26,497 research outputs found
A Simplified Min-Sum Decoding Algorithm for Non-Binary LDPC Codes
Non-binary low-density parity-check codes are robust to various channel
impairments. However, based on the existing decoding algorithms, the decoder
implementations are expensive because of their excessive computational
complexity and memory usage. Based on the combinatorial optimization, we
present an approximation method for the check node processing. The simulation
results demonstrate that our scheme has small performance loss over the
additive white Gaussian noise channel and independent Rayleigh fading channel.
Furthermore, the proposed reduced-complexity realization provides significant
savings on hardware, so it yields a good performance-complexity tradeoff and
can be efficiently implemented.Comment: Partially presented in ICNC 2012, International Conference on
Computing, Networking and Communications. Accepted by IEEE Transactions on
Communication
Dense Voxel 3D Reconstruction Using a Monocular Event Camera
Event cameras are sensors inspired by biological systems that specialize in
capturing changes in brightness. These emerging cameras offer many advantages
over conventional frame-based cameras, including high dynamic range, high frame
rates, and extremely low power consumption. Due to these advantages, event
cameras have increasingly been adapted in various fields, such as frame
interpolation, semantic segmentation, odometry, and SLAM. However, their
application in 3D reconstruction for VR applications is underexplored. Previous
methods in this field mainly focused on 3D reconstruction through depth map
estimation. Methods that produce dense 3D reconstruction generally require
multiple cameras, while methods that utilize a single event camera can only
produce a semi-dense result. Other single-camera methods that can produce dense
3D reconstruction rely on creating a pipeline that either incorporates the
aforementioned methods or other existing Structure from Motion (SfM) or
Multi-view Stereo (MVS) methods. In this paper, we propose a novel approach for
solving dense 3D reconstruction using only a single event camera. To the best
of our knowledge, our work is the first attempt in this regard. Our preliminary
results demonstrate that the proposed method can produce visually
distinguishable dense 3D reconstructions directly without requiring pipelines
like those used by existing methods. Additionally, we have created a synthetic
dataset with object scans using an event camera simulator. This
dataset will help accelerate other relevant research in this field
Highly sensitive transient absorption imaging of graphene and graphene oxide in living cells and circulating blood
We report a transient absorption (TA) imaging method for fast visualization and quantitative layer analysis of graphene and GO. Forward and backward imaging of graphene on various substrates under ambient condition was imaged with a speed of 2 μs per pixel. The TA intensity linearly increased with the layer number of graphene. Real-time TA imaging of GO in vitro with capability of quantitative analysis of intracellular concentration and ex vivo in circulating blood were demonstrated. These results suggest that TA microscopy is a valid tool for the study of graphene based materials
- …