Title
Sub-Nyquist 1 bit sampling system for sparse multiband signals
Abstract
Efficient sampling of wideband analog signals is a hard problem because their Nyquist rates may exceed the specifications of the analog-to-digital converters by magnitude. Modulated Wideband Converter (MWC) is a known method to sample sparse multiband signals below the Nyquist rate and the precision recovery relies on high precision quantization of samples which may take a great bit-budget. This paper proposes an alternative system that optimizes space utilization by applying comparator in sub-Nyquist sampling system. The system first multiplies the signal by a bank of periodic waveforms, and then it performs lowpass filtering, sampling and quantization through the comparator which just keeps the sign information. And we introduce a corresponding algorithm for perfect recovery. The primary design goals are efficient hardware implementation and low bit-budget. We compare our system with MWC to prove its advantages in condition of fixed bit-budget, particularly in low levels of input signal to noise ratio.
Year
Venue
Keywords
2014
EUSIPCO
sign information,1 bit quantization,fixed bit-budget condition,nyquist rates,low bit-budget,signal sampling,analogue-digital conversion,periodic waveforms,sparse multiband signal,modulated wideband converter,analog-to-digital converters,quantisation (signal),mwc,low-pass filters,compressive sensing,sub-nyquist sampling,space utilization,word length 1 bit,comparators (circuits),input signal to noise ratio,high precision sample quantization,low-pass filtering,sub-nyquist sampling system,comparator,sample sparse multiband signal method,wideband analog signal sampling,vectors,noise,compressed sensing,robustness
Field
DocType
ISSN
Oversampling,Control theory,Signal-to-noise ratio,Sampling (signal processing),Electronic engineering,Sampling (statistics),Nyquist–Shannon sampling theorem,Analog signal,Quantization (signal processing),Nyquist rate,Mathematics
Conference
2076-1465
Citations 
PageRank 
References 
3
0.39
10
Authors
3
Name
Order
Citations
PageRank
Ning Fu1159.20
Liu Yang230.39
Jingchao Zhang3154.31