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检索条件"任意字段=Wavelets - Applications in Signal and Image Processing X Conference"

共 4116 条记录，以下是11-20 订阅

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Wavelet Analysis of Cardiograms in EDF Format

Wavelet Analysis of Cardiograms in EDF Format

引用

Digital signal processing and its applications (DSPA), International conference on

作者： Sinan V. Kurbanov Denis A. Andrikov Department of Mechanics and Control Processes Peoples' Friendship University of Russia (PFUR) Moscow Russian Federation

ISBN: (数字)9798331518752

ISBN: (纸本)9798331518769

The correlation of the wavelet shape and the characteristic ECG section has been confirmed, and wavelets for the identification of P-, R-, and T waves have been experimentally established. An algorithm for identifying R waves in an ECG has been developed and its operability has been verified. Using the algorithm developed, a graph of the dynamics of the heartbeat period is plotted as a function of time (period number). To identify the P and T waves, the wavelet image of the real ECG is constructed, and the presence of distortion of the shape of this image due to the influence of QRS complex and neighboring waves is established. Computer removal (filtering) of QRS complexes from the ECG is carried out, wavelet image of the remaining part is calculated. The possibility of determining the positions of the maximum P- and T-waves has been established from the wavelet image of the filtered ECG. The theoretical and practical value of this study consists in a new direction of wavelet analysis of cardiac signals, by successively applying several wavelets of a special form, to identify characteristic sections of the ECG in order to improve diagnostics. The proposed method also assumes intermediate filtering of the identified sections when moving from wavelet to wavelet. The development was carried out within the framework of computer generation of arrays of digital functions of the state of the heart, suitable for training artificial intelligence systems, and diagnostics using such systems. The practical results obtained can be applied in the development of a digital expert diagnostic system or a specific technical device.

关键词： Training Correlation Shape Heart beat Filtering Heuristic algorithms signal processing algorithms Electrocardiography Wavelet analysis Distortion

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FPGA-based image signal processing CEPST module design 2

FPGA-based image signal processing CEPST module design

引用

2nd International conference on Frontiers of Applied Optics and Computer Engineering, AOCE 2025

作者： Tsai, Lifen Chen, Chinta Yang, Chihchung Tang, Lijie Wang, xiahui xue, Wuyang Ma, Huan Zhaoqing University Guangdong China Zhaoqing University Guangdong China

ISBN: (纸本)9781510689404

CEPST algorithm is an important step in image processing, which is widely used in computer vision, pattern recognition, and machine learning. In order to improve the efficiency and performance of CEPST algorithm, more and more studies have implemented the task of CEPST algorithm on FPGA boards in recent years. FPGA boards offer parallel computing capabilities, low power consumption, and low latency, making them suitable for high-performance computing and real-time applications. In this paper, the Vivado tool is used to implement the method of CEPST algorithm. Vivado has a complete toolchain and debugging environment, supports a variety of hardware description languages, and provides a rich set of IP cores and acceleration libraries to facilitate FPGA design and development. This paper details the steps of CEPST algorithm using Vivado, from algorithm design to simulation. The CEPST algorithm was designed to improve the accuracy and speed, and further improve the performance of the overall system. © The Authors.

关键词： image enhancement

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Facial Deblurring and Recognition Using image processing and Machine Learning Techniques 8th

Facial Deblurring and Recognition Using Image Processing and...

引用

8th IFIP TC 12 International conference on Computer, Communication and signal processing, ICCCSP 2024

作者： Subrahmanyam, B.R. Janavi, T.S. Keerthana, V. Serajudeen, Ayesha Jumana Arunnagiri, A.M. Department of Electronics and Communication Engineering College of Engineering Guindy Anna University Chennai600025 India

ISBN: (纸本)9783031736162

The project addresses the challenge of accurately identifying blurred faces in computer vision and facial recognition. It introduces a novel framework that integrates deblurring techniques, utilizing point spread function deconvolution to enhance facial image quality. Principal Component Analysis (PCA) is employed for feature extraction, and a K-Nearest Neighbors (KNN) classifier is applied for face identification. The combined deblurring and PCA-transformed features improve matching and identification accuracy, particularly in scenarios with initially blurred images. Experimental validation on a real-world dataset demonstrates the efficacy of the proposed methodology. This approach not only enhances facial recognition accuracy but also lays the groundwork for future research in challenging practical applications, such as security and law enforcement. © IFIP International Federation for Information processing 2025.

关键词： Optical transfer function

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Design and Verification of an FPGA-Based MRI image Cluster processing

Design and Verification of an FPGA-Based MRI Image Cluster P...

引用

2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Duvvuru, Abhiram Reddy Guntaka, Kumar Sai Reddy Jadhav, Shrikant San Jose State University Dept. Electrical Engineering San Jose United States California State University Northridge Dept. Computer Engineering Northridge United States

ISBN: (纸本)9798331504847

The FPGA-based MRI Cluster image processing System is designed to overcome the limitations of traditional MRI image processing, which often suffers from errors, high costs due to re-scans, and diagnostic delays. This system implements preprocessing techniques, such as median, average, and denoising filters, using a custom FPGA processor developed with System Verilog. In this work, we focused on enhancing image quality and processing speed. For example, the Peak signal-to-Noise Ratio (PSNR) values for one of the cases are 36.21 dB and 36.03 dB, demonstrating competitive performance compared to Python and MATLAB. The FPGA method also achieves a Mean Squared Error (MSE) as low as 15.57 for one of the cases, highlighting reduced error rates. The results show that the FPGA system achieves superior throughput and reduced error rates, demonstrating its capability to deliver high-quality images in real-time with minimal distortion. Validated using the UVM methodology, the design ensures reliable parallel processing and scalability. This FPGA-based approach significantly improves over traditional MRI image processing methods, making it a more efficient and cost-effective solution for medical imaging applications. © 2025 IEEE.

关键词： image enhancement

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Hyperedge Representations with Hypergraph wavelets: applications to Spatial Transcriptomics

Hyperedge Representations with Hypergraph Wavelets: Applicat...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： xingzhi Sun Charles xu João F. Rocha Chen Liu Benjamin Hollander-Bodie Laney Goldman Marcello DiStasio Michael Perlmutter Smita Krishnaswamy Yale University Harvey Mudd College Boise State University

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

In many data-driven applications, higher-order relationships among multiple objects are essential to capture complex interactions. Hypergraphs, which generalize graphs by allowing edges to connect any number of nodes, provide a flexible and powerful framework for modeling such higher-order relationships. In this work, we introduce hypergraph diffusion wavelets and describe their favorable spectral and spatial properties. We demonstrate their utility for biomedical discovery in spatially resolved transcriptomics by applying the method to represent disease-relevant cellular niches for Alzheimer’s disease.

关键词： Biological system modeling Transcriptomics Spatial databases Data models Acoustics Spatial resolution Alzheimer's disease Speech processing signal resolution

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Proceedings of SPIE - wavelets: applications in signal and image processing x

Proceedings of SPIE - Wavelets: Applications in Signal and I...

引用

wavelets: applications in signal and image processing x

The proceedings contains 47 papers from the conference of SPIE - wavelets: applications in signal and image processing. The topics discussed include: a class of heavy-tailed multivariate non-Gaussian probability models for wavelet coefficients;iterative projective wavelet methods for denoising;interpolation and denoising of piecewise smooth signals by wavelet regularization;adaptive wavelet thresholding for multichannel signal estimation;resolution enhancement and sampling with wavelets and footprints;multiscale likelihood analysis and image reconstruction;harmonic spline series representation of scaling functions and armlets and balanced multiwavelets.

关键词： image analysis

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Enhancing defocus blur in three-dimensional scenes via high-speed optical axial scanning and deep learning 2

Enhancing defocus blur in three-dimensional scenes via high-...

引用

2nd International Academic conference on Optics and Photonics, IACOP 2024

作者： Li, Zilong Tang, Chenxi Dong, Jiaqing Liu, xuan Lin, Jiabin Liu, Qiegen Song, xianlin School of Information Engineering Nanchang University Nanchang330031 China Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications Nanchang University Nanchang330031 China

ISBN: (数字)9781510688827

ISBN: (纸本)9781510688810

Mitigating image defocus blur induced by the limited depth of field in imaging systems and reconstructing the three-dimensional depth of scenes represents a significant hurdle. In this paper, a method for enhancing defocus blur in three-dimensional scenes via high-speed optical axial scanning and deep learning was proposed. The optical axial scanning system functions by synchronizing a liquid electronically tunable lens and a CCD camera to capture multi-focus image sequences. The system efficiently captures real-world images with a fast acquisition time of ~50 ms per image. The multi-focus image sequences are then fused to all-in-focus images. The multi-focus images and all-in-focus images (ground truth) serve as the dataset for the deep learning neural network. Defocused images can be reconstructed using the trained deep learning network. Furthermore, by establishing a direct relationship between the focal depth and the driving current applied to the liquid electronically tunable lens, the three-dimensional depth of the scene can be rapidly determined. Experimental results validate the feasibility and effectiveness of this method. It is expected to expand the applications of image defocus enhancement in fields such as medical imaging, 3D shape measurement, and augmented reality. © 2025 SPIE.

关键词： CCD cameras

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Proceedings of SPIE - wavelets: applications in signal and image processing x - Part Two

Proceedings of SPIE - Wavelets: Applications in Signal and I...

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wavelets: applications in signal and image processing x

The proceedings contains 42 papers from the conference of SPIE - wavelets: applications in signals and image processing x - Part two. The topics discussed include: a new local transform without overlaps: a combination of computational harmonic analysis and PDE;geometric methods for wavelet-based image compression;high-bitrate approximation;new design of orthogonal filter banks using the cayley transform;image registration using threefold orthogonal wavelet;a nonseperable multiwavelet for edge detection;wavelet-based pavement distress detection and evaluation.

关键词： image analysis

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FPGA Implementation of Optimized Floating Point Multiplier Using Minimal Error Logarithmic Approach 5th

FPGA Implementation of Optimized Floating Point Multiplier U...

引用

5th EAI International conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

作者： Basha, Sheik Jameer Eswar, Rakurthi Tharun Sai Vidya, Talluri Sai Kumar, Sannapu Aravind Afreen, Shaik Satyanarayana, B.V.V. ECE Department Vishnu Institute of Technology Bhimavaram534202 India

ISBN: (纸本)9783031770777

Floating numbers are represented using IEEE standard 754. IEEE 754 defines formats for representing single-precision and double-precision floating-point numbers, along with rules for performing basic arithmetic operations on these numbers. The standard specifies the following components for both 3single-precision (32-bit) and double-precision (64-bit) floating-point numbers. This project introduces an efficient approach to IEEE 754 floating-point multiplication by implementing it in the logarithmic domain using Logarithmic Number System (LNS). It overcomes the limitations of the traditional floating pointing multipliers. By utilizing logarithmic and antilogarithmic converters, the logarithmic multiplier allows multiplication through addition, enabling support for higher accuracy levels. Floating point multipliers play a vital role in high-power computing applications like image and signal processing. This project approach presents a providing solution to the challenges posed by floating-point multiplication, offering improved performance, reduced delay, and low power consumption for demanding computational tasks in various applications. The multiplier is implemented using Verilog HDL, targeted on Spartan-3E. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： image enhancement

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15th EAI International conference on Bio-inspired Information and Communications Technologies, BICT 2024

15th EAI International Conference on Bio-inspired Informatio...

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15th EAI International conference on Bio-inspired Information and Communications Technologies, BICT 2024

ISBN: (纸本)9783031815980

The proceedings contain 16 papers. The special focus in this conference is on Bio-inspired Information and Communication Technologies. The topics include: Optimizing Drug Delivery Strategies by Pathway Analysis for Waveform Modulation-Based Molecular Communication;Enhancing DNA-Based IoBNT Throughput and Reducing Congestion with Yin-Yang Coding;a Molecular Communication Model Driven by Magnetic Field Force;CDM Based on Izhikevich Neuron Model;multi-user Diffusive Molecular Communication Systems with A Passive Relay Node: Receiver Design and Performance Analysis;machine Learning-Based Detection Time Estimation for Molecular Communication;taming signal-Dependent Counting Noise with Machine Learning for Molecular Communication;energy-Efficient Transmitter Creation in Molecular Communication;a Method for Determining Relay Node Location in Molecular Communication;glycemic Oscillation Decomposition-Based Personalized Blood Glucose Prediction with Continuous Glucose Monitoring;A Compact Bio-inspired Microstrip Antenna (Bi-MPA) for Medical Microwave Imaging applications;image Encryption and Decryption Algorithm Based on DNA Sequence: Performance Analysis of Channel Fusion processing;Optimizing the Classification of SSVEP signals in Brain-Computer Interfaces: A Novel Sliding Window Data Segmentation Method Based on Weighted Voting Mechanism;spontaneous Motion of Nanorobots Inspired Computational Technology for Tumor Boundary Exploration.

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