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DRDO's Rudram Missile Set to Undergo Crucial Trials before it enters production – Indian Defence Research Wing

DRDO's Rudram Missile Set to Undergo Crucial Trials before it enters production – Indian Defence Research Wing
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Development Organisation , Defense Research , Indigenous Anti Radiation Missile , Millimeter Wave , Dual Pulse Rocket Motor , Youtube Videos ,

"Role of Thermal Images in Various Applications of Computer Vision" by Ravina Gupta, Sarika Jain et al.

Object detection is an advanced area of image processing and computer vision. Its major applications are in surveillance, autonomous driving, face recognition, anomaly detection, traffic management, agriculture etc. This paper focuses on various object detection techniques in thermal images. A thermal imaging sensor is a device that creates an image by analyzing temperature differences between different objects in a scene and detecting radiation from those objects. In recent years, many machine learning and deep learning algorithms have been used to recognize objects in thermal images. This study makes a comparison of YOLO, YOLO DarkNet, Retinex algorithm, CNN-based machine learning model Support Vector Machine (SVM), and Gaussian Mixture Model (GMM), Mixer of Gaussian (MoG), Mean Shift Approach, Faster R-CNN and Deep Neural Network along with different datasets. ....

Neural Network , Support Vector Machine , Gaussian Mixture Model , Mean Shift Approach , Deep Neural Network , Dark Net , Infrared Images , Millimeter Wave ,

"Low-Rank Matrix Sensing-Based Channel Estimation for mmWave and THz Hy" by Khawaja Fahad Masood, Jun Tong et al.

This paper studies the channel estimation for wideband multiple-input multiple-output (MIMO) systems equipped with hybrid analog/digital transceivers operating in the millimeter-wave (mmWave) or terahertz (THz) bands. By exploiting the low-rank property of the concatenated channel matrix of the delay taps, we formulate the channel estimation problem as a low-rank matrix sensing (LRMS) problem and solve it using a low-complexity generalized conditional gradient-alternating minimization (GCG-ALTMIN) algorithm. This LRMS-based solution can accommodate different precoder/combiner and training structures. In addition, it does not require knowledge about the array responses at the transceivers, in contrast to most existing solutions allowing low training overhead. Furthermore, a preconditioned conjugate gradient (PCG) algorithm-based implementation and a low-rank matrix completion (LRMC) formulation are proposed to further reduce the computational complexity. In order to enhance the channel ....

Channel Estimation , Channel Estimation , Ybrid Mimo , Ow Rank Matrix Sensing , Atching Pursuit Algorithms , Millimeter Wave , Illimeter Wave Communication , Imo Communication ,

Marki Microwave acquires Precision Millimeter Wave biz

Marki Microwave acquires Precision Millimeter Wave biz
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Precision Millimeter Wave , Marki Microwave , Millimeter Wave ,