Title
Derivative Level-Crossing Sampling
Abstract
A new continuous-time level-crossing sampling LCS technique, which is called derivative LCS (DLCS), and associated reconstruction are proposed for bandpass signals. The derivative of the input is level-crossing sampled, and the result is transmitted; at the receiver, these samples are zero-order held and integrated, automatically resulting in piecewise-linear reconstruction, which has much lower quantization error than zero-order-hold (ZOH) reconstruction. Two refinements are presented, namely companded DLCS and adaptive-resolution DLCS. For some signals, the schemes proposed can significantly reduce the number of samples generated per unit of time, compared to schemes based on ZOH reconstruction, for a given signal-to-error ratio (SER), without the need for elaborate reconstruction techniques, such as linear prediction. Contrary to Nyquist-rate-clocked systems, DLCS and its variants exploit the varying spectral context and sparse structure of bursty signals by generating samples only when the signal rate of change requires it, thus promising to lead to low dynamic power dissipation in the associated hardware. Simulation results are presented.
Year
DOI
Venue
2015
10.1109/TCSII.2014.2362742
Circuits and Systems II: Express Briefs, IEEE Transactions  
Keywords
Field
DocType
piecewise linear techniques,signal reconstruction,signal resolution,signal sampling,nyquist-rate-clocked system,ser,bandpass signals,continuous-time level-crossing sampling lcs technique,derivative lcs,derivative level-crossing sampling,low dynamic power dissipation,lower quantization error than zero-order-hold reconstruction,piecewise-linear reconstruction,signal-to-error ratio,analog-to-digital conversion,level-crossing sampling,level-crossing sampling (lcs),nonuniform sampling,noise,simulation,power dissipation
Momentum (technical analysis),Band-pass filter,Level crossing sampling,Control theory,Dissipation,Linear prediction,Electronic engineering,Sampling (statistics),Quantization (signal processing),Signal reconstruction,Mathematics
Journal
Volume
Issue
ISSN
62
1
1549-7747
Citations 
PageRank 
References 
5
0.50
13
Authors
3
Name
Order
Citations
PageRank
Pablo Martinez Nuevo150.83
Sharvil Patil2284.73
Yannis P. Tsividis333373.63