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Yayın Time-domain high speed ADC circuits(Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2025-06-30) Mohamed, Moaamen Magdy Abdelrazek; Köprü, Ramazan; Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Elektrik-Elektronik Mühendisliği Yüksek Lisans Programı; Işık University, School of Graduate Studies, Electric-Electronics Engineering M.S. ProgramThis thesis delivers the design, simulation, and performance analysis of two high-resolution Time-to-Digital Converters (TDCs), both achieved by means of the Vernier Delay Line (VDL) principle and in 100 nm CMOS technology. Two different architectural strategies designed for diverse signal control and edge detection needs are presented, targeting sub-nanosecond time resolution and GHz-range applications compatibility. The first architecture uses two voltage-to-time converters (VTCs) for generating accurate START and STOP signals from the ramp nature of the inputs. These are processed by a Vernier Delay Line with overlapped buffers and overlap-sensitive 5-transistor TSPC flip-flops, spotting the accurate coincidence point of signals. This resultant thermometer code is then encoded by a MUXbased Gray code encoder and a resistor-ladder digital-to-analog converter (DAC) in order to reconstruct the analog signal. This combination is set up for fine timing resolution and high precision. The design in the second option simplifies the signal generation block by employing a single VTC together with a periodic pulse (Vpulse) generator for producing the START and STOP signals. In this design, edge-triggered flipflops are incorporated in the delay line for detecting rising edges, allowing for improved and more consistent timing in high-frequency applications. The output is encoded by way of a binary encoder with a tree structure and then passed into the same DAC employed in the first design. This system is designed for highspeed operation and simplicity of architecture. Both designs were simulated in the Cadence Virtuoso environment and examined in MATLAB with respect to critical performance characteristics like resolution, differential non-linearity (DNL), conversion time, and power consumption. They both prove to yield consistent, CMOS-compatible solutions for accurate time interval quantization in applications up to the GHz level, with flexibility for applications with diverse signal control schemes.Yayın Electrical circuit design based on neural networks(Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2026-01-23) Abou Allil, Feras; Köprü, Ramazan; Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Elektrik-Elektronik Mühendisliği Yüksek Lisans Programı; Işık University, School of Graduate Studies, Electric-Electronics Engineering M.S. ProgramArtificial Neural Networks (ANNs) have gained significant attention due to their fast and accurate performance estimation capabilities, particularly in applications requiring strong learning and generalization. In this thesis, a comprehensive study is presented on the use of neural networks for the design and analysis of analog electronic circuits, focusing on both passive and active filter topologies. A feedforward neural network architecture is employed to reduce unwanted noise in measurement signals and to accurately infer component values from frequency response characteristics. For each circuit type, a dedicated neural network is trained to learn the relationship between circuit parameters and their corresponding magnitude responses. The study includes a variety of analog filters—such as low-pass and band-pass filters—implemented using passive elements as well as active devices including operational amplifiers and operational transconductance amplifiers (OTAs). Two training methodologies are introduced and evaluated: Element Spreading Training (EST) and Element Randomization Training (ERT). These approaches enhance dataset diversity and improve the neural network’s ability to generalize across a wider range of circuit behaviors, resulting in more reliable and robust predictions. The overall framework demonstrates the potential of integrating neural networks into classical analog circuit design, offering insights into performance, advantages, and limitations. All analyses and simulations are conducted and validated using MATLAB. The proposed methods have been tested under different frequency ranges and component tolerances.
