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An AMCMD Approach for Robust EEG signal Classification: Unraveling Neurophysiological Insights and BCI Applications

An AMCMD Approach for Robust EEG Signal Classification: Unra...

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International conference on Information, Communication and Networks (ICICN)

作者： Muhammad Zulkifal Aziz Xiaojun Yu School of Automation Northwestern Polytechnical University Xi’an China

Electroencephalogram (EEG) signal processing plays a pivotal role in deciphering profound neurophysiological insights from seemingly inconspicuous neural signals, enabling the realization of practical BCI applications. This paper delves into an innovative and sophisticated EEG signal processing model, which employs three distinct combinations of EEG electrodes, four advanced feature extraction methods, and four cutting-edge classification algorithms, in conjunction with an adaptive multivariate chirp mode decomposition (AMCMD) for the analysis of motor imagery EEG signals. The feasibility of this novel approach is corroborated through its successful application to a sizable GigaDB dataset comprising 52 participants, as well as the challenging BCI competition III datasets IVa and IVb. The results unequivocally demonstrate that the seamless integration of the AMCMD mechanism with an 18-electrode combination, spectral features, and a multilayer neural network classifier engenders remarkably robust and discriminating classification outcomes. The classification accuracy for dataset IVa and IVb subjects attains an impressive pinnacle, reaching 99.70%, 99.88%, 99.88%, 99.87%, 100%, and 94.98%, respectively. Furthermore, when scrutinizing the GigaDB dataset, the average classification accuracy, sensitivity, specificity, and f1score exhibit commendable values of 82.71%, 82.76%, 83.04%, and 82.80%, respectively. These salient findings, juxtaposed against the backdrop of earlier studies, decisively manifest a striking 15.4% enhancement in average classification accuracy, irrefutably affirming the exceptional prowess of the proposed model. Consequently, the compelling evidence culminates in the conclusion that the adaptive AMCMD method stands resolutely robust, adept, and universally adaptive in its ability to proficiently classify EEG signals, deftly circumventing subject-to-subject variability across diverse and extensive datasets.

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Implementation of Speech processing Techniques for Human Emotion Recognition

Implementation of Speech Processing Techniques for Human Emo...

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Computational Intelligence for Green and Sustainable Technologies (ICCIGST), International conference on

作者： Bvv Padmavathi D. Ganesh M. Sunil Kumar Mungara Kiran Kumar Vamsidhar Talasila B. Neelambaram velagapudi ramakrishna siddhartha engineering college Kanuru Vijayawada Andhra Pradesh India Erstwhile Sree Vidyanikethan Engineering College(Autonomous) mohan babu university Tirupati Andhra Pradesh India Department of CSE School of Technology GITAM(Deemed to be university) Hyderabad Department of Computer Science and Engineering koneru lakshmaiah education foundation Green fields Vaddeswaram Guntur Andhra Pradesh India

ISBN: (数字)9798350381887

ISBN: (纸本)9798350381894

Emotion identification from speech signals has been a research issue in human machine interaction applications for many years. Emotions incredibly play a vital role in our mental functioning. SER is the process of identifying an individual speaker’s emotional state through the speech stream. The purpose of emotion recognition using speech processing is to develop a system that cans precisely asses a person’s emotional state based on their speech signals. They would use machine learning algorithms to analyze features such as pitch, tone, rhythm, and intensity of speech, and then classify the emotions expressed in the speech as happy, sad, angry, fearful, or neutral. The main applications of emotion recognition using speech processing include human-computer interaction, psychotherapy, and customer service. Inhuman-computer interaction, emotion recognition systems can provide more personalized and empathetic responses, enhancing the user experience. By analyzing their patients’ facial expressions and body language, therapists using emotion recognition systems in psychotherapy can better meet the needs of their patients. In customer service, emotion recognition systems can help companies to improve their customer satisfaction by detecting and responding to negative emotions expressed by customers. Neutral, Anger, Being happy, & Sadness are some of the few universal emotions that can be taught to any intelligent system with limited processing resources and ability to recognize and synthesize. as required. Mel-frequency cepstral coefficients (MFCC), a chromogram, a Mel scale spectrogram are extracted together with Tonal Centroid and Spectral Contrast characteristics. Deep Neural Network is used to understand human emotions, advanced signal processing techniques, and sophisticated machine learning algorithms.

关键词： Human computer interaction Emotion recognition Machine learning algorithms Customer services Speech recognition User experience Recording Speech processing Mel frequency cepstral coefficient Spectrogram

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Model-Based Systems Engineering to Design An Onboard Surround Vision System for Cooperative Automated Vehicles

Model-Based Systems Engineering to Design An Onboard Surroun...

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International Informatics and Software Engineering conference (UBMYK)

作者： Narsimlu Kemsaram Anweshan Das Gijs Dubbelman Space Robotics (SpaceR) Research Group SnT Centre University of Luxembourg Kirchberg Luxembourg Mobile Perception Systems (MPS) Lab Signal Processing Systems Group Eindhoven University of Technology Eindhoven AZ Netherlands

ISBN: (纸本)9781665407601

Cooperative automated vehicles have various electronic control units with multiple sensors running complex software algorithms to perceive and navigate their environment. Hence, there is a need to use advanced software engineering design methodology to reduce the software complexity and increase modularity. In this paper, we applied the SysCARS model-based systems engineering methodology to design an onboard surround vision system with a SysML modeling language using the IBM Rational Rhapsody modeling tool. The modeling methodology is described through various phases and steps with a modeling language to overcome the challenges. The modeling tool takes the information from the design model of the system and generates a skeletal code. The algorithm is written for each generated skeletal code, compiled with a C++ compiler on the host Desktop PC (Ubuntu 16.04 LTS), and deployed on the target Nvidia Drive PX2 embedded hardware platform. The designed solution fulfills the requirements of the onboard surround vision system.

关键词： Codes Software design Navigation Machine vision Computational modeling Design methodology Software algorithms

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Adaptive threshold vein enhancement method based on illuminance estimation

Adaptive threshold vein enhancement method based on illumina...

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IEEE advanced Information Technology, Electronic and Automation Control conference (IAEAC)

作者： Hailan Kuang Fuying Guan Xiaolin Ma Xinhua Liu School of Information Engineering Wuhan University of Technology Wuhan China Key Laboratory of Fiber Optic Sensing Technology and Information Processing Wuhan University of Technology Ministry of Education Wuhan China

ISBN: (数字)9781728180281

ISBN: (纸本)9781728180298

Infrared vein images often contain a lot of noise due to the performance defects of the infrared imaging system, and these images have the characteristics of low contrast, low signal-to-noise ratio, and blurred target details. In order to improve this situation, an adaptive threshold enhancement algorithm based on guided filter illuminance estimation (ATEBIE) is proposed to enhance the detailed information of the vein infrared image in this paper, especially the vein pattern, which is of great significance for applications such as vein display and vein recognition. Firstly, the infrared image of the vein is converted to the LAB color space representation to obtain the L-component of the image; Secondly, the multi-scale Gaussian blurring is performed on the component, and the noise is removed at the same time to obtain the initial illuminance estimation; then the guided filtering is used for accuracy illumination estimation; Finally, according to the illuminance image, an adaptive threshold is adopted to dynamically adjust the image to achieve the purpose of vein image enhancement. The experimental results show that the proposed algorithm not only suppresses the image noise very well, but also effectively enhances the vein texture details, and has a good application prospect.

关键词： Image color analysis Veins Estimation Filtering algorithms Information filters Image enhancement signal to noise ratio

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Design and implementation of all-digital receivers for mobile communications

Design and implementation of all-digital receivers for mobil...

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IEEE conference on Vehicular Technology (VTC)

作者： R. Subramanian M. Barberis F. Gerbig B. Ghosh Synopsys Inc. Mountain View CA USA

The ability to turn advanced digital receiver concepts into silicon VLSI is fast becoming the key factor in competing successfully to realize commercial mobile communication systems. Behavioral synthesis is central to the next-generation of high-level VLSI design automation tools that allow designing at the algorithm level and rapid exploration of the VLSI architecture space. We demonstrate how to leverage behavioral synthesis technology in the design of digital transceivers. We propose and demonstrate a new DSP system design methodology where digital communications engineers can interactively explore detection and estimation algorithms, architectures, and their IC implementation. We demonstrate how the designer can explore algorithms and architectures using three examples from portable and mobile communication modem applications: an MFSK receiver for paging applications, a receiver front-end channel filter for a wideband modem, and a Viterbi decoder used for trellis-coded modulation. Using the methodology, we demonstrate how system designers can exercise control over algorithm parameters as well as architectural parameters such as hardware area, speed, and latency. This allows algorithm designers to quickly explore different VLSI architectures that execute the same algorithm.

关键词： Very large scale integration Algorithm design and analysis Mobile communication Space technology Modems Silicon Design automation Transceivers Digital signal processing Digital communication

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Monophonic Audio-Based Automatic Acoustic Guitar Tablature Transcription System with Legato Identification

Monophonic Audio-Based Automatic Acoustic Guitar Tablature T...

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IEEE Region 10 International conference TENCON

作者： Moira Kelly Boloyos Thea Kaylee Libunao Jerome Masilungan Franz de Leon Crisron Rudolf Lucas Carl Timothy Tolentino EEEI University of the Philippines-Diliman Quezon City Philippines Advanced Science and Technology Institute (DOST-ASTI)

ISBN: (纸本)9781665495332

Music transcription plays a significant role in the music community in terms of learning and sharing knowledge about musical pieces. However, for guitar tablatures, most existing transcription systems fail to incorporate articulation detection. In this study, an automatic guitar transcription (AGT) system, which uses a monophonic guitar recording as input to detect and identify the string-fret combinations and articulations (legato) played, was developed. algorithms for each system block were chosen and modified to fit the system specifications. Results show that the modifications led to improvements in the string-fret block accuracy, from 78% to 87%, and the articulation block F-measure, from 59% to 84%. The AGT system was also compared with a commercial music transcription application. While both were trained on different data sets, the AGT system outperformed the latter, with the system having 78.65% string-fret accuracy and 93.23% articulation accuracy compared to the commercial application's 48.44% string-fret accuracy and 70.31% articulation accuracy.

关键词： Training Databases conferences Merging Buildings signal processing algorithms Music

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An Implementation of Montgomery Modular Multiplication on FPGAs

An Implementation of Montgomery Modular Multiplication on FP...

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International conference on Information Science and Cloud Computing (ISCC)

作者： Xinkai Yan Guiming Wu Dong Wu Fang Zheng Xianghui Xie State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China State Key Lab. of Math. Eng. & Adv. Comput. Wuxi China

Modular multiplication is one of the most important operations in the public key cryptographic algorithms. In order to design a high-performance modular multiplier, we present a novel hybrid Montgomery modular multiplier over GF(p) on FPGAs, which employs Karatsuba and Knuth multiplication algorithms in different levels to implement large integer multiplication. A 9-stage pipeline full-word multiplier is proposed for the 256-bit multiplication with 4-level recursion. The performance of our modular multiplier is improved through optimizing the pipeline and reducing carry-chain latency of the modular adder. On average, our modular multiplier can perform one 256-bit modular multiplication in 3 cycles. We can integrate 13 modular multipliers on a Xilinx Virtex-6 V6VSX475T FPGA. The experimental results show that the throughput of 856.9 million modular multiplications per second can be achieved and the hybrid Montgomery modular multiplier has an outstanding performance in the situations which need continuous multiplications.

关键词： Adders Pipelines Digital signal processing Field programmable gate arrays Algorithm design and analysis Elliptic curve cryptography Table lookup

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Parallel stochastic search for PAPR reduction of OFDM signal

Parallel stochastic search for PAPR reduction of OFDM signal

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International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Noritaka Shigei Hideaki Kumashiro Hiromi Miyajima Kagoshima University Kagoshima

Tone injection (TI) is an effective technique to overcome high PAPR (peak-to-average power ratio) of OFDM. The PAPR reduction problem solved with TI is a combinatorial problem. Although the effectiveness of GA has been demonstrated for this problem, GA involves relative complex operators. This implies that, when implementing the methods of TI on digital circuits, other methods may outperform GA under the same processing time. In this paper, we investigate effective parallel search methods for the PAPR reduction, which are of simple structure for implementing digital circuits. At first, as the basis of the parallel methods, we propose two types of stochastic search methods. The one is Flip-Probability-specified type (FP) search and the other is a specified-Number-of-Flips type (NF) search. Both of them use only simple stochastic operators. Then, we propose an effective digital circuit implementation of the solution evaluation function. Finally, we propose a parallel search method based on FP and NF search. The simulation results show that, the proposed parallel search methods can improve not only the processing speed but also the quality of the solution.

关键词： Noise measurement Search methods Peak to average power ratio Genetic algorithms Digital circuits Simulation

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IMAGE EDGE DETECTION BASED ON ADAPTIVE FUZZY MORPHOLOGICAL NEURAL NETWORK

IMAGE EDGE DETECTION BASED ON ADAPTIVE FUZZY MORPHOLOGICAL N...

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2006 International conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： GUO-QING YANG YAN-YING GUO LI-HUI JIANG General Administration of Civil Aviation of China PeKing 100710 China Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin300300 C

The fuzzy hit-or-miss transformation is a fuzzy morphological operator, which is a key for the feature extraction in the ambiguous information. In this paper, a neural network implementation for fuzzy morphological operators is proposed, and by means of a training method and differentiable equivalent representations for the operators, efficient adaptive algorithms to optimize structuring elements are derived. The gradient of the fuzzy morphology utilizes a set of structuring elements to detect the edge strength with a view to decrease the spurious edge and suppressed the noise. Results will be presented for images in comparison with the others edging detectors.

关键词： Adaptive fuzzy morphological neural network Morphological operation Edge detectors Image processing

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Automatic modeling and classification of vitreomacular traction pathology stages

Automatic modeling and classification of vitreomacular tract...

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Workshops on Image processing Theory, Tools and Applications, IPTA

作者： Agnieszka Stankiewicz Tomasz Marciniak Adam Dąbrowski Marcin Stopa Piotr Rakowicz Elżbieta Marciniak Division of Signal Processing and Electronic Systems Poznan University of Technology Poznanq Poland Department of Optometry and Biology of Visual System Poznan University of Medical Sciences Poznan Poland Clinical Eye Unit and Pediatric Ophthalmology Service Poznan University of Medical Sciences Poznan Poland

Retinal pathologies that are detected too late and/or left untreated can seriously damage eyesight. It is important to monitor the retina and react to any pathological changes. A fast, accurate, non-invasive, and even three-dimensional retina examination is the optical coherence tomography (OCT). In this paper we propose a new automated classification method for evaluation of vitreomacular interface (VRI) in human eyes. We present an approach for modelling changes in retina structure during the progression of vitreomacular traction (VMT) pathology. Presented experiments were performed on volumetric data acquired from adult patients with the use of Avanti RTvue device. advanced digital image processing algorithms were subsequently applied to each OCT cross-section (B-scan) for image denoising and flattening, as well as retina layers segmentation. The proposed solution has a good accuracy and almost all subjects were successfully classified into one of 4 groups corresponding to various stages of VMT. The developed models of VMT stages show a high potential of the proposed method to support ophthalmologists in making appropriate clinical decisions.

关键词： Retina Pathology Surface topography Distortion Shape Three-dimensional displays Computational modeling

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