Cognitive radio technology has the potential to address the shortage of available radio
spectrum by enabling dynamic spectrum access. Since its introduction, researchers have …

In cognitive radio, one of the main challenges is wideband spectrum sensing. Existing
spectrum sensing techniques are based on a set of observations sampled by an …

Sparse signal restoration is usually formulated as the minimization of a quadratic cost
function| y-Ax|| 2 2 where\mbi A is a dictionary and\mbi x is an unknown sparse vector. It is …

平滑l0 范数(SL0) 算法是一种基于近似l0 范数的压缩感知信号重构算法, 采用最速下降法和梯度
投影原理, 通过选择一个递减序列来逐步逼近最优解, 具有匹配度高, 计算量低 …

Pilot contamination is the reuse of pilot signals, which is a bottleneck in massive multi-input
multi-output (MIMO) systems as it varies directly with the numerous antennas, which are …

Cognitive radio (CR) technology has the potential to detect and share the unutilized
spectrum by enabling dynamic spectrum access. To detect the primary users'(PUs) activity …

A cognitive radio system has the ability to observe and learn from the environment, adapt to
the environmental conditions, and use the radio spectrum more efficiently. It allows …

Sparse signal reconstruction, as the main link of compressive sensing (CS) theory, has
attracted extensive attention in recent years. The essence of sparse signal reconstruction is …

This paper addresses the problems of sparse signal and image recovery using compressive
sensing (CS), especially in the case of Gaussian noise. The main contribution of this paper …

The channel plays a significant role as the multipath in Multiple Input Multiple Output‐
Orthogonal Frequency Division Multiplexing (MIMO‐OFDM) systems. The precoding‐based …