formulation of the SDFIR optimization problem. For a given radio transmitter application the objective function can be defined as, e.g., the hardware cost for SDFIR implementation while the constraint can be set to fulfill the radio transmitter spectral emission mask.