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Topological analog signal processing [PDF]
Nature Communications, 2019 Analog signal processors could potentially offer faster operation and lower power consumption than digital versions, but are not yet commonly used for large scale applications due to considerable observational errors.
Farzad Zangeneh-Nejad, Romain Fleury
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Nonlinear analog processing with anisotropic nonlinear films [PDF]
NanophotonicsDigital signal processing is the cornerstone of several modern-day technologies, yet in multiple applications it faces critical bottlenecks related to memory and speed constraints.
Cotrufo Michele +6 more
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Photonic edge intelligence chip for multi-modal sensing, inference and learning [PDF]
Nature CommunicationsEdge computing requires real-time processing of high-throughput analog signals, posing a major challenge to conventional electronics. Although integrated photonics offers low-latency processing, it struggles to directly handle raw analog data.
Shiji Zhang +8 more
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Low-Power Analog Processing for Sensing Applications: Low-Frequency Harmonic Signal Classification [PDF]
Sensors, 2013 A low-power analog sensor front-end is described that reduces the energy required to extract environmental sensing spectral features without using Fast Fouri´er Transform (FFT) or wavelet transforms. An Analog Harmonic Transform (AHT) allows selection of
Sina Balkir +3 more
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Sensors, 2021 This work considers the design and practical implementation of JSCC-Cast, a comprehensive analog video encoding and transmission system requiring a reduced amount of digital metadata.
Jose Balsa +4 more
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Design of multi-channel analog acquisition system based on DSP + FPGA architecture [PDF]
MATEC Web of Conferences, 2021 This paper proposes a design and implementation of a general multi-channel analog acquisition system based on DSP + FPGA architecture. In terms of hardware architecture, FPGA is used to achieve high-speed and high reliability switching between different ...
Zhang Yi +4 more
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Analog Signal Processing Using Stochastic Magnets
IEEE Access, 2021 We present a low energy-barrier magnet based compact hardware unit for analog stochastic neurons (ASNs) and demonstrate its use as a building-block for neuromorphic hardware.
Samiran Ganguly +2 more
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Analog Convolutional Operator Circuit for Low-Power Mixed-Signal CNN Processing Chip
Sensors, 2023 In this paper, we propose a compact and low-power mixed-signal approach to implementing convolutional operators that are often responsible for most of the chip area and power consumption of Convolutional Neural Network (CNN) processing chips.
Malik Summair Asghar +2 more
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Single-layer spatial analog meta-processor for imaging processing
Nature Communications, 2022 Here, the authors propose a Fourier-based metaprocessor to impart customized highly flexible transfer functions for analog computing. Differentiation and cross-correlation are performed to substantiate the ultracompact and high-throughput kernel ...
Zhuochao Wang +10 more
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Direct Signal Encoding With Analog Resonate-and-Fire Neurons
IEEE Access, 2023 Sensors are an essential element in a wide range of applications. As the number of sensors increases, so does the amount of data collected with them. This raises the challenge of efficiently processing this data. Spiking Neural Networks (SNNs) represents
Hendrik M. Lehmann +3 more
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