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20212026
most citedDesign and Analysis of Hardware-limited Non-uniform Task-based Quantizers

17 citations · 52 across the 13 of their papers we have counts for

collaborators

13 papers

eess.SP2026

Fundamental Limits of 1-bit ISAC Systems: Capacity Region and Optimal Power Control

Emmanuel Trinidad, Neil Irwin Bernardo

This paper investigates the fundamental limits of integrated sensing and communication (ISAC) systems with 1-bit receiver quantization. We analyze a Gaussian fading ISAC channel wi…

eess.SP2026

Timing Recovery and Sequence Detection for Integrate-and-Fire Time Encoding Receivers

Neil Irwin Bernardo

Recent advances in neuromorphic signal processing have introduced time encoding machines as a promising alternative to conventional uniform sampling for low-power communication rec…

eess.SP2025

Symbol Detection Using an Integrate-and-Fire Time Encoding Receiver

Neil Irwin Bernardo

Event-driven sampling is a promising alternative to uniform sampling methods, particularly for systems constrained by power and hardware cost. A notable example of this sampling ap…

eess.SP2025

Modulo Sampling: Performance Guarantees in The Presence of Quantization

Neil Irwin Bernardo, Shaik Basheeruddin Shah, Yonina C. Eldar

In this paper, we investigate the relationship between the dynamic range and quantization noise power in modulo analog-to-digital converters (ADCs). Two modulo ADC systems are cons…

eess.SP2024

Short-time Fourier Transform-based Signal Recovery for Modulo Analog-to-Digital Converters

Neil Irwin Bernardo

This study introduces a short-time Fourier transform-based method for reconstructing signals encoded using modulo analog-to-digital converters with 1-bit folding information. In co…

cs.IT2024

Non-Linear Analog Processing Gains in Task-Based Quantization

Marian Temprana Alonso, Farhad Shirani, Neil Irwin Bernardo +1

In task-based quantization, a multivariate analog signal is transformed into a digital signal using a limited number of low-resolution analog-to-digital converters (ADCs). This pro…

cs.IT2023

Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime

Neil Irwin Bernardo, Jingge Zhu, Jamie Evans

This paper examines the maximum code rate achievable by a data-driven communication system over some unknown discrete memoryless channel in the finite blocklength regime. A class o…

eess.SP2022★ 17 cited

Design and Analysis of Hardware-limited Non-uniform Task-based Quantizers

Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar +1

Hardware-limited task-based quantization is a new design paradigm for data acquisition systems equipped with serial scalar analog-to-digital converters using a small number of bits…

cs.IT2022

On the Capacity-Achieving Input of the Gaussian Channel with Polar Quantization

Neil Irwin Bernardo, Jingge Zhu, Jamie Evans

The polar receiver architecture is a receiver design that captures the envelope and phase information of the signal rather than its in-phase and quadrature components. Several stud…

cs.IT2022★ 7 cited

Capacity Bounds for One-Bit MIMO Gaussian Channels with Analog Combining

Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar +1

The use of 1-bit analog-to-digital converters (ADCs) is seen as a promising approach to significantly reduce the power consumption and hardware cost of multiple-input multiple-outp…

eess.SP2021★ 13 cited

On Minimizing Symbol Error Rate Over Fading Channels with Low-Resolution Quantization

Neil Irwin Bernardo, Jingge Zhu, Jamie Evans

We analyze the symbol error probability (SEP) of -ary pulse amplitude modulation (-PAM) receivers equipped with optimal low-resolution quantizers. We first show that the opti…

cs.IT2021★ 9 cited

On the Capacity-Achieving Input of Channels with Phase Quantization

Neil Irwin Bernardo, Jingge Zhu, Jamie Evans

Several information-theoretic studies on channels with output quantization have identified the capacity-achieving input distributions for different fading channels with 1-bit in-ph…

cs.IT2021★ 6 cited

Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output?

Neil Irwin Bernardo, Jingge Zhu, Jamie Evans

This paper establishes the capacity of additive white Gaussian noise (AWGN) channels with phase-quantized output. We show that a rotated -phase shift keying scheme is the capa…