20 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…
Bente Konst, Jacob Nøtthellen, Stine Nalum Naess, Magnus Båth
2.1### Recursive algorithm Recursive filtering is applied to reduce noise by averaging frames. In terms of noise, simple averaging of four frames is comparable to increasing the dose by a factor of 4 and will reduce the quantum mottle by a factor of 2. A frame is defined as the signal from one pulse, whereas an image…
Alexander A. Zamyatin
– The proposed method reduces non-uniform sample variance to the pre-determined target level. The space-variant filter can equalize variance of the nonstationary signal, or vary filtering strength based on image features, such as edges, etc., as shown by applications in this work. The proposed approach computes the…
Steven Van Vaerenbergh, Simone Scardapane, Ignacio Santamarı́a
—In kernel methods, temporal information on the data is commonly included by using time-delayed embeddings as inputs. Recently, an alternative formulation was proposed by defining a γ-filter explicitly in a reproducing kernel Hilbert space, giving rise to a complex model where multiple kernels operate on different…
Wei-Der Chang
This paper develops a new design scheme for the phase response of an all-pass recursive digital filter. A variant of particle swarm optimization (PSO) algorithm will be utilized for solving this kind of filter design problem. It is here called the modified PSO (MPSO) algorithm in which another adjusting factor is more…
Gunther Eysenbach, Li Zhang, Edith Leclercq, Nader Shaikh + 6 more
'Robert G Badgett' 'Mina Pi' 'Nancy L Wilczynski' 'K. Ann McKibbon' 'Andrea M Ketchum' 'R. Brian Haynes'] Background Efficiently finding clinical examination studies-studies that quantify the value of symptoms and signs in the diagnosis of disease-is becoming increasingly difficult. Filters developed to retrieve…
Huan-Kai Peng, Radu Marculescu, Sergio Gómez
To capture the compositional structure of social dynamics across different scales, we now introduce RCBM, a hierarchical architecture constructed by stacking together multiple CBM’s, as illustrated in [pone.0118309.g002]. For some new notations, we use l to represent any variable at the l-th level, including X*l (input…
Hugh L. Kennedy
Shape- and scale-selective digital-filters, with steerable finite/infinite impulse responses (FIR/IIRs) and non-recursive/recursive realizations, that are separable in both spatial dimensions and adequately isotropic, are derived. The filters are conveniently designed in the frequency domain via derivative constraints…
Wu Zhu, Jian-an Fang, Yang Tang, Wenbing Zhang + 2 more
'Jérémie Bourdon'] Design of a digital infinite-impulse-response (IIR) filter is the process of synthesizing and implementing a recursive filter network so that a set of prescribed excitations results a set of desired responses. However, the error surface of IIR filters is usually non-linear and multi-modal. In order…
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…
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…
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…
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…
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…
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…
Authors not listed
Filters are ubiquitous in computer science, enabling space-efficient approximate membership testing. Since Bloom filters were introduced in 1970, decades of work have improved their space efficiency and performance. Recently, three new paradigms have emerged that offer orders-of-magnitude improvements in false positive…
Mark Sinzger-D’Angelo, Heinz Koeppl
Cellular processes are open systems, situated in a heterogeneous context, rather than operating in isolation. Chemical reaction networks (CRNs) whose reaction rates are modelled as external stochastic processes account for the heterogeneous environment when describing the embedded process. A marginal description of the…
Daniel Gramm Kristensen, Kristian Sandberg
Visual receptive fields are characterised by their centre-surround organisation and are typically modelled by Difference-of-Gaussians (DoGs)^1^. The DoG captures the effect of surround modulation, where the central receptive field can be modulated by simultaneous stimulation of a surrounding area^2–5^. Although it is…