CompressedSensing相关论文
As a critical candidate technology for 5G-advanced and 6G, reconfigurable intelligent surfaces (RIS) have received exten......
Weighted ep(0＜p≤1)minimization has been extensively studied as an ef-fective way to reconstruct a sparse signal from com......
Sensing Matrix Optimization for Multi-Target Localization Using Compressed Sensing in Wireless Senso
In the multi-target localization based on Compressed Sensing(CS),the sensing matrix\'s char-acteristic is significant ......
It is generally believed that,in ghost imaging,there has to be a compromise between resolution and visibility.Here we pr......
Computational ghost imaging[CGI]has recently been intensively studied as an indirect imaging technique.However,the image......
Signal reconstruction is a significantly important the-oretical issue for compressed sensing. Considering the situation ......
Computational ghost imaging (CGI) provides an elegant framework for indirect imaging,but its application has been restri......
Pilot pattern has a significant effect on the performance of channel estimation based on com-pressed sensing.However,bec......
Speech emotion recognition (SER) in noisy environment is a vital issue in artificial intelligence (AI).In this paper,the......
The compressed sensing matrices based on affine symplectic space are constructed.Meanwhile,a comparison is made with the......
One-bit compressed sensing (CS) technology reconstructs the sparse signal when the available measurements are reduced to......
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Research on Reduction Section Temperature Soft Sensor Model of Hematite-Ore-Beneficiation Shaft Furn
The roasting process of shaft furnace is one of the most important processes in the Minerals Processing Factory,the prim......
Compressed Sensing(CS)theory is a new method of signal acquisition and processing proposed in recent years.With small am......
Stepped-frequency waveforms (SFWs) can use the digital signal processing method to obtain high range resolution with rel......
An Adaptive ISAR-Imaging-Considered Task Scheduling Algorithm for Multi-Function Phased Array Radars
In multi-function phased array radar (MFPAR) systems, time and energy resources are allocated for different tasks so tha......
Phased array structural health monitoring(SHM)process collects a lot of data,which needs many resources to transmit and ......
Macroscopic or microscopic structure information of objects is mainly collected by the visible light in our daily life.H......
Secure Transmission Research of Data Based on Compressed Sensing and Digital Watermarking Technology
In view ofthe Internet ofthings secret information easv to leak in data transmission.a model of data secure transmission......
Backgrounds: In current molecular biology,it becomes more and more important to identify characteristic genes closely co......
PURPOSE:To explore the effect of the scan time and CS acceleration factor on the image quality of the 3D pelvic view seq......
The sparsity which is implicit in MR images is exploited to significantly undersample k-space.According to the developed......
For high-resolution digital holography,a large amount of redundant data processing and analysis will follow burden.Compr......
An Improved Simplified Method of Power Amplifier Behavioral Model Based on Compressed Sensing Theory
This paper proposed an improved algorithm,which combines the advantages of Regularized Sparse Adaptive Matching Pursuit(......
The Dantzig selector has received popularity for many applications such as compressed sensing and sparse modeling,thanks......
In ultrafast optical imaging, it is critical to obtain the spatial structure, temporal evolution, and spectral compositi......
研究了一种基于主动关联成像方式的太赫兹成像系统,可利用一个太赫兹单点探测器实现目标的高速、高分辨二维成像,突破了太赫兹器件......
基于可见光通信的指纹定位,提出一种低复杂度、稀疏度自适应的压缩感知算法。首先,利用位置指纹的稀疏性,将定位问题转换为稀疏矩......
光学压缩光谱成像是融合了压缩感知原理的新型光谱成像技术，具有降低数据采集量、能对景物实施凝视拍摄、提高信噪比等优点。考虑到......
针对激光扫描仪获取的三维文物稠密点云模型在数据存储、远程传输与处理等环节导致的资源过度消耗问题,提出了一种基于贪婪算法的......
针对SIFT算法的图像配准耗时长的问题,提出一种基于压缩感知的图像配准算法。首先,使用FAST算法提取图像角点,然后,使用SIFT算法生......
从压缩感知的原理入手,阐述了基于压缩感知的三维物体成像方法。为解决压缩感知三维物体成像计算量大的问题,重点提出了一种三维信......
Computational ghost imaging(CGI) has recently been intensively studied as an indirect imaging technique. However, the im......
针对多散射多传播路径的射频层析成像稀疏系统出现虚假目标影响图像重构的问题,提出一种基于子空间追踪的自适应稀疏度重构方法。......
为了确保现代网络信息传输的安全性问题,提出了一种基于压缩感知理论和分块Arnold变换置乱的计算全息图双重加密算法。该方法制作......
将逆合成孔径雷达成像原理应用于激光波段和机载平台，在千公里级别探测距离上实现了对空间锥形目标的稀疏微动成像，对应距离/方位分......
为了提高荧光超分辨显微技术的时间分辨率,提出了各种高密度荧光分子定位算法。对基于压缩感知模型的凸优化(CVX)工具箱的内点算法......
基于压缩感知(CS)理论,提出使用高功率纳秒脉冲激光器照射远距离目标物体,通过望远系统将目标物体成像到数字微镜阵列(DMD)上,利用......
针对机载合成孔径激光雷达实测数据成像中旁瓣较高的问题, 提出一种新旁瓣抑制算法。压缩感知理论表明, 稀疏信号恢复重构过程的同......
为了处理运动目标跟踪中的遮挡、光照变化以及背景杂乱等问题,提出了一种基于加权多实例学习的压缩感知目标跟踪方法。在提取图像......
太赫兹波可穿透塑料、纸张、衣服等非金属、非极性物质，与X辐射相比具有较低的光子能量；计算机辅助层析成像（CT）可获得物体内部结构信......
将压缩传感理论与偏折角修正迭代技术相结合解决光偏折层析极少方向的投影重建，提出了一种新的偏折角压缩传感修正重建算法。该算法......
Compressed ultrafast photography(CUP) is a burgeoning single-shot computational imaging technique that provides an imagi......
为突破传统多输入多输出变换域通信(MIMO-TDCS)要求电磁环境一致性的技术瓶颈, 将MIMO-TDCS的强抗干扰能力拓展到复杂电磁环境通信......
为了解决传统数据采集压缩利用率低的问题,提出了基于压缩感知原理的动态投影照明实现单像素成像的新方法,即采用普通液晶投影仪把......
根据高光谱图像的特点，提出一种基于谱间去相关模型的迭代硬阈值重构算法。根据高光谱图像序列的相邻图像之间具有很强的相关性，在迭......
为了提高鬼成像的速度, 提出了基于阈值分割的并行压缩差分鬼成像方法。首先通过设置合理的阈值筛选出涨落较为明显的数据进行采样......
描述了一种成像方式基于压缩传感(CS)理论的太赫兹(THz)成像系统，其核心思想是将压缩与采样合并进行，采集图像的非自适应线性投影(测......
Multi-coset angular sampling-based compressed sensing of blade tip-timing vibration signals under va
Blade Tip-Timing (BTT) has been regarded as a promising way of on-line blade vibra-tion monitoring.But blind multi-band ......
随着机场航站无线电设备数量的增加,迅速准确地识别通信信号的模式尤为重要。本文提出了一种基于压缩感知和改进残差网络的信号调......
