位置：成果数据库 > 期刊 > 期刊详情页
Robust compressive multi-input-multi-output imaging
  • ISSN号：1751-8784
  • 期刊名称：IET Radar Sonar and Navigation
  • 时间：2013.3.3
  • 页码：233-245
  • 相关项目：非规则采样的超高分辨率影像获取理论与技术研究
作者： Zhao, Guanghui|Wang, Qi|Shen, Fangfang|Li, Xiaoming|Shi, Guangming|
同期刊论文项目
非规则采样的超高分辨率影像获取理论与技术研究
期刊论文 51 会议论文 9 获奖 4 专利 6
同项目期刊论文
Just Noticable Difference Estimation For Images with Free-Energy Principle
低信噪比下稳健压缩感知成像
Convex Combination based Target Localization with Noisy Angle of Arrival Measurements
满足重构概率约束的更少贝努利观测
Narrowband Ultrasonic Detection With High Range Resolution: Separating Echoes via Compressed Sensing
Image reconstruction with locally adaptive sparsity and nonlocal robust regularization
Self-similarity based structural regularity for just noticeable difference estimation
Edge-Based Perceptual Image Coding
Signal Matching Wavelet for Ultrasonic Flaw Detection in High Background Noise
基于特征完整描述的部分遮挡目标识别算法
基于移不变全方向角提升的遥感图像降噪
多稀疏空间下的压缩感知图像重构
Color demosaicking with an image formation model and adaptive PCA
Pattern Masking Estimation in Image with Structural Uncertainty
A Linear Combination-based Weighted Least Square Approach for Target Localization with Noisy Range M
Structure guided fusion for depth map inpainting
混合观测压缩感知图像多描述编码
基于面阵CCD-TDI模式编码感知的高分辨率遥感计算成像
随机编码感知的高分辨率遥感光谱计算成像
Random projection method for ultra wideband signal acquisition
Exploiting Non-Local Correlation via Signal-Dependent Transform (SDT)
Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling
Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach
Compressive Sensing via Reweighted TV and Nonlocal Sparsity Regularisation
Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularizatio
Perceptual Quality Metric With Internal Generative Mechanism
Cauchy diversity measures: a novel methodology for enhancing sparsity in compressed sensing
High-resolution spectral imaging based on coded dispersion
基于椭圆傅里叶描述子的遥感图像配准算法
结合稀疏表示与匹配梯度分布的图像复原
基于信息自由度采样的信号重构方法研究进展