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Related papers: eSampling: Energy Harvesting ADCs

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We study collaborative machine learning systems where a massive dataset is distributed across independent workers which compute their local gradient estimates based on their own datasets. Workers send their estimates through a multipath…

Information Theory · Computer Science 2021-03-22 Busra Tegin , Tolga M. Duman

This paper deals with the task of finding certified lower bounds for the performance of Analog to Digital Converters (ADCs). A general ADC is modeled as a causal, discrete-time dynamical system with outputs taking values in a finite set. We…

Optimization and Control · Mathematics 2012-06-22 Mitra Osqui , Alexandre Megretski , Mardavij Roozbehani

We consider an energy harvesting multiple access channel (MAC) where the transmitters are powered by an exogenous stochastic energy harvesting process and equipped with finite batteries. We characterize the capacity region of this channel…

Information Theory · Computer Science 2016-08-23 Huseyin A. Inan , Dor Shaviv , Ayfer Ozgur

Signal processing in wireless communications, such as precoding, detection, and channel estimation, are basically about solving inverse matrix problems, which, however, are slow and inefficient in conventional digital computers, thus…

Signal Processing · Electrical Eng. & Systems 2022-11-08 Pushen Zuo , Zhong Sun , Ru Huang

This paper investigates an orthogonal frequency division multiplexing (OFDM)-based wireless powered communication system, where one user harvests energy from an energy access point (EAP) to power its information transmission to a data…

Information Theory · Computer Science 2016-11-17 Xun Zhou , Chin Keong Ho , Rui Zhang

Feature extraction, such as spectral occupancy, interferer energy and type, or direction-of-arrival, from wideband radio-frequency~(RF) signals finds use in a growing number of applications as it enhances RF transceivers with cognitive…

Information Theory · Computer Science 2017-09-05 Michaël Pelissier , Christoph Studer

Compressed sensing is now established as an effective method for dimension reduction when the underlying signals are sparse or compressible with respect to some suitable basis or frame. One important, yet under-addressed problem regarding…

Information Theory · Computer Science 2016-04-05 Rayan Saab , Rongrong Wang , Ozgur Yilmaz

This paper presents the new approach in implementation of analog-to-digital converter (ADC) that is based on Hopfield neural-network architecture. Hopfield neural ADC (NADC) is a type of recurrent neural network that is effective in solving…

Emerging Technologies · Computer Science 2018-01-03 Aigerim Tankimanova , Akshay Kumar Maan , Alex Pappachen James

Modern communication receiver architectures center around digital signal processing (DSP), with the bulk of the receiver processing being performed on digital signals obtained after analog-to-digital conversion (ADC). In this paper, we…

Information Theory · Computer Science 2008-04-09 Jaspreet Singh , Onkar Dabeer , Upamanyu Madhow

The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-output (MU-MIMO) base station (BS). Using 1-bit DACs can…

Signal Processing · Electrical Eng. & Systems 2019-06-11 Lei Chu , Fei Wen , Lily Li , Robert Qiu

Recent works propose neural network- (NN-) inspired analog-to-digital converters (NNADCs) and demonstrate their great potentials in many emerging applications. These NNADCs often rely on resistive random-access memory (RRAM) devices to…

Machine Learning · Computer Science 2019-12-02 Weidong Cao , Liu Ke , Ayan Chakrabarti , Xuan Zhang

The burgeoning interest within the space community in digital beamforming is largely attributable to the superior flexibility that satellites with active antenna systems offer for a wide range of applications, notably in communication…

Analog-to-Digital Converters (ADCs) are essential components in modern data acquisition systems. A key design challenge is accommodating high dynamic range (DR) input signals without clipping. Existing solutions, such as oversampling,…

Signal Processing · Electrical Eng. & Systems 2024-12-18 Shaik Basheeruddin Shah , Satish Mulleti , Yonina C. Eldar

Wearable electrocardiograph (ECG) recording and processing systems have been developed to detect cardiac arrhythmia to help prevent heart attacks. Conventional wearable systems, however, suffer from high energy consumption at both circuit…

Signal Processing · Electrical Eng. & Systems 2022-05-27 Jinbo Chen , Fengshi Tian , Jie Yang , Mohamad Sawan

Adaptive Demodulation (ADM) is a newly proposed rate-adaptive system which operates without requiring Channel State Information (CSI) at the transmitter (unlike adaptive modulation) by using adaptive decision region boundaries at the…

Information Theory · Computer Science 2016-11-17 J. David Brown , Jamshid Abouei , Konstantinos N. Plataniotis , Subbarayan Pasupathy

The exponential growth in data generation and large-scale data analysis creates an unprecedented need for inexpensive, low-latency, and high-density information storage. This need has motivated significant research into multi-level memory…

This paper analyzes the communication between two energy harvesting wireless sensor nodes. The nodes use automatic repeat request and forward error correction mechanism for the error control. The random nature of available energy and…

Information Theory · Computer Science 2017-10-26 Animesh Yadav , Mathew Goonewardena , Wessam Ajib , Octavia A. Dobre , Halima Elbiaze

Communication over a broadband fading channel powered by an energy harvesting transmitter is studied. Assuming non-causal knowledge of energy/data arrivals and channel gains, optimal transmission schemes are identified by taking into…

Information Theory · Computer Science 2016-11-15 Oner Orhan , Deniz Gunduz , Elza Erkip

In recent years, high speed and high resolution analog-to-digital converter (ADC) is widely employed in many physical experiments, especially in high precision time and charge measurement. The rapid increasing amount of digitized data…

Signal Processing · Electrical Eng. & Systems 2018-06-14 Guangyuan Yuan , Zhe cao , Shuwen Wang , Shubin Liu , Qi An

Time-domain sampling of arbitrary electric fields with sub-cycle resolution enables a complete time-frequency analysis of a system's response to electromagnetic illumination. This provides access to dynamic information that is not provided…

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