Understanding Delta-Sigma Data Converters

By S. Pavan, R. Schreier, G. Temes. 2004

2,537 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Hardware and Architecture

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Boris Murmann
2. Mikko Saukoski
3. Lasse Aaltonen
4. Kari A. I Halonen

In Hardware and Architecture

1. Boris Murmann
2. Mikko Saukoski
3. Lasse Aaltonen
4. Kari A. I Halonen

Citations in the corpus

• Hardware implementation of memristor-based artificial neural networks (2024, neutral): “150 – 152, increasing 1-bit resolution or increasing the throughput by doubling the sampling frequency results in a 4× increase in power consumption (particularly for highly scaled CMOS technology nodes, where the power consumption is usually bounded by the thermal noise 153 ).”
• The Race for the Extra Decibel: A Brief Review of Current ADC Performance Trajectories (2015, background): “WALDEN fom [1] SChREIER fom (DR) [22] SChREIER fom (SNDR) [23]”
• Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond (2019, methodology): “These feedback loops emulate the performance of ∆ − Σ algorithms, which are widely used to improve the resolution of ADCs and digital-to-analog converters (DACs) [6], [87].”
• Zero-Rate Output and Quadrature Compensation in Vibratory MEMS Gyroscopes (2007, methodology): “In the system, the gyroscope output signals are converted into the digital domain with bandpass (BP) ADCs ([10], Ch.”