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design and implementation of a Data Encryption Framework Simulink Model for Protecting Sensitive Organizational Data 1

Design and Implementation of a Data Encryption Framework Sim...

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1st International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Patchigolla, Veera Lakshmayya Clarksburg MD United States

ISBN: (纸本)9798331518578

Internet-of-Medical-Things (IoMT) based sensitive data protection has become a critical problem lately. IoMT-sensitive data are used to connect patients with adults. Since every record, data, and healthcare signal is transmitted over these systems, they need strong and safe access methods for individuals to transmit their essential statistics or documents. Because of this, breaching these systems could have negative impacts on patients. An emerging pattern in biometric verification is to prevent using authentic biometrics for security purposes. Cancelable digital fingerprints can be created using a data encryption framework or non-invertible transformations. This study presents an integrated structure for cancelable ECG signal detection that is suitable for use in IoMT networking access steps. The suggested system uses fuzzy reasoning to perform a non-invertible transition on ECG data, altering its shifting spectrum. Cancellable biometric platforms aim to retrieve original ECG data from processing variants, but the procedure is non-invertible and hinders this goal. Next, customized trends are used to build compact encryption using XOR. This eliminates the complication of comprehensive encryption systems requiring significant computing resources. By combining encryption techniques and non-invertible transformations, the encryption phase improves the safety of cancelable biometrics features and permits the mixed nature of the suggested cancelable biometrics architecture. For the actual adoption of the suggested ECG-based cancelable biometrics identification structure, hardware adaptation is also shown. According to empirical findings, the suggested structure performs well, with an Equivalent Error Rate (EER) of 0.059%. © 2025 ieee.

关键词： Electrocardiography

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Functional Basis Analysis for the Characterization of Power System signal Dynamics: Formulation, implementation, and Validation

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ieee Transactions on Instrumentation and Measurement 2025年 74卷

作者： Karpilow, Alexandra Derviškadić, Asja Paolone, Mario Lausanne1015 Switzerland Swissgrid AG Aarau5001 Switzerland

With the integration of distributed energy resources and the trend toward low-inertia power grids, the frequency and severity of grid dynamics are expected to increase. Conventional phasor-based signal-processing methods are proving to be insufficient in the analysis of nonstationary ac voltage and current waveforms, while the computational complexity of many dynamic signal analysis techniques hinders their deployment in operational embedded systems. This article presents the functional basis analysis (FBA), a signal-processing tool capable of capturing the broadband nature of common single-component signal dynamics in power grids while maintaining a streamlined design for real-time monitoring applications. Relying on the Hilbert transform (HT) and optimization techniques, the FBA can be user-engineered to identify and characterize combinations of several of the most common signal dynamics in power grids, including amplitude/phase modulations (AMs/PMs), frequency ramps (FRs), and steps. This article describes the theoretical basis and design of the FBA as well as the deployment of the algorithm in embedded hardware systems, with adaptations made to consider latency requirements, finite memory capacity, and fixed-point precision arithmetic. For validation, a phasor measurement unit (PMU) calibrator is used to evaluate and compare the algorithm’s performance to state-of-the-art static and dynamic phasor methods. The test results highlight the potential of the FBA method for implementation in embedded systems to enhance grid situational awareness during critical grid events. Future work will investigate the extraction of multicomponent broadband signals with empirical mode decomposition (EMD) for harmonic analysis. © 2025 ieee. All rights reserved.

关键词： Fixed point arithmetic

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Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network

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ieee TRANSACTIONS ON NEURAL NETWORKS AND LEARNING systems 2025年第4期36卷 7407-7421页

作者： Sun, Jianqiao Chen, Bo Lu, Ruiying Cheng, Ziheng Qu, Chunhui Yuan, Xin Xidian Univ Natl KeyLaboratory Radar Signal Proc Xian 710071 Peoples R China Xidian Univ Sch Cyber Engn Xian 710126 Peoples R China Westlake Univ Sch Engn Hangzhou 310030 Zhejiang Peoples R China

In hyperspectral image (HSI) processing, the fusion of the high-resolution multispectral image (HR-MSI) and the low-resolution HSI (LR-HSI) on the same scene, known as MSI-HSI fusion, is a crucial step in obtaining the desired high-resolution HSI (HR-HSI). With the powerful representation ability, convolutional neural network (CNN)-based deep unfolding methods have demonstrated promising performances. However, limited receptive fields of CNN often lead to inaccurate long-range spatial features, and inherent input and output images for each stage in unfolding networks restrict the feature transmission, thus limiting the overall performance. To this end, we propose a novel and efficient information-aware transformer-based unfolding network (ITU-Net) to model the long-range dependencies and transfer more information across the stages. Specifically, we employ a customized transformer block to learn representations from both the spatial and frequency domains as well as avoid the quadratic complexity with respect to the input length. For spatial feature extractions, we develop an information transfer guided linearized attention (ITLA), which transmits high-throughput information between adjacent stages and extracts contextual features along the spatial dimension in linear complexity. Moreover, we introduce frequency domain learning in the feedforward network (FFN) to capture token variations of the image and narrow the frequency gap. Via integrating our proposed transformer blocks with the unfolding framework, our ITU-Net achieves state-of-the-art (SOTA) performance on both synthetic and real hyperspectral datasets.

关键词： Feature extraction Transformers Task analysis Image reconstruction Frequency-domain analysis Hyperspectral imaging Spatial resolution Attention mechanism hyperspectral imaging image fusion vision transformers (ViTs)

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Massive MIMO-ISAC Beamforming design Via Sensing Energy Maximization

Massive MIMO-ISAC Beamforming Design Via Sensing Energy Maxi...

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

作者： Fang Li Bin Liao College of Electronics and Information Engineering Shenzhen University Shenzhen China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

In this paper, we investigate the problem of transmit beamforming design for massive multiple-input multiple-output integrated sensing and communications (MIMO-ISAC) systems, through sensing energy maximization. Most of existing methods for transmit beamforming design suffer from high computational complexity in massive MIMO systems, prompting us to develop implementation-friendly designs. Specifically, we employ a structured beamformer composed of the communication precoder and sensing beamformer to simplify the design. The corresponding problem is formulated as maximizing the radar sensing performance in terms of the energy radiated towards the target to ensure sufficient echo from the target, while guaranteeing the signal-to-interference-plus-noise ratio (SINR) for each communication user. In particular, we present two designs with different but affordable complexities based on the instantaneous channel state information (CSI) and statistical CSI, and derive the solutions to them. Numerical examples are carried out to demonstrate the effectiveness of the proposed beamforming designs.

关键词： Array signal processing Simulation Radar Massive MIMO Interference Integrated sensing and communication Computational complexity Speech processing MIMO communication signal to noise ratio

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Scalable Long-Distance ISAC signal design for OFDM systems with Theoretical Analysis and Practical Validation

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ieee Wireless Communications Letters 2025年

作者： Jiang, Qingji Sun, Xiaoxu Wang, Dongming Pan, Cunhua Wang, Jiangzhou Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Purple Mountain Laboratories Pervasive Communication Research Center Nanjing211111 China

The orthogonal frequency division multiplexing (OFDM) is a promising waveform for integrated sensing and communication (ISAC), but its sensing range is limited by the cyclic prefix (CP), making it unsuitable for long-distance requirements. Moreover, long-distance echoes spanning multiple OFDM symbols introduce inter-symbol ambiguity. To address this problem, we propose a novel scalable long-distance ISAC signal design and processing method, considering timing advance between uplink and downlink in practical base stations. First, cyclic shifts and inverse phase compensation with low implementation complexity are introduced to eliminate inter-symbol interference (ISI). Second, an efficient multi-symbol channel estimation and detection method is presented to resolve ambiguity caused by long-distance echoes. Theoretical analysis demonstrates improved signal to interference plus noise ratio (SINR) performance, while simulations confirm ISI-free sensing. Experimental validation on a millimeter-wave system successfully detects the distance and velocity of the unmanned aerial vehicle (UAV) beyond the CP limit, showcasing the practicality of the proposed approach. © 2012 ieee.

关键词： Unmanned aerial vehicles (UAV)

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ASIC design For High Speed Flash Analog To Digital Converter

ASIC Design For High Speed Flash Analog To Digital Converter

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Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), ieee Conference on

作者： Brijesh Patel Rutu Parekh DA-IICT Gandhinagar India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

This paper presents the design and implementation of an Application Specific Integrated Circuit ( ASIC) of a high-performance 4-bit Flash Analog-to-Digital Converter (ADC) using 180nm digital CMOS technology. designed to meet the stringent demands of high speed and low power consumption, this ADC is tailored for modern signal processing applications requiring rapid and energy-efficient data conversion. The Flash ADC leverages a fully parallel architecture, utilizing an array of precision comparators and a resistor ladder network to achieve ultra-fast conversion of analog signals into digital format. Operating at a clock frequency of 100 MHz, the proposed design delivers exceptional performance while consuming only 59.71 μW from a 1.8V supply, making it ideal for power-sensitive applications. This compact and efficient A DC underscores the critical role of Flash ADCs in enabling real-time digital signal processing across diverse domains, including communication systems, medical imaging, and high-speed instrumentation.

关键词： Application specific integrated circuits Resistors Performance evaluation Technological innovation Power demand CMOS technology Real-time systems CMOS integrated circuits Transistors Analog-digital conversion

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implementation of underwater target and background simulator based on DSP

Implementation of underwater target and background simulator...

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ieee Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Dan Wang Xiangfeng Yang Xiaoliang Yang China Shipbuilding Group 705 Research Institute Xi’an

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

With the development of sonar technology, equipment for target detection and location based on underwater sound waves has experienced extensive applications. However, due to the limitations posed by the cost and operational cycle of underwater experiments, target and background simulators are necessary for the design, implementation, analysis, and performance testing of modern underwater guidance systems. In view of this, this study proposes a docking electrical-signal target background simulator, which can realistically simulate both the motion and spatial characteristics of underwater targets in real-time. Meanwhile, it can also simulate background noise and main background reverberation interference, which can effectively replace underwater tests. The proposed target background simulator uses a high-speed DSP(DigitalsignalProcessor)and a computer platform to realize real-time simulations of electrical signals received by array elements of an underwater guidance system in an actual underwater navigation state. In this study, both hardware composition and software design based on parallel processing are described in detail, and the generation principles of the target echo, background noise, and reverberation are discussed. The developed target background simulator is verified experimentally, and the results demonstrated strong real-time performance, expandable functions, and large dynamic range. Finally, the proposed design can be beneficial for the trial production of underwater guidance systems.

关键词： Target tracking Frequency-domain analysis Delay effects Parallel processing Real-time systems Hardware Underwater navigation Reverberation Background noise Testing

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implementation of FIR Filter Using Multiplexer Based Truncated Multiplier and Approximate Adders

Implementation of FIR Filter Using Multiplexer Based Truncat...

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2025 International Conference on Visual Analytics and Data Visualization, ICVADV 2025

作者： Bali, Konidala Yogitha Kumar, N. Ashok Mohan Babu University Department of Ece Tirupati India

ISBN: (纸本)9798331521394

The growing demand for high-performance digital signal processing (DSP) systems necessitates the development of efficient digital filters with reduced power consumption, area, and computational complexity. The two important components of digital filters are multiplier and adder. This paper presents the design and implementation of digital filters utilizing a multiplexer-based truncated multiplier. The proposed approach focuses on optimizing multiplication operations, which are a critical component in digital filters, by minimizing the hardware resource usage while maintaining acceptable accuracy for DSP applications. The design methodology is detailed, including the architecture of the multiplier, integration into finite impulse response (FIR) filter, and the overall system workflow. Simulation and synthesis results obtained from Xilinx and Spartan-3E FPGA board demonstrate the performance of the proposed filter in terms of area, power, speed, and accuracy. Approximate Adders are used in place of adders in the digital filters. The findings indicate that the proposed design achieves significant improvements in efficiency compared to conventional filter implementations, making it a viable solution for resource-constrained applications in areas such as audio processing, communications, and embedded systems. © 2025 ieee.

关键词： Transversal filters

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Steerable Differential Polynomial Beamforming

Steerable Differential Polynomial Beamforming

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

作者： Feng Jiang Huawei Chen College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Conventional steerable differential beamformers are usually only applicable to microphone arrays with regular planar geometries. Recent years have seen the interest in the design of steerable differential beamformers for microphone arrays with an arbitrary planar geometry. However, the existing steerable differential beamformers for arbitrary planar arrays need to repeatedly recalculate their beamformer weight vectors when the steering angle changes, which may affect their real-time implementation. In this paper, we propose a steerable differential polynomial (SDP) beamformer design approach based on the Farrow structures by using the Jacobi-Anger expansion and least-squares method. The SDP beamformers are applicable to arbitrary planar microphone arrays, and can realize continuous 360-degree mainlobe steering in real time without the need of updating beamformer weight vector, which is very useful for time-critical applications such as hearing assisting devices. Simulation results are also reported to demonstrate the effectiveness of the proposed SDP beamformers.

关键词： Geometry Jacobian matrices Array signal processing Simulation Microphone arrays Real-time systems Vectors Polynomials Time factors Speech processing

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Long Range Surveillance MIMO Radar at 24 GHz

Long Range Surveillance MIMO Radar at 24 GHz

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ieee Annual Computing and Communication workshop and Conference (CCWC)

作者： Shahrokh Hamidi Kenichi Mori Yoshinobu Oyama Takao Nishikawa Makoto Kitagawa M.R Nezhad-Ahmadi Department of Electrical and Computer Engineering University of Waterloo Canada R&D Department Corporate Strategy Division Optex Co. Ltd. Japan Nagase Co. Ltd. Japan MMSENSE Technologies Inc. Canada

ISBN: (数字)9798331507695

ISBN: (纸本)9798331507701

Recently, radar-based detection and tracking at millimeter-wave frequencies have become increasingly popular. However, the performance of the radar systems operating at millimeter-wave frequencies has been mainly limited to short ranges which makes them unsuitable for many practical applications. In this paper, long range detection and tracking for multiple targets at millimeter-wave frequencies is presented based on our custom-made Multiple Input Multiple Output (MIMO) radar system. The structure of the radar and the innovation in the digital signal processing unit will make it possible to perform detection and tracking for targets at far ranges. To the best of our knowledge, this is the first millimeter-wave system which is capable of detecting and tracking human at 600 m radial distance from the radar system. We present a complete statistical analysis of the combined land clutter and the noise of the system. This paves the way for the implementation of the Constant False Alarm Rate (CFAR) algorithm to detect the desired targets. Following the detection block the multi-target tracking is performed. The tracking unit is implemented based on the Kalman filtering and constant velocity motion model while the data association is based on the state-of-the-art Joint Probabilistic Data Association Filter (JPDAF). The algorithms have been implemented using the C programming language, and fully real-time processing has been achieved. The results presented in the paper are based on the experimental data gathered from realistic scenarios which demonstrate the capability of the radar system, which operates at 24 GHz, as well as the algorithms,

关键词： Target tracking Radar clutter MIMO radar Radar detection signal processing algorithms LoRa Radar Millimeter wave radar Radar tracking Real-time systems

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