A compressive high-speed stereo imaging system is reported. The system is capable of reconstructing 3D videos at a frame rate 10 times higher than the sampling rate of the imaging sensors.
: One-shot measurement systems combine multiple frames in a signal such as a video into a single frame of the same dimensions.
S consumption. In [3][4], a compressive neighbor discovery technique was Device-to-device (D2D) communication has received more and more attentions recently.
Compressive phase retrieval is the problem of recovering a structured vector $bf{x} in mathds{C}^n$ from its phaseless linear measurements.
The compressive sensing framework enables digital signal acquisition systems to take advantage of signal structures.
In this paper, a novel interference management technique based on compressive sensing (CS) theory is investigated for downlink non-orthogonal multiple access (NOMA) heterogeneous networks (HetNets)
This paper discusses the compressive sensing of digital sparse signals.
We solve the compressive sensing problem via the convolutional dictionary learning. We develop an alternating direction method of multipliers (ADMM) paradigm for compressive inversion.
We develop a new compressive sensing (CS) inversion algorithm by utilizing the Gaussian mixture model (GMM).
We present an end-to-end image compression system based on compressive sensing by adding measurement quantization and entropy coding to the conventional scheme of compressive sampling and reconstru
