Essays about: "MATLAB IMAGES"
Showing result 1 - 5 of 125 essays containing the words MATLAB IMAGES.
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1. Digital Front End Algorithms for Sub-Band Full Duplex
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE
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2. Platform Tilt Detection : For Drone Landing
University essay from Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapAbstract : This report describes a project aimed at determining the angle of the landing platform to the drones using a tilted platform, IMU, and image processing algorithms. The goal of this project is to determine the safe landing of drones and drone landings by optimizing the landing location via platform tilt adjustment and angle computation. READ MORE
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3. Detection of local motion artifacts and image background in laser speckle contrast imaging
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Laser speckle contrast imaging (LSCI) and its extension, multi-exposure laser speckle contrast imaging (MELSCI) are non-invasive techniques to monitor peripheral blood perfusion. One of the main drawbacks of LSCI and MELSCI in clinical use is that the techniques are sensitive to tissue movement. READ MORE
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4. Improving the experimental setup for ultrasound-optical tomography imaging
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : According to Bröstcancer förbundet, mammography is not efficient at detecting tumors in dense breast tissue or diagnosing breast cancer at its early stages. Ultrasound-optical tomography (UOT) is an imaging technique in development and has the potential for deep-tissue imaging. READ MORE
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5. Image and RADAR fusion for autonomous vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such as LiDAR or RADAR are used to compute depth; each having its own advantages and drawbacks. READ MORE