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13 Results Found

  • Article
  • Open Access
21 Citations
12,323 Views
19 Pages

Low-Power Pass-Transistor Logic-Based Full Adder and 8-Bit Multiplier

  • Ningyuan Yin,
  • Wanyuan Pan,
  • Yihe Yu,
  • Chengcheng Tang and
  • Zhiyi Yu

With the rapid development of information technology, the demand for high-speed and low-power technology for digital signal processing is increasing. Full adders and multipliers are the basic components of signal processing technology. Pass-transisto...

(This article belongs to the Special Issue CMOS Integrated Circuits Design)
  • Article
  • Open Access
7 Citations
4,815 Views
27 Pages

Linear Computation Coding: A Framework for Joint Quantization and Computing

  • Ralf Reiner Müller,
  • Bernhard Martin Wilhelm Gäde and
  • Ali Bereyhi

20 July 2022

Here we introduce the new concept of computation coding. Similar to how rate-distortion theory is concerned with the lossy compression of data, computation coding deals with the lossy computation of functions. Particularizing to linear functions, we...

(This article belongs to the Section Algorithms for Multidisciplinary Applications)
  • Feature Paper
  • Article
  • Open Access
1 Citations
2,750 Views
23 Pages

A Novel Low-Power High-Precision Implementation for Sign–Magnitude DLMS Adaptive Filters

  • Gennaro Di Meo,
  • Davide De Caro,
  • Nicola Petra and
  • Antonio G. M. Strollo

This paper investigates the use of approximate fixed-width and static segment multipliers in the design of Delayed Least Mean Square (DLMS) adaptive filters based on the sign–magnitude representation for the error signal. The fixed-width approx...

(This article belongs to the Special Issue Feature Papers in Circuit and Signal Processing)
  • Article
  • Open Access
405 Views
19 Pages

This paper presents a digitally controlled current-mode synaptic weighting cell in 28 nm FD-SOI CMOS for low-complexity Multi-Layer Perceptron (MLP) inference in event-based Non-Intrusive Load Monitoring (NILM). A compact bias-free [16,16] MLP is tra...

(This article belongs to the Section Circuit and Signal Processing)
  • Article
  • Open Access
163 Views
22 Pages

An Efficient Binary-Field ECC Hardware Design for an SM2-Style Digital Signature Flow

  • Cuiping Shao,
  • Wenzhe Li,
  • Zhenpeng Liu,
  • Huiyun Li and
  • Zhimin Tang

29 September 2026

We present a binary-field ECC hardware benchmark for an SM2-style signing flow, rather than a standard-compliant implementation of the 256-bit prime-field SM2 parameters. The design uses the NIST K-233 curve over GF(2233), a Karatsuba multiplier, and...

(This article belongs to the Section Computer Science & Engineering)
  • Article
  • Open Access
338 Views
20 Pages

Orthogonal frequency division multiplexing (OFDM) is widely used in broadband wireless communication systems because of its high spectral efficiency, flexible subcarrier allocation, and robustness against frequency-selective fading. However, the high...

  • Proceeding Paper
  • Open Access
2 Citations
2,780 Views
4 Pages

Nowadays, floating point multiplier (FPM) plays an essential role in computers. The IEEE 754 norm for floating point numbers is the most widely recognized portrayal for real numbers on today’s PCs. Addition, multiplication, subtraction, and div...

(This article belongs to the Proceedings of The 1st International Conference on Energy, Power and Environment)
  • Article
  • Open Access
10 Citations
12,744 Views
10 Pages

Design and Implementation of Sigma-Delta ADC Filter

  • Renzhuo Wan,
  • Yuandong Li,
  • Chengde Tian,
  • Fan Yang,
  • Wendi Deng,
  • Siyu Tang,
  • Jun Wang and
  • Wei Zhang

19 December 2022

This paper presents a digital decimation filter based on a third-order four-bit Sigma-Delta modulator. The digital decimation filter is an important part of the Sigma-Delta ADC and is designed to make the Sigma-Delta ADC (Analog-to-Digital Converter)...

(This article belongs to the Special Issue Recent Advances in Microelectronics Devices and Integrated Circuit)
  • Article
  • Open Access
609 Views
13 Pages

TR-ABFT: Tile-Resilient Fault Detection for Neural Processing Units

  • Yang Hua,
  • Yunhong Bai,
  • Bo Wang,
  • Wei Zhuang and
  • Yuanfu Zhao

Spaceborne neural processing units (NPUs) increasingly support real-time deep-learning inference, but their dense multiply-accumulate arrays are vulnerable to radiation-induced soft errors. Conventional radiation-hardening methods improve reliability...

(This article belongs to the Special Issue Artificial Intelligence and Microsystems)
  • Article
  • Open Access
14 Citations
3,297 Views
24 Pages

18 April 2022

Elliptic curve cryptography (ECC) is one of the commonly used standard methods for encrypting and signing messages which is especially applicable to resource-constrained devices such as sensor nodes that are networked in the Internet of Things. The s...

(This article belongs to the Section Sensor Networks)
  • Article
  • Open Access
563 Views
25 Pages

30 April 2026

This paper presents the Spike Processing Unit (SPU), a digital spiking neuron model based on a discrete-time second-order Infinite Impulse Response (IIR) filter. By constraining filter coefficients to powers of two, the SPU implements all internal op...

(This article belongs to the Special Issue Neuromorphic Chips at the Intersection of Neuroscience, Electronics and AI)
  • Article
  • Open Access
936 Views
25 Pages

SSKD: Stepwise Self-Knowledge Distillation for Binary Neural Networks in Keyword Spotting

  • Hailong Zou,
  • Jionghao Zhang,
  • Jun Li,
  • Hang Ran,
  • Wulve Yang,
  • Rui Zhou,
  • Zenghui Yu,
  • Yi Zhan and
  • Shushan Qiao

18 February 2026

The hardware power-aware keyword spotting (KWS) implementation requires small memory footprint, low-complex computation, and high accuracy performances. Binary neural networks (BNNs) naturally satisfy these constraints. They quantize both weights and...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
10 Citations
5,505 Views
19 Pages

An Approximate GEMM Unit for Energy-Efficient Object Detection

  • Ratko Pilipović,
  • Vladimir Risojević,
  • Janko Božič,
  • Patricio Bulić and
  • Uroš Lotrič

18 June 2021

Edge computing brings artificial intelligence algorithms and graphics processing units closer to data sources, making autonomy and energy-efficient processing vital for their design. Approximate computing has emerged as a popular strategy for energy-...

(This article belongs to the Special Issue Ubiquitous Sensing and Intelligent Systems)