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Power and area-efficient digital filters for communication applications 1

Power and area-efficient digital filters for communication a...

引用

1st international conference on Advanced Computing and Emerging Technologies, ACET 2024

作者： Zode, Pradnya Zode, Pravin Dhondse, Shweta Jajulwar, Kapil K. Y.C.College of Engineering Deptt. of Electronics Engg. Nagpur India G H Raisoni College of Engineering Deptt. of Electronics and Telecommunication Engg. Nagpur India

ISBN: (纸本)9798350367720

The paper introduces an innovative time-dependent finite impulse response (FIR) filter designed for utilization in time-mode signal processing systems like mobile phones and digital transmitters-receivers. The filter's functioning structure is embedded in the principles of high-level transformation techniques like parallel processing and folding. In this paper 6-tap FIR filter is designed and implemented using parallel processing and folding techniques for low power consumption and area minimization. The proposed FIR filter is modeled in Xilinx using Verilog hardware descriptive language and synthesized with the XST tool. The target implementation platform is the Xilinx ML605 embedded development kit to investigate the LUTs and power consumption of the design. The proposed filter reduces the major concern parameters of a design as power and area. The implementation results discover that the area is reduced to 90.83% of the existing method and power is reduced to 67.25% of the existing method. The findings represent a significant step ahead in hardware efficiency optimization. © 2024 ieee.

关键词： FIR filters

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Quantum Dot Cellular Automata-based Simulation and Design of 2-Bit Up and Down Counters 2

Quantum Dot Cellular Automata-based Simulation and Design of...

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2nd international conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Samanvita, N. Gatade, Shruti Sudhakar, N.M. Raman, Sowmya Nitte Meenakshi Institute of Technology Icap Lab Dept of Eee Bengaluru India

ISBN: (纸本)9798350382952

A promising nanotechnology, quantum dot cellular automata (QCA) has the potential to replace the standard CMOS era owing to its high speed and low power consumption. A crucial component of virtual systems is an counter which is an integrated circuitry that can increase or decrease its count number largely in response to manipulating inputs. This provides a versatile solution for a range of applications, such as control systems, signal processing, and mathematical computations. This work presents a new method for creating an Up-Down counter using QCA, demonstrating the way QCA can be used to advance digital circuitry. The up counter and down counter circuits are designed separately, and each circuit is verified using QCA designer. The designed counter in QCA as compared to conventional CMOS-based counters, offers higher desirable dependability, and can operate at clock frequencies of up to 100 GHz, and consume less energy less than 1 pJ per operation. The use of QCA in the implementation of the suggested circuits demonstrates the nanotechnology's promising potential to completely transform the field of virtual circuits and further developments in quantum-stimulated computing architectures. © 2024 ieee.

关键词： signal processing

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PERCEPTION-DISTORTION TRADE-OFF IN THE SR SPACE SPANNED BY FLOWMODELS 29

PERCEPTION-DISTORTION TRADE-OFF IN THE SR SPACE SPANNED BY F...

引用

ieee international conference on image processing (ICIP)

作者： Korkmaz, Cansu Tekalp, A. Murat Dogan, Zafer Erdem, Erkut Erdem, Aykut Koc Univ Coll Engn Istanbul Turkey Koc Univ KUIS AI Ctr Istanbul Turkey Hacettepe Univ Dept Comp Engn Ankara Turkey

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

Flow-based generative super-resolution (SR) models learn to produce a diverse set of feasible SR solutions, called the SR space. Diversity of SR solutions increases with the temperature (t) of latent variables, which introduces random variations of texture among sample solutions, resulting in visual artifacts and low fidelity. In this paper, we present a simple but effective image ensembling/fusion approach to obtain a single SR image eliminating random artifacts and improving fidelity without significantly compromising perceptual quality. We achieve this by benefiting from a diverse set of feasible photorealistic solutions in the SR space spanned by flow models. We propose different image ensembling and fusion strategies which offer multiple paths to move sample solutions in the SR space to more desired destinations in the perception-distortion plane in a controllable manner depending on the fidelity vs. perceptual quality requirements of the task at hand. Experimental results demonstrate that our image ensembling/fusion strategy achieves more promising perception-distortion trade-off compared to sample SR images produced by flow models and adversarially trained models in terms of both quantitative metrics and visual quality.

关键词： normalizing flows super-resolution image ensembles image fusion perception-distortion trade-off

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A Novel Approach for image Background Elimination

A Novel Approach for Image Background Elimination

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2023 ieee international conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023

作者： SenthilPandi, S. Naresh Kumar, A. Nitheesh Kumar, B. Paulraj, D. Department of Computer Science and Engineering Rajalakshmi Engineering College Chennai India Department of Computer Science and Engineering R.M.K. Engineering College Chennai India

ISBN: (纸本)9798350305708

A convenient and effective mobile tool for enabling the painless removal of background from photographs is the image Background Remover Android Application. The essential job of background removal in image analysis and computer vision has applications in computer graphics, object detection, and image editing. This study compares and contrasts cutting-edge background removal algorithms and approaches in order to assess their benefits, drawbacks, and suitability for various uses. The application enables users to get precise and eye-catching results by utilizing cutting-edge algorithms for image processing and interactive features. Users using the app can upload pictures from the device's storage or take brand-new ones with the camera. Then, a variety of background removal techniques are used. Then, to precisely distinguish between foreground and background regions, a variety of background removal techniques are used, such as color-based thresholding, Grab-cut and semantic segmentation based on deep learning. Using interactive editing tools, users have the freedom to manually improve the segmentation. The program additionally supports real-time processing, enabling users to see a live preview of background removal. Users may easily generate captivating photographs with smooth backgrounds removed thanks to the results being displayed through an easy and responsive user interface. The application shows its effectiveness, adaptability, and promise in practical uses in processing images and artistic production of content through careful analysis and user input. © 2023 ieee.

关键词： Background Removal algorithms Semantic Segmentation Thresholding

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END-TO-END SPATIAL-ANGULAR LIGHT FIELD SUPER-RESOLUTION USING PARALLAX STRUCTURE PRESERVATION STRATEGY 29

END-TO-END SPATIAL-ANGULAR LIGHT FIELD SUPER-RESOLUTION USIN...

引用

ieee international conference on image processing (ICIP)

作者： Zhou, Linjie Gao, Wei Li, Ge Peking Univ Shenzhen Grad Sch Sch Elect & Comp Engn Peng Cheng Lab Shenzhen Peoples R China

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

Limited by the sensor resolution of plenoptic cameras, it is challenging to obtain spatial and angular high resolution light field (LF). In this paper, we propose a method for spatial and angular super-resolution (SR) simultaneously while preserving parallax structure, which generates a high resolution (HR) dense LF from a low resolution (LR) sparse one with detailed textures. The proposed framework consists of four parts, including a depth estimation module to get scene geometry, an image warping process to generate intermediate warped views, an epipolar plane image (EPI) generation module to recover structural features, and a spatial-angular SR module to fully explore the informative features in 4D LF. Finally, the high quality HR scenes can be effectively reconstructed. Experimental results over several LF datasets demonstrate that our approach not only outperforms the existing spatial and angular SR methods separately, but also achieves better quantitative and qualitative results than the one-stage and two-stage spatial-angular approaches.

关键词： Super-resolution light field parallax structure spatial-angular fusion image restoration

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PERSON RE-IDENTIFICATION IN PANORAMIC VIEWS BASED ON BAYESIAN TRANSFORMERS 29

PERSON RE-IDENTIFICATION IN PANORAMIC VIEWS BASED ON BAYESIA...

引用

ieee international conference on image processing (ICIP)

作者： Song, Wenfeng Zhang, Xinyu Ye, Ying Gao, Yang Guo, Yifan Hao, Aimin Hou, Xia Beijing Informat Sci & Technol Univ Comp Sch Beijing Peoples R China Beihang Univ State Key Lab Virtual Real Technol & Syst Beijing Peoples R China

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

The panoramic view cameras offer more broad perspectives and continuous information for person re-identification (ReID). However, the panoramic-view videos suffer from objects distortion and bring more occlusion due to the fixed or moving capture points. This paper proposes a novel Bayesian Transformer Network (BTN) to adaptively capture the occlusion clues as Bayesian prior to guide the discriminative pedestrian-related feature extraction in the high-occlusion scenes. The Bayesian prior is built via a pre-trained CNN, which could recognize different occluded scenarios based on the severeness of noisy backgrounds. Moreover, to fully explore the occlusion prior, we propose to embed the semantic labels into a well-designed transformer network. By fostering the collaborative occlusion clues between the person and background, our method could achieve outstanding performance on both public benchmarks and panoramic view videos, which verifies the advantages of our BTN framework over existing methods.

关键词： Bayesian Prior Person Re-identification Panoramic View image

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Joint Design of Mismatched Filter and Phase Coded Waveform via Mainlobe Broadening 8

Joint Design of Mismatched Filter and Phase Coded Waveform v...

引用

8th international conference on signal and image processing, ICSIP 2023

作者： Qiang, Xiaomin Xu, Jiacen Ren, Lixiang Fan, Huayu Mao, Erke Beijing Institute of Technology Radar Research Lab School of Information and Electronics Key Lab. of Electronic and Information Technology in Satellite Navigation Ministry of Education Beijing100081 China

ISBN: (纸本)9798350397932

The joint design of mismatched filter and waveform is an important technique in suppressing sidelobes of phase coded waveform. Conventionally, an implied constraint that the mainlobe response is of the same width as a chip or bit is included. In fact, a slightly broadened mainlobe is acceptable in most cases. More importantly, relaxation of the mainlobe width will provide more design freedom in sidelobe suppression. In this work, the mainlobe response is broadened into a fixed window shape. Under the constraints of the shape of mainlobe and waveform constant modular, the optimization problem is to minimize the integrated sidelobe level (ISL). The optimization problem is solved by Lagrange multiplier method and Alternating Direction Multiplier Method (ADMM). This method will obtain low sidelobes with a slight loss of signal-to-noise ratio. Additionally, the explanation that mainlobe broadening can further reduce the sidelobe is given in the frequency domain. © 2023 ieee.

关键词： signal to noise ratio

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MANET: MITRAL ANNULUS POINT TRACKING NETWORK IN CARDIAC MAGNETIC RESONANCE 29

MANET: MITRAL ANNULUS POINT TRACKING NETWORK IN CARDIAC MAGN...

引用

ieee international conference on image processing (ICIP)

作者： Chen, Jianguo Yang, Xulei Leng, Shuang Tan, Ru-San Zeng, Zeng Zhong, Liang Agcy Sci Res & Technol Inst Infocomm Res Singapore 138632 Singapore Natl Heart Ctr Singapore Natl Heart Res Inst Singapore Singapore 169609 Singapore Duke NUS Med Sch Singapore 169857 Singapore

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

Cardiac magnetic resonance (CMR) imaging is frequently recommended for patients at intermediate risk of cardiovascular disease to triage them for medication or invasive aggressive treatment. Mitral annulus (MA) motion and velocities represent the cardiac contraction and relaxation, and hold potential to improve the detection of subtle cardiac dysfunction. However, conventional interpretation of CMR images requires expert manipulation and is often operator-dependent. In this paper, we propose an end-to-end MA Point Tracking Network (MANet) to automatically detect and track MA motion during cardiac cycle. The MANet model consists of MA point detection module and motion tracking module. In MA point detection, we design the convolutional-based feature extraction and elastic regression to detect MA points frame by frame of each CMR video. Then, in MA tracking, we adopt the Deep SORT model to capture spatio-temporal continuity between frames and fine-tune the coordinate position of MA points. 171 CMR videos with 4275 frames are used in comparison experiments, and the results demonstrate that our MANet model achieves promising performance in reference to clinical ground truth (r=0.71, P<0.001). This work provides an important preamble for cardiac motion tracking and cardiac function evaluation.

关键词： Mitral annulus point tracking cardiac motion analysis medical image analysis

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Deep Learning based Diabetic Retinopathy Detection using image processing 1

Deep Learning based Diabetic Retinopathy Detection using Ima...

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1st international conference on Cognitive Computing and Engineering Education, ICCCEE 2023

作者： Rathor, Sandeep Tiwari, Ashish GLA University Department of Computer Engineering and Applications Mathura India

ISBN: (纸本)9798350332803

The global prevalence of visual impairment and blindness due to diabetic retinopathy can be significantly reduced through improved diabetes management. Diabetic retinopathy (DR) screening is crucial as it can prevent vision loss. In recent years, personalized screening intervals considering various risk factors have been proposed, showing promising cost-effectiveness ratios. However, limited funding hampers the implementation of widespread screening programs in many countries. A groundbreaking advancement in screening methods is the application of Deep Learning, which revolutionizes the detection and classification of diabetic retinopathy while reducing costs. By automating the analysis of retinal images, Deep Learning techniques enable efficient and accurate identification of DR, enabling timely intervention and treatment. Moreover, emerging research suggests that retinal imaging can not only detect existing diabetic retinopathy but also identify individuals at risk, expanding the scope of screening beyond the detection of sight-Threatening diseases. This paves the way for proactive measures to prevent or mitigate the progression of DR. Therefore, this research aims to develop a Deep Learning-based system for diabetic retinopathy detection using image processing techniques. By leveraging the power of Deep Learning algorithms and advanced image analysis, this study seeks to improve the accuracy, efficiency, and accessibility of DR screening, ultimately enhancing patient outcomes and reducing the burden on healthcare systems. © 2023 ieee.

关键词： image analysis

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Optimizing Dual-Channel QMF Banks with Linear Phase Using Modified-GABC Approach: A Pathway to Enhanced signal processing

Optimizing Dual-Channel QMF Banks with Linear Phase Using Mo...

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2024 international conference on Integrated Circuits, Communication, and Computing Systems, ICIC3S 2024

作者： Daulat, Himani Varma, Tarun Chauhan, Krishna Gopal, Girdhar Malviya National Institute of Technology Department of Electronics and Communication Engineering Rajasthan Jaipur India VIT Bhopal University Department of Electronics and Communication Engineering Madhya Pradesh Bhopal India National Institute of Technology Department of Electronics and Communication Engineering Bihar Patna India

ISBN: (纸本)9798350364088

This work significantly advances optimized Quadrature Mirror Filter (QMF) bank design methodologies for promising signal processing and communication systems applications. An innovative approach to design a two-channel QMF bank utilizing Modified Gbest-Guided Artificial Bee Colony (Modified-GABC) optimization is presented. The primary goal is to optimize prototype filter coefficients, effectively minimizing the algebraic sum of prevalent errors in QMF bank design. The investigation showcases two design scenarios focusing on filter tap weights for N=32, and 100. A comprehensive analysis of performance parameters, encompassing pass band and stop band errors and squared error at quadrature frequency, is systematically conducted in MATLAB environment. Comparative assessment for N=32 underscores the superior performance of the proposed design, characterized by a reduced Measure Of Ripple (MOR) compared to existing techniques. © 2024 ieee.

关键词： Optimization

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