Statistical performance analyzer for compressive sensing gradient algorithm

The paper presents a statistical performance analyzer for compressive sensing gradient algorithm. It is composed of two main parts. The first part is designed as a tool for signal reconstruction based on the gradient algorithm. The possibility to generate various signals is incorporated through the special panel which is used to set the length, sparsity, percent of available samples and the ranges of amplitude. Also, a noise with specified variance can be added through this panel as well. The second part of presented instrument is dedicated to the statistical analysis. Different analysis can be performed through this part such as the calculation of MSE as a function of noise variance or signal sparsity, as well as the analysis of MSE and computational time in terms of sparsity and the amount of missing samples. This instrument can be useful for both the research and educational purpose for the area of compressive sensing and signal reconstruction.