Publications related to Lower Bound on the Mean-Squared Error in Oversampled Quantization of Periodic Signals Using Vector Quantization Analysis

Quantization for Decentralized Learning Under Subspace Constraints

Ali H. Sayed, Stefan Vlaski, Roula Nassif, Marco Carpentiero

In this article, we consider decentralized optimization problems where agents have individual cost functions to minimize subject to subspace constraints that require the minimizers across the network to lie in low-dimensional subspaces. This constrained fo ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Unlabeled Sensing of Multi-Input FRI Signals

Taulant Koka

Shannon's sampling theorem for bandlimited signals, formulated in 1949, has become a cornerstone for modern digital communications and signal processing. The importance of sampling and reconstruction of analog signals has led to great advances in the field ...

2022

Finite Bit Quantization For Decentralized Learning Under Subspace Constraints

Ali H. Sayed, Stefan Vlaski, Roula Nassif, Marco Carpentiero

In this paper, we consider decentralized optimization problems where agents have individual cost functions to minimize subject to subspace constraints that require the minimizers across the network to lie in low-dimensional subspaces. This constrained form ...

IEEE2022

Unlabeled Sensing with Random Linear Measurements

Martin Vetterli, Jayakrishnan Unnikrishnan, Saeid Haghighatshoar

We study the problem of solving a linear sensing system when the observations are unlabeled. Specifically we seek a solution to a linear system of equations y = Ax when the order of the observations in the vector y is unknown. Focusing on the setting in wh ...

Institute of Electrical and Electronics Engineers2018

A Cryogenic 1 GSa/s, Soft-Core FPGA ADC for Quantum Computing Applications

Edoardo Charbon, Harald Arjan Robert Homulle

We propose an analog-to-digital converter (ADC) architecture, implemented in an FPGA, that is fully reconfigurable and easy to calibrate. This approach allows to alter the design, according to the system requirements, with simple modifications in the firmw ...

2016

Bits from Photons

Feng Yang

The trends in the design of image sensors are to build sensors with low noise, high sensitivity, high dynamic range, and small pixel size. How can we benefit from pixels with small size and high sensitivity? In this dissertation, we study a new image senso ...

EPFL2012

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

Thomas Liechti

This thesis describes a novel digital background calibration scheme for pipelined ADCs with nonlinear interstage gain. Errors caused by the nonlinear gains are corrected in real-time by adaptively post-processing the digital stage outputs. The goal of this ...

EPFL2012

A 14b extended counting ADC implemented in a 24Mpixel APS-C CMOS image sensor

Kyojin Choo

The demand for high-quality and high-speed imaging has increased. Column-parallel ≥14b A/D conversion is one of the major approaches to meet these requirements in CMOS image sensors (CIS). Oversampling ADCs such as incremental delta-sigma (I-ΔΣ) ADCs are t ...

IEEE2012

Random Sampling ADC for Sparse Spectrum Sensing

Andreas Peter Burg

Scanning large bandwidths (spectrum sensing) pushes today’s analog hardware to its limits since periodic sampling at Nyquist rate with sufficient resolution is often prohibitively complex. In this paper, we consider a scenario where the signal to be acquir ...

2011

Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

Seyed Armin Tajalli, Yusuf Leblebici

A current-mode

\Delta\Sigma

analog-to-digital data converter (ADC) for biomedical readout front-end systems is being presented. The core of this circuit is a current-controlled ring oscillator (CCO) whose oscillation frequency is proportional to the inpu ...

2010

Lower Bound on the Mean-Squared Error in Oversampled Quantization of Periodic Signals Using Vector Quantization Analysis

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Quantization for Decentralized Learning Under Subspace Constraints

Unlabeled Sensing of Multi-Input FRI Signals

Finite Bit Quantization For Decentralized Learning Under Subspace Constraints

Unlabeled Sensing with Random Linear Measurements

A Cryogenic 1 GSa/s, Soft-Core FPGA ADC for Quantum Computing Applications

Bits from Photons

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

A 14b extended counting ADC implemented in a 24Mpixel APS-C CMOS image sensor

Random Sampling ADC for Sparse Spectrum Sensing

Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

Unlabeled Sensing with Random Linear Measurements

Quantization for Decentralized Learning Under Subspace Constraints

Finite Bit Quantization For Decentralized Learning Under Subspace Constraints

Unlabeled Sensing of Multi-Input FRI Signals

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

Bits from Photons

A 14b extended counting ADC implemented in a 24Mpixel APS-C CMOS image sensor

Random Sampling ADC for Sparse Spectrum Sensing

Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

A Cryogenic 1 GSa/s, Soft-Core FPGA ADC for Quantum Computing Applications