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Reconstruction of Level Cross Sampled Signals Using Sparse Signals & Backtracking Iterative Hard Thresholding

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Title Statement Reconstruction of Level Cross Sampled Signals Using Sparse Signals & Backtracking Iterative Hard Thresholding
 
Added Entry - Uncontrolled Name Terlapu, Sudheer Kumar; Shri Vishnu Engineering College for Women (A)
Ravuri, Viswanadham ; Engineering College for Women(Autonomous), Andhra Pradesh, India
Nayak, S S; CUTM, Odisha, India
 
Uncontrolled Index Term Level Crossing Shceme; Backtracking Iterative Hard Thresholding, IoT, Sparse Signal Processing
 
Summary, etc. Industry 4.0 applications involve more number of sensors or Internet of Things (IoT) devices to support automation in the industry. It involves more number of computations to analyze the sensor data collected from several critical parts of the processing units. Sparse signal processing is one which has numerous applications in area od communication and signal processing. This paper presents a new approach to reduce the computations with the help of level cross sampling (LCS) and a backtracking based iterative hard thresholding (BIHT) algorithm for reconstruction. The process involve, an information signal is converted to a random sparse signal using non-uniform sampling at the transmitter side and then it can be reconstructed back using BIHT algorithm at receiver side. Simulation results exhibit the superior performance of the proposed BIHT reconstruction in comparison with the literature
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2021-06-10 16:11:57
 
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http://op.niscair.res.in/index.php/JSIR/article/view/39674
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 80, ##issue.no## 03 (21)
 
Language Note en