Article
Engineering, Electrical & Electronic
W. Jin, Z. Q. Zhong, S. Jiang, J. X. He, D. Chang, Y. H. Hong, R. P. Giddings, X. Q. Jin, M. O'Sullivan, T. Durrant, J. Trewern, G. Mariani, J. M. Tang
Summary: This paper proposes a novel rectangular orthogonal digital filter bank based on the extended Gaussian function, which exhibits excellent performance and robustness for multi-channel upstream PON systems. Compared to the SRRC-based digital filter bank, the EGF-based approach reduces the complexity of digital filtering while improving performance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Biomedical
Karan Singh Parmar, Aman Kumar, Uppal Kalita
Summary: The study aims to develop an automated diagnosis system for hypertension detection using Electrocardiogram (ECG) signals. The ECG signals are decomposed using Fourier Decomposition Method (FDM) and Cosine Modulated Filter Bank (CMFB) and the features of the decomposed sub-signals are evaluated. The proposed method outperforms existing techniques in terms of classification accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Engineering, Electrical & Electronic
Ruijie Zhao, David B. Tay
Summary: We address the issue of designing high spectral selectivity graph filter banks using high-degree polynomial approximation. The minimax criterion and constraint optimization method are employed in the design process to achieve sharp transition band roll. A spectral transformation is used to overcome numerical problems with high-degree polynomials, allowing the approximation problem to be recast as an approximation problem with trigonometric polynomials. The transformed constraint optimization problem can be solved using the sequential quadratic programming (SQP) method.
Article
Engineering, Electrical & Electronic
Fabricio Ely Gossler, Marco Aparecido Queiroz Duarte, Francisco Villarreal
Summary: This paper proposes a new method for designing nearly-orthogonal wavelet filter banks based on the wavelet orthogonalization process, and introduces a process to extract semi-conjugate filters from non-orthogonal wavelets. The experimental results show that using this method can design symmetrical odd length nearly-orthogonal wavelet filters that meet the frequency domain specifications, with good reconstruction capabilities and less distortion.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Computer Science, Information Systems
Ayan Kumar Dutta, Shiv Dutt Joshi, Sandeep Patel, Brejesh Lall
Summary: This paper aims to quantify the difference between a time-varying system and time-invariance. The time variance of filter banks is quantified using kernel representation. The off-diagonal matrix elements can be used to deduce the time-varying behavior of a system, proving that time-invariant and time-varying components can be separated. The research offers a new kernel-based definition for time variance and provides explicit expressions for quantifying the degree of time variance for different scenarios.
Article
Mathematics, Applied
Junxia You, Lihua Yang
Summary: This paper extends the theory of perfect reconstruction two-channel filter banks from bipartite graphs to non-bipartite graphs. By generalizing the concept of downsampling/upsampling, the framework for two-channel filter banks on arbitrary connected, undirected, and weighted graphs is established. Equations for perfect reconstruction of the filter banks are presented and solved under proper conditions. Algorithms for designing orthogonal and biorthogonal banks are provided, and the locality and approximation properties of such filter banks are discussed theoretically and experimentally. (c) 2023 Elsevier Inc. All rights reserved.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
(2023)
Article
Engineering, Electrical & Electronic
Fei Teng, Yiwen Jiao, Wenge Yang, Jining Yan, Zefu Gao, Zhiwei Lu
Summary: This paper addresses the research gap in parallel demodulation of remote sensing satellite data using multichannel channelization technology and proposes a parallel matched filtering architecture based on the weighted overlap-add structure. The proposed architecture provides flexibility in the decimation factor and parallel analysis of the signal. The research results have significant reference value for designing high-speed remote sensing data receivers in the future.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Junyi Liu, Ke-Li Wu
Summary: This article presents a rigorous and straightforward framework for an exhaustive search of all viable coupling topologies and their real-valued coupling matrices for a given filtering function. The framework establishes simultaneous equations based on the proven uniqueness of the folded coupling matrix, providing a method for a well-behaved numerical solution search process. Demonstration examples show that the framework can systematically find all viable coupling topologies and their real-valued solutions, leading to the discovery of new useful coupling configurations.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2023)
Article
Computer Science, Artificial Intelligence
Md. Yousuf Ali, Bin Jiang, Oindrila Chowdhury, Md. Harun-Ar-Rashid, M. Shamim Hossain, Khalid Almutib
Summary: This paper introduces a content-based image retrieval technique, image segmentation, and combines artificial intelligent algorithm and cosine modulated filter bank (CMFB) for critical area extraction. It further improves the performance by integrating feature fusion and saliency mapping calculation on multi-scale images, outperforming conventional techniques.
Article
Engineering, Electrical & Electronic
Xiumei Li, Xianpeng Wang, Ronggang Qi, Guoan Bi
Summary: This study reports on deriving computationally efficient filter bank structures through simple graphic transformations, which are elegantly simple and straightforward in concept. These procedures can flexibly be used to find efficient structures of both maximally and non-maximally decimated filter banks, with lower computational complexity for the non-maximally decimated filter banks compared to those reported in the literature.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Xue-Feng Zhang, Shuai-Hua Cao, Jian-Xin Chen
Summary: A bandwidth-controllable filtering antenna based on a composite effective surface plasmon polaritons (ESPPs)-substrate integrated waveguide (SIW) structure is proposed, providing independent controllability of cutoff frequencies by engineering the structural dispersion of ESPPs. The filter exhibits a controllable bandwidth and good performance in both passband and stopband according to simulated and measured results.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Engineering, Electrical & Electronic
Junzheng Jiang, Hairong Feng, David B. Tay, Shuwen Xu
Summary: This paper develops the theory and design of a joint time-vertex nonsubsampled filter bank using a generalized product graph framework. Several methods for designing the filter bank with perfect reconstruction and good spectral characteristics are proposed. A notable feature is that the filter bank can be completely realized in a distributed manner, reducing implementation complexity and suitable for processing large time-varying datasets.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Computer Science, Information Systems
Xiangyu Cai, Sunwoo Ko
Summary: This paper proposes a learnable parametric filter banks, which selects learnable parameters from the original filter banks and learns a parameter filter banks that adapts to the current dataset through the learning ability of a neural network. Experimental results show that the parametric filter banks outperform the original filter banks in speech recognition tasks and achieve high accuracy on the Audio MNIST and Ten Languages datasets.
Article
Engineering, Electrical & Electronic
Aman Kumar, Ramesh K. Sunkaria
Summary: This paper presents the design of a uniform cosine modulated filter bank (CMFB) using Incremental Ant Colony Optimization with Local Search (IACOR -LS) for the removal of Baseline Wander (BW) from ECG signals. The proposed method optimizes the cut-off frequency and shape parameter of the prototype filter to minimize amplitude distortion and aliasing errors. A simple technique is also proposed for BW removal, which utilizes the minima of the first sub-band signal of an 8-channel uniform CMFB. The performance of the proposed technique is evaluated and compared with existing methods using four parameters, and it is found to outperform the existing methods.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Juan-Carlos Santos-Leon, Ramon Orive, Daniel Acosta, Leopoldo Acosta
Summary: This paper revisits the construction and effectiveness of the Cubature Kalman Filter (CKF) and its extensions for higher precision, establishing stable cubature rules within a mathematical framework of numerical integration. By discretizing higher order partial derivatives, stable rules for degrees 5 and 7 are provided and tested for application in filter algorithms through various examples.
Article
Engineering, Electrical & Electronic
Francisco J. Escribano, Jose Saez-Landete, Alexandre Wagemakers
IEEE TRANSACTIONS ON COMMUNICATIONS
(2019)
Article
Engineering, Electrical & Electronic
Carlos Hernando-Ramiro, Lisandro Lovisolo, Fernando Cruz-Roldan, Manuel Blanco-Velasco
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2019)
Article
Engineering, Electrical & Electronic
Fernando Cruz-Roldan, Wallace A. Martins, Paulo S. R. Diniz, Marc Moonen
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2019)
Article
Chemistry, Analytical
Raul Caulier-Cisterna, Manuel Blanco-Velasco, Rebeca Goya-Esteban, Sergio Munoz-Romero, Margarita Sanroman-Junquera, Arcadi Garcia-Alberola, Jose Luis Rojo-Alvarez
Article
Chemistry, Analytical
Raul Caulier-Cisterna, Margarita Sanroman-Junquera, Sergio Munoz-Romero, Manuel Blanco-Velasco, Rebeca Goya-Esteban, Arcadi Garcia-Alberola, Jose Luis Rojo-Alvarez
Article
Chemistry, Analytical
Fausto Garcia-Gangoso, Manuel Blanco-Velasco, Fernando Cruz-Roldan
Summary: This paper aims to formulate the physical layer of broadband and narrowband power line communication systems for Smart Grid and Internet of Things applications, with a mathematical formulation using matrices for transmitter and receiver systems based on windowed OFDM. The proposed formulation is essential for obtaining the input-output relation and analyzing interference in the system, facilitating the simulation and design of PLC systems. Through analyzing four possible schemes with window functions, the paper explores different receiver configurations and evaluates their performance in terms of bit error and achievable data rates using artificial and real noises.
Article
Engineering, Electrical & Electronic
Maria Elena Dominguez-Jimenez, David Luengo, Gabriela Sansigre-Vidal, Fernando Cruz-Roldan
Summary: This paper proposes a novel multicarrier modulation scheme based on the Type-I even discrete cosine transform, achieving accurate channel estimation and signal reconstruction using the MIRA process without knowing the length of the channel's impulse response. The numerical simulations demonstrate excellent performance of the proposed approach in terms of channel estimation and recovery of transmitted information.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Telecommunications
Freddy A. Pinto-Benel, Manuel Blanco-Velasco, Fernando Cruz-Roldan
Summary: Wavelet orthogonal frequency division multiplexing (OFDM) is a recommended medium access technique by IEEE 1901 for broadband communications over electrical networks and IoT applications. The system performance and trade-off between stopband attenuation and transition bandwidth were studied when using other waveforms, with an alternative and more efficient method shown for obtaining the theoretical expressions of achievable data rate. Simulation results of symbol error rate and data rate in various platform scenarios were demonstrated to showcase the capabilities of wavelet OFDM.
VEHICULAR COMMUNICATIONS
(2021)
Review
Chemistry, Analytical
Lisandro Lovisolo, Fernando Cruz-Roldan, Manuel Blanco-Velasco
Summary: This article explores the potential and feasibility of using power line infrastructure for positioning purposes. It reports different technologies and methods, and suggests possible directions for further research and development.
Article
Multidisciplinary Sciences
Miriam Gutierrez Fernandez-Calvillo, Rebeca Goya-Esteban, Fernando Cruz-Roldan, Antonio Hernandez-Madrid, Manuel Blanco-Velasco
Summary: A novel machine learning approach for T-wave alternans (TWA) detection is proposed in this study, along with a complete experimental setup for benchmarking different methods. The results show that the decision tree algorithm performs the best in terms of accuracy, precision, recall, and F1 score. Compared to the benchmark method, this approach achieves improvements in all metrics.
Review
Computer Science, Interdisciplinary Applications
Roberto Holgado-Cuadrado, Carmen Plaza-Seco, Lisandro Lovisolo, Manuel Blanco-Velasco
Summary: Noise and artifacts strongly affect the quality of the ECG in long-term monitoring, making some parts impractical for diagnosis. Clinical severity of noise is defined qualitatively by clinicians, unlike the traditional quantitative assessment. This study proposes the use of machine learning techniques to categorize different qualitative noise severity using a gold standard annotated database, achieving good classification performance.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
S. Zurita-Zurita, Francisco J. Escribano, J. Saez-Landete, J. A. Rodriguez-Manfredi
Summary: This article analyzes the application of two alternative methods, DWT and HHT, to process temperature sensor measurements from the Mars Science Laboratory. The results show that the DWT method is more suitable for this application, providing better fitting for all realistic scenarios.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
