Taking compressive sensing to the hardware level: Breaking fundamental radio-frequency hardware performance tradeoffs
RT Yazicigil, T Haque, PR Kinget… - IEEE Signal Processing …, 2019 - ieeexplore.ieee.org
Compressive sensing (CS) theory opens promising avenues toward building rapid and
energy-efficient sensing systems in a wide range of applications that require inherently high …
energy-efficient sensing systems in a wide range of applications that require inherently high …
Non-uniform wavelet bandpass sampling Analog-to-Information Converter: a hardware implementation and its experimental assessment
The paper presents the experimental assessment of an architecture of Analog-to-Information
Converter (AIC), based on Non-Uniform Wavelet Bandpass Sampling (NUWBS), for use in …
Converter (AIC), based on Non-Uniform Wavelet Bandpass Sampling (NUWBS), for use in …
Resource-Efficient invariant networks: Exponential gains by unrolled optimization
Achieving invariance to nuisance transformations is a fundamental challenge in the
construction of robust and reliable vision systems. Existing approaches to invariance scale …
construction of robust and reliable vision systems. Existing approaches to invariance scale …
Cascaded Compensation of Filter Phase Imperfections in Random Demodulation
C Bian, J Zhang, L Li, L Qiao - 2023 IEEE 16th International …, 2023 - ieeexplore.ieee.org
Analog-to-information converter (AIC) is an architecture that implements the compressive
sensing (CS) theory and it is capable to generate compressed and digitized output directly …
sensing (CS) theory and it is capable to generate compressed and digitized output directly …
[图书][B] Deep Networks Through the Lens of Low-Dimensional Structure: Towards Mathematical and Computational Principles for Nonlinear Data
S Buchanan - 2022 - search.proquest.com
Across scientific and engineering disciplines, the algorithmic pipeline forprocessing and
understanding data increasingly revolves around deep learning, a data-drivenapproach to …
understanding data increasingly revolves around deep learning, a data-drivenapproach to …
[图书][B] A Flexible RFIC Architecture for High-Sensitivity Reception and Compressed-Sampling Wideband Detection
T Haque - 2019 - search.proquest.com
Compressed sensing (CS) is a new signal processing approach that has disrupted the
Shannon-Nyquist limit based design methodology and has opened promising avenues for …
Shannon-Nyquist limit based design methodology and has opened promising avenues for …
[PDF][PDF] Taking Compressive Sensing to the Hardware Level: How Compressive Sensing Breaks Fundamental RF Hardware Performance Tradeoffs
Compressive sensing (CS) theory opens promising avenues towards building rapid and
energyefficient sensing systems in a wide range of applications that inherently require high …
energyefficient sensing systems in a wide range of applications that inherently require high …