Compressed sensing theory presents a new method to capture and compress the data, which can reconstruct the original signal from much fewer measurements using the prior knowledge that the signal has the sparse representation.
压缩传感理论给出了一种新的信息获取和压缩的方法,其本质是利用信号可稀疏表示的先验知识,从比奈奎斯特采样少的多的观测值中重构原始信号。
参考来源 - 基于双树复数小波的压缩传感图像重构算法研究As this algorithm leads to enormous calculation and resource waste, compressed sensing could be applied to image compression to reduce the account the sampling rate, several experiments are presented.
针对这一方法无法克服的巨大计算量及资源浪费,将最近提出的压缩感知理论用于图像压缩编码,可大大降低采样速率,该文着重讨论了基于压缩感知理论的图像压缩算法,仿真实验证明了这一算法的可行性。
参考来源 - 基于压缩感知理论的图像压缩初步研究—《电脑知识与技术》—2010年第4期—龙源期刊网·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Recently, a new sampling theorem has been proposed-compressed sensing.
近年来，诞生了一种新的采样模式——压缩感知。
Compressed sensing is a novel technology in signal information processing. It offers a new wide-band spectrum detection scheme in cognitive radio.
信号信息处理的新技术压缩感知，提供了认知无线电中宽带频谱检测的新方案。
The reconstruction of MRI based on compressed sensing is able to recover the original image from the fewer projections using the sparse priors of image.
基于压缩传感的MRI图像重构利用图像稀疏的先验知识能从很少的投影值重构原图像。
应用推荐