In digital communication, the bandwidth efficiency is one of the most important parameter to measure different modulation schemes, while the separation of waveforms in time domain of existing modulation schemes make it difficult to improve their bandwidth efficiency. Hence, in past decade researchers and engineers continuously try to find out the way to solve out this biggest problem in the fie...

Moore’s law has allowed the microprocessor market to innovate at an astonishing rate. We believe microchip implants are the next frontier for the integrated circuit industry. Current health monitoring technologies are large, expensive, and consume significant power. By miniaturizing and reducing power, monitoring equipment can be implanted into the body and allow 24/7 health monitoring. We plan...

This paper demonstrates how new principles of compressed sensing, namely asymptotic incoherence, asymptotic sparsity and multilevel sampling, can be utilised to better understand underlying phenomena in practical compressed sensing and improve results in real-world applications. The contribution of the paper is fourfold: First, it explains how the sampling strategy depends not only on the signa...

In An asymptotic result on compressed sensing matrices [4], a new construction for compressed sensing matrices using combinatorial design theory was introduced. In this paper, we analyse the performance of these matrices using deterministic and probabilistic methods. We provide a new recovery algorithm and detailed simulations. These simulations suggest that the construction is competitive with...

In this paper, we propose a general framework for the asymptotic analysis of node-based verification-based algorithms. In our analysis we tend the signal length n to infinity. We also let the number of non-zero elements of the signal k scale linearly with n. Using the proposed framework, we study the asymptotic behavior of the recovery algorithms over random sparse matrices (graphs) in the cont...

In this paper, we apply distributed compressive sensing (DCS) in heterogeneous sensor network (HSN). Combining different types of measurement matrices and different numbers of measurements, we firstly investigate three different scenarios in which HSN is used for signal acquisition. In the first scenario, there are two different types of measurement matrices. One is Gaussian measurement and the...