Comments on "The structure of the limit cycles in sigma delta modulation

1990 ◽  
Vol 38 (8) ◽  
pp. 1117 ◽  
Author(s):  
J.E. Iwersen
Keyword(s):  
Limit Cycles ◽  
Sigma Delta Modulation ◽  
Sigma Delta ◽  
Delta Modulation

CMOS RF class-D power amplifier with bandpass sigma–delta modulation

2007 ◽  
Vol 38 (3) ◽  
pp. 439-446 ◽  
Author(s):  
Thomas Johnson ◽  
Robert Sobot ◽  
Shawn Stapleton
Keyword(s):  
Power Amplifier ◽  
Sigma Delta Modulation ◽  
Sigma Delta ◽  
Class D ◽  
Delta Modulation ◽  
Cmos Rf

On the robustness of single-loop sigma-delta modulation

2001 ◽  
Vol 47 (5) ◽  
pp. 1735-1744 ◽  
Author(s):  
C.S. Gunturk ◽  
J.C. Lagarias ◽  
V.A. Vaishampayan
Keyword(s):  
Sigma Delta Modulation ◽  
Sigma Delta ◽  
Single Loop ◽  
Delta Modulation

scholarly journals Short Word-Length Entering Compressive Sensing Domain: Improved Energy Efficiency in Wireless Sensor Networks

Information ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 415
Author(s):  
Nuha A. S. Alwan ◽  
Zahir M. Hussain
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Compressive Sensing ◽  
Word Length ◽  
Wireless Sensor ◽  
Fusion Center ◽  
Short Word ◽  
Sigma Delta Modulation ◽  
Sigma Delta ◽  
Delta Modulation

This work combines compressive sensing and short word-length techniques to achieve localization and target tracking in wireless sensor networks with energy-efficient communication between the network anchors and the fusion center. Gradient descent localization is performed using time-of-arrival (TOA) data which are indicative of the distance between anchors and the target thereby achieving range-based localization. The short word-length techniques considered are delta modulation and sigma-delta modulation. The energy efficiency is due to the reduction of the data volume transmitted from anchors to the fusion center by employing any of the two delta modulation variants with compressive sensing techniques. Delta modulation allows the transmission of one bit per TOA sample. The communication energy efficiency is increased by RⱮ, R ≥ 1, where R is the sample reduction ratio of compressive sensing, and Ɱ is the number of bits originally present in a TOA-sample word. It is found that the localization system involving sigma-delta modulation has a superior performance to that using delta-modulation or pure compressive sampling alone, in terms of both energy efficiency and localization error in the presence of TOA measurement noise and transmission noise, owing to the noise shaping property of sigma-delta modulation.

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