Detection of coherent light in an incoherent background

The change in position of the self-coherence function minimum is used to detect the presence of a coherent source, rather than the change in strength of the self-coherence function at the reference path difference. The system uses both optical and digital signal processing with MATLAB algorithm. An experimental system was built in the visible band, employing a Michelson interferometer, an interference filter centered in the red, and a silicon photodetector. The results were averaged over up to 50 scans, depending on the relative visibility of the white light and laser fringes, to reduce the scan to scan variability. Amplifier gain was introduced to reduce quantization noise

Single-Scan Min-Sum Algorithms for Fast Decoding of LDPC Codes

Many implementations for decoding LDPC codes are based on the (normalized/offset) min-sum algorithm due to its satisfactory performance and simplicity in operations. Usually, each iteration of the min-sum algorithm contains two scans, the horizontal scan and the vertical scan. This paper presents a single-scan version of the min-sum algorithm to speed up the decoding process. It can also reduce memory usage or wiring because it only needs the addressing from check nodes to variable nodes while the original min-sum algorithm requires that addressing plus the addressing from variable nodes to check nodes. To cut down memory usage or wiring further, another version of the single-scan min-sum algorithm is presented where the messages of the algorithm are represented by single bit values instead of using fixed point ones. The software implementation has shown that the single-scan min-sum algorithm is more than twice as fast as the original min-sum algorithm.Comment: Accepted by IEEE Information Theory Workshop, Chengdu, China, 200

Exploiting 2D Floorplan for Building-scale Panorama RGBD Alignment

This paper presents a novel algorithm that utilizes a 2D floorplan to align panorama RGBD scans. While effective panorama RGBD alignment techniques exist, such a system requires extremely dense RGBD image sampling. Our approach can significantly reduce the number of necessary scans with the aid of a floorplan image. We formulate a novel Markov Random Field inference problem as a scan placement over the floorplan, as opposed to the conventional scan-to-scan alignment. The technical contributions lie in multi-modal image correspondence cues (between scans and schematic floorplan) as well as a novel coverage potential avoiding an inherent stacking bias. The proposed approach has been evaluated on five challenging large indoor spaces. To the best of our knowledge, we present the first effective system that utilizes a 2D floorplan image for building-scale 3D pointcloud alignment. The source code and the data will be shared with the community to further enhance indoor mapping research

Real-time motion analytics during brain MRI improve data quality and reduce costs

Head motion systematically distorts clinical and research MRI data. Motion artifacts have biased findings from many structural and functional brain MRI studies. An effective way to remove motion artifacts is to exclude MRI data frames affected by head motion. However, such post-hoc frame censoring can lead to data loss rates of 50% or more in our pediatric patient cohorts. Hence, many scanner operators collect additional 'buffer data', an expensive practice that, by itself, does not guarantee sufficient high-quality MRI data for a given participant. Therefore, we developed an easy-to-setup, easy-to-use Framewise Integrated Real-time MRI Monitoring (FIRMM) software suite that provides scanner operators with head motion analytics in real-time, allowing them to scan each subject until the desired amount of low-movement data has been collected. Our analyses show that using FIRMM to identify the ideal scan time for each person can reduce total brain MRI scan times and associated costs by 50% or more

Modular Scan Test for SoC Design

In this paper we try to reconfigure the existing scan system to a Modular Scan (MS) in order to adapt itself for future complexities of the chip design. One specific application of MS is the Multiprocessor System-on-Chip (MPSoC) design, where each core can have its own scan chain and also have concurrent testing procedure. MS is a process of arranging the scan chains flexibly for multiple usages during scan test. MS can be used in large chip designs to reduce the length of scan chains, and to reduce the testing time. MS based tests allow the test engineer to easily reconstruct the scan chain in an MPSoC design, if any of the existing cores needs to be replaced with a new core in order to meet the new set of specifications. To achieve such a type of testing, generic scan chain architecture needs to be developed in order to ensure an easy plug-n-play scan chain in the system architecture

Modular Scan Test for SoC Design

In this paper we try to reconfigure the existing scan system to a Modular Scan (MS) in order to adapt itself for future complexities of the chip design. One specific application of MS is the Multiprocessor System-on-Chip (MPSoC) design, where each core can have its own scan chain and also have concurrent testing procedure. MS is a process of arranging the scan chains flexibly for multiple usages during scan test. MS can be used in large chip designs to reduce the length of scan chains, and to reduce the testing time. MS based tests allow the test engineer to easily reconstruct the scan chain in an MPSoC design, if any of the existing cores needs to be replaced with a new core in order to meet the new set of specifications. To achieve such a type of testing, generic scan chain architecture needs to be developed in order to ensure an easy plug-n-play scan chain in the system architecture