417 citations · 737 across the 13 of their papers we have counts for
16 papers
e-G2C: A 0.14-to-8.31 J/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM
Yang Zhao, Yongan Zhang, Yonggan Fu +10
This work presents the first silicon-validated dedicated EGM-to-ECG (G2C) processor, dubbed e-G2C, featuring continuous lightweight anomaly detection, event-driven coarse/precise c…
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms
Yongan Zhang, Anton Banta, Yonggan Fu +6
There exists a gap in terms of the signals provided by pacemakers (i.e., intracardiac electrogram (EGM)) and the signals doctors use (i.e., 12-lead electrocardiogram (ECG)) to diag…
Design Trade-offs for Decentralized Baseband Processing in Massive MU-MIMO Systems
Kaipeng Li, James McNaney, Chance Tarver +4
Massive multi-user (MU) multiple-input multiple-output (MIMO) provides high spectral efficiency by means of spatial multiplexing and fine-grained beamforming. However, conventional…
Design and Implementation of a Neural Network Based Predistorter for Enhanced Mobile Broadband
Chance Tarver, Alexios Balatsoukas-Stimming, Joseph R. Cavallaro
Digital predistortion is the process of correcting for nonlinearities in the analog RF front-end of a wireless transmitter. These nonlinearities contribute to adjacent channel leak…
Decentralized Coordinate-Descent Data Detection and Precoding for Massive MU-MIMO
Kaipeng Li, Oscar Castaneda, Charles Jeon +2
Massive multiuser (MU) multiple-input multiple-output (MIMO) promises significant improvements in spectral efficiency compared to small-scale MIMO. Typical massive MU-MIMO base-sta…
Decentralized Equalization with Feedforward Architectures for Massive MU-MIMO
Charles Jeon, Kaipeng Li, Joseph R. Cavallaro +1
Linear data-detection algorithms that build on zero forcing (ZF) or linear minimum mean-square error (L-MMSE) equalization achieve near-optimal spectral efficiency in massive multi…
Feedforward Architectures for Decentralized Precoding in Massive MU-MIMO Systems
Kaipeng Li, Charles Jeon, Joseph R. Cavallaro +1
Massive multi-user multiple-input multiple-output (MU-MIMO) enables significant gains in spectral efficiency and link reliability compared to conventional small-scale MIMO technolo…
On the Achievable Rates of Decentralized Equalization in Massive MU-MIMO Systems
Charles Jeon, Kaipeng Li, Joseph R. Cavallaro +1
Massive multi-user (MU) multiple-input multiple-output (MIMO) promises significant gains in spectral efficiency compared to traditional, small-scale MIMO technology. Linear equaliz…
Decentralized Baseband Processing for Massive MU-MIMO Systems
Kaipeng Li, Rishi Sharan, Yujun Chen +3
Achieving high spectral efficiency in realistic massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems requires computationally-complex algorithms for data…
Parallel Digital Predistortion Design on Mobile GPU and Embedded Multicore CPU for Mobile Transmitters
Kaipeng Li, Amanullah Ghazi, Chance Tarver +6
Digital predistortion (DPD) is a widely adopted baseband processing technique in current radio transmitters. While DPD can effectively suppress unwanted spurious spectrum emissions…
High-Throughput Data Detection for Massive MU-MIMO-OFDM using Coordinate Descent
Michael Wu, Chris Dick, Joseph R. Cavallaro +1
Data detection in massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems is among the most critical tasks due to the excessively high implementation complex…
Low-Complexity Sub-band Digital Predistortion for Spurious Emission Suppression in Noncontiguous Spectrum Access
Mahmoud Abdelaziz, Lauri Anttila, Chance Tarver +3
Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Du…
Conjugate Gradient-based Soft-Output Detection and Precoding in Massive MIMO Systems
Bei Yin, Michael Wu, Joseph R. Cavallaro +1
Massive multiple-input multiple-output (MIMO) promises improved spectral efficiency, coverage, and range, compared to conventional (small-scale) MIMO wireless systems. Unfortunatel…
Parallel Interleaver Design for a High Throughput HSPA+/LTE Multi-Standard Turbo Decoder
Guohui Wang, Hao Shen, Yang Sun +3
To meet the evolving data rate requirements of emerging wireless communication technologies, many parallel architectures have been proposed to implement high throughput turbo decod…
Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations
Michael Wu, Bei Yin, Guohui Wang +3
Large-scale (or massive) multiple-input multiple-output (MIMO) is expected to be one of the key technologies in next-generation multi-user cellular systems, based on the upcoming 3…
Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing
Guohui Wang, Yingen Xiong, Jay Yun +1
In this paper, we present an OpenCL-based heterogeneous implementation of a computer vision algorithm -- image inpainting-based object removal algorithm -- on mobile devices. To ta…