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Compressed sensing (CS) with prior information concerns the problem of reconstructing a sparse signal with the aid of a similar signal which is known beforehand. We consider a new approach to integrate the prior information into CS via maximizing the correlation between the prior knowledge and the desired signal. We then present a geometric analysis for the proposed method under sub-Gaussian measurements...
This paper discusses how to acquire an estimation of DOA(Direction of Arrival) and polarimetric parameters of arriving sources with high accuracy, for polarimetric array is seldom used till now, and even when it is used, it is still hard to acquire an estimation with high accuracy. We apply CS-based method instead of traditional methods to find solutions for the mathematical model of polarimetric...
This paper proposed a simple and novel approach for on-road object detection based on vision. Firstly, a simple method is applied to detect the interest pixels of object in images by the defined interest pixels function and a single strategy is applied to reduce the redundant computation in the process of computation gray mean of pixels in squared window; Secondly, all the detected interest pixels...
A new method with an efficient parallel particle swarm optimization (PSO) algorithm is proposed for estimating motion parameters. Compared with the traditional methods, modified parallel PSO algorithm features such as easily realizing in parallel machines and ability of global search are demonstrated. The experiments give the performance of algorithm, which could satisfy the desire in the system of...
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