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We consider a mixed analog-to-digital converter (ADC) based architecture consisting of high-precision and one-bit ADCs with the antenna-varying threshold for direction of arrival (DOA) estimation using a uniform linear array (ULA), which…

Signal Processing · Electrical Eng. & Systems 2024-03-15 Xinnan Zhang , Yuanbo Cheng , Xiaolei Shang , Jun Liu

In railway applications, it is common to use an LC filter connected between the catenary and the input port of the main converter of the auxiliary and traction systems. In addition, in the auxiliary systems, there is a converter operating…

Systems and Control · Electrical Eng. & Systems 2024-01-25 Diego Ochoa , Antonio Lazaro , Pablo Zumel , Cristina Fernandez , Marina Sanz , Jorge Rodriguez , Andres Barrado

This paper presents a mathematical approach for improving the performance of a control system by modifying the time delay at certain operating conditions. This approach converts a continuous time loop into a discrete time loop. The formula…

Systems and Control · Computer Science 2015-03-03 Salem Alkhalaf

Circuit design based on Quantum-dots Cellular Automata technology offers power-efficiency and nano-size circuits. It is an attractive alternative to CMOS technology. The XOR gate is a widely used building element in arithmetic circuits. An…

Emerging Technologies · Computer Science 2024-12-30 Behrouz Safaiezadeh , Majid Haghparast , Lauri Kettunen

We optimize the area and latency of Shor's factoring while simultaneously improving fault tolerance through: (1) balancing the use of ancilla generators, (2) aggressive optimization of error correction, and (3) tuning the core adder…

Quantum Physics · Physics 2009-09-14 Mark G. Whitney , Nemanja Isailovic , Yatish Patel , John Kubiatowicz

Operations typically used in machine learning al-gorithms (e.g. adds and soft max) can be implemented bycompact analog circuits. Analog Application-Specific Integrated Circuit (ASIC) designs that implement these algorithms using techniques…

Neural and Evolutionary Computing · Computer Science 2021-06-24 Shih-Chii Liu , John Paul Strachan , Arindam Basu

This paper presents the designs of asynchronous early output dual-bit full adders without and with redundant logic (implicit) corresponding to homogeneous and heterogeneous delay-insensitive data encoding. For homogeneous delay-insensitive…

Hardware Architecture · Computer Science 2017-04-26 P Balasubramanian , K Prasad

We present a new asynchronous quasi-delay-insensitive (QDI) block carry lookahead adder with redundancy carry (BCLARC) realized using delay-insensitive dual-rail data encoding and 4-phase return-to-zero (RTZ) and 4-phase return-to-one (RTO)…

Hardware Architecture · Computer Science 2019-03-25 P. Balasubramanian , D. L. Maskell , N. E. Mastorakis

Combinational or Classical logic circuits dissipate heat for every bit of information that is lost. Information is lost when the input vector cannot be recovered from its corresponding output vector. Reversible logic circuit implements only…

Hardware Architecture · Computer Science 2010-08-20 Md. Saiful Islam , Muhammad Mahbubur Rahman , Zerina begum , Mohd. Zulfiquar Hafiz

In the literature, actor-critic model predictive control (AC-MPC) integrates MPC with reinforcement learning to enable high-performance control of complex dynamical systems. However, its differentiable MPC layer requires repeatedly solving…

Arithmetic circuits, such as adders and multipliers, are fundamental components of digital systems, directly impacting the performance, power efficiency, and area footprint. However, optimizing these circuits remains challenging due to the…

Hardware Architecture · Computer Science 2025-09-17 Chenhao Xue , Kezhi Li , Jiaxing Zhang , Yi Ren , Zhengyuan Shi , Chen Zhang , Yibo Lin , Lining Zhang , Qiang Xu , Guangyu Sun

Continual learning is crucial for applying machine learning in challenging, dynamic, and often resource-constrained environments. However, catastrophic forgetting - overwriting previously learned knowledge when new information is acquired -…

Machine Learning · Computer Science 2025-05-30 Filip Szatkowski , Yaoyue Zheng , Fei Yang , Bartłomiej Twardowski , Tomasz Trzciński , Joost van de Weijer

Ideally, accelerator development should be as easy as software development. Several recent design languages/tools are working toward this goal, but actually testing early designs on real applications end-to-end remains prohibitively…

Progress in quantum hardware design is progressing toward machines of sufficient size to begin realizing quantum algorithms in disciplines such as encryption and physics. Quantum circuits for addition are crucial to realize many quantum…

Quantum Physics · Physics 2021-06-10 Himanshu Thapliyal , Edgard Muñoz-Coreas , Vladislav Khalus

This paper addresses the numerical optimization of proportional-integral-derivative (PID) controllers for linear time-invariant systems with delays, where the derivative action is implemented using a low-pass filter. While performance…

Systems and Control · Electrical Eng. & Systems 2026-04-20 Diego Torres-García , Wim Michiels

Analog-Based In-Memory Computing (AIMC) inference accelerators can be used to efficiently execute Deep Neural Network (DNN) inference workloads. However, to mitigate accuracy losses, due to circuit and device non-idealities, Hardware-Aware…

Emerging Technologies · Computer Science 2025-01-30 Corey Lammie , Athanasios Vasilopoulos , Julian Büchel , Giacomo Camposampiero , Manuel Le Gallo , Malte Rasch , Abu Sebastian

IEEE 754r is the ongoing revision to the IEEE 754 floating point standard and a major enhancement to the standard is the addition of decimal format. Firstly, this paper proposes novel two transistor AND and OR gates. The proposed AND gate…

Hardware Architecture · Computer Science 2007-05-23 Himanshu Thapliyal , Hamid R. Arabnia , M. B Srinivas

The design of approximate adders has been widely researched to advance energy-efficient hardware for computation-intensive multimedia applications, such as image, audio, or video processing. The design of approximate adders has been widely…

Hardware Architecture · Computer Science 2025-10-24 Hasnain A. Ziad , Ashiq A. Sakib

The paper presents a systematic study and implementation of a reconfigurable combinatorial multi-operand adder for use in Deep Learning systems. The size of carry changes with the number of operands and hence a reliable algorithm to…

Hardware Architecture · Computer Science 2020-08-10 Shilpa Mayannavar , Uday Wali

With the introduction of the Adaptive Intelligence Engine (AIE), the Versal Adaptive Compute Acceleration Platform (Versal ACAP) has garnered great attention. However, the current focus of Vitis Libraries and limited research has mainly…

Hardware Architecture · Computer Science 2024-07-10 W. B. Zhang , Y. Q. Liu , T. H. Zang , Z. S. Bao