19 papers · ranked by Valyu relevance
Jonathan H. Manton
where Z denotes the integers. Textbooks call this a recursive filter or an infinite impulse-response (IIR) filter. In a statistical context, it is known as an autoregressive model. The input x[k] is a doubly-infinite sequence of complex-valued numbers: x[k] ∈ C for −∞ < k < ∞. The output y[k] is not unique unless we…
Hugh L. Kennedy
A simple procedure for the design of recursive digital filters with an infinite impulse response (IIR) and non-recursive digital filters with a finite impulse response (FIR) is described. The fixed-lag smoothing filters are designed to track an approximately polynomial signal of specified degree without bias at steady…
V. Joseph Michael Jerard, M. Thilagaraj, K. Pandiaraj, M. Easwaran + 2 more
Recent advances in electronics and microelectronics have aided the development of low-cost devices that are widely used as well-being or preventive monitoring devices by many people. Remote health monitoring, which includes wearable sensors, actuators, and modern communication and information systems, offers effective…
Chin-Yun Yu, Christopher Mitcheltree, Alistair Carson, Stefan Bilbao + 2 more
'Joshua D. Reiss' 'György Fazekas'] Infinite impulse response filters are an essential building block of many time-varying audio systems, such as audio effects and synthesisers. However, their recursive structure impedes end-toend training of these systems using automatic differentiation. Although non-recursive filter…
Michael Färber
jq is a widely used tool that provides a programming language to manipulate JSON data. However, its semantics are currently only specified by its implementation, making it difficult to reason about its behaviour. To this end, I provide a syntax and denotational semantics for a subset of the jq language. In particular…
Edward L. Valachovic, Agbotiname Lucky Imoize
This work introduces an extension of the iterated moving average filter, called the Extended Kolmogorov-Zurbenko (EKZ) filter for time series and spatio-temporal analysis. The iterated application of a central simple moving average (SMA) filter, also known as a Kolmogorov-Zurbenko (KZ) filter, is a low-pass filter…
Daniela Martins, Arnaldo Batista, Helena Mouriño, Sara Russo + 6 more
'Filipa Esgalhado' 'Catarina R. Palma dos Reis' 'Fátima Serrano' 'Manuel Ortigueira' 'Behnaz Ghoraani' 'Yunfeng Wu'] The electrohysterogram (EHG) is the uterine muscle electromyogram recorded at the abdominal surface of pregnant or non-pregnant woman. The maternal respiration electromyographic signal (MR-EMG) is one of…
Anand R, Sathishkumar Samiappan, M. Prabukumar
The design of optimum filters constitutes a fundamental aspect within the realm of signal processing applications. The process entails the calculation of ideal coefficients for a filter in order to get a passband with a flat response and an unlimited level of attenuation in the stopband. The objective of this work is…
Daniel Barter, Evan Walter Clark Spotte-Smith, Nikita S. Redkar, Shyam Dwaraknath + 2 more
Chemical reaction networks (CRNs) are powerful tools for obtaining mechanistic insight into complex reactive processes. However, they are limited in their applicability where reaction mechanisms are not well understood and products are unknown. Here we report new methods of CRN generation and analysis that overcome…
Yichi Zhang, Christian Cuba Samaniego, Katelyn Carleton, Yili Qian + 2 more
Engineered genetic circuits with tailored functions that mimic how cells process information in changing environments (e.g. cell fate decision, chemotaxis, immune response) have great applications in biomedicine and synthetic biology. Although there is a lot of progress toward the design of gene circuits yielding…
Navid Eslami, Niv Dayan
Range filters are probabilistic data structures that answer approximate range emptiness queries. They aid in avoiding processing empty range queries and have use cases in many application domains such as key-value stores and social web analytics. However, current range filters do not support dynamically changing and…
Shuxin Liu, Xinzhi Qi, Chaojian Xing, Xin Ming + 2 more
'Caio Bezerra Souto Maior'] When conducting condition recognition research on AC contactor vibration signals through time-frequency analysis, the feature data exhibit a high degree of redundancy, which leads to repetitive information and hinders the accuracy of recognition. To address the redundancy issue in the…
Radu Matei, Doru Florin Chiper, Stelios Krinidis, Christos Nikolaos E. Anagnostopoulos
'Christos Nikolaos E. Anagnostopoulos'] This paper proposes an analytical design procedure for 2D FIR circular filter banks and also a novel, computationally efficient implementation of the designed filter bank based on a polyphase structure and a block filtering approach. The component filters of the bank are designed…
Justin Kim, Rahul Varki, Marco Oliva, Christina Boucher
The RePair compression algorithm produces a context-free grammar by iteratively substituting the most frequently occurring pair of consecutive symbols with a new symbol until all consecutive pairs of symbols appear only once in the compressed text. It is widely used in the settings of bioinformatics, machine learning…
Authors not listed
Accurately modeling the dynamics of open quantum systems is critical for advancing quantum technologies, yet traditional methods often struggle with balancing accuracy and efficiency. Machine learning (ML) offers a promising alternative, particularly through recursive models that predict system evolution based on the…
Yi-Ting Chang
Convolutional neural networks have achieved remarkable success in computer vision research. However, to further improve their performance, network models have become increasingly complex and require more memory and computational resources. As a result, model compression has become an essential area of research in…
Authors not listed
Protein kinases play a crucial role in key regulatory cell processes and are known to be dysregulated in diseases such as cancer and autoimmune disorders. Hence, protein kinases represent a vital drug target class. To meet the challenge of designing novel kinase inhibitors, fragment-based drug discovery (FBDD) has…
Adriano R. Lameira, Madeleine E. Hardus, Andrea Ravignani, Teresa Raimondi + 1 more
Recursive procedures that allow placing a vocal signal inside another of similar kind provide a neuro-computational blueprint for syntax and phonology in spoken language and human song. There are, however, no known vocal patterns among nonhuman primates arranged in self-embedded combinations that evince vocal recursion…
Guanghui Zhang, David R. Garrett, Steven J. Luck
Filtering plays an essential role in event-related potential (ERP) research, but filter settings are usually chosen on the basis of historical precedent, lab lore, or informal analyses. This reflects, in part, the lack of a well-reasoned, easily implemented method for identifying the optimal filter settings for a given…