Novel GCC-PHAT Model in Diffuse Sound Field for Microphone Array Pairwise Distance Based Calibration

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Point clouds are effective data structures for the rep- resentation of three-dimensional media and hence adopted in a wide range of practical applications. In many cases, the portrayed data is expected to be visualized by humans. After acquisition, point c ...

Claude Debussy’s personal style is typically characterised as a departure from earlier diatonic tonality, including a greater variety of pitch-class materials organised in fragmented yet coherent compositions. Exploiting the music-theoretical interpretabil ...

We present FITCOV an approach for accurate estimation of the covariance of two-point correlation functions that requires fewer mocks than the standard mock-based covariance. This can be achieved by dividing a set of mocks into jackknife regions and fitting ...

Fluid antenna systems (FAS) are an emerging technology that promises a significant diversity gain even in the smallest spaces. It consists of a freely moving antenna in a small linear space to pick up the strongest received signal. Previous works in the li ...

The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and function, i ...

We provide a computationally and statistically efficient method for estimating the parameters of a stochastic covariance model observed on a regular spatial grid in any number of dimensions. Our proposed method, which we call the Debiased Spatial Whittle l ...

Unknown-input observers (UIOs) allow for estimation of the states of an LTI system without knowledge of all inputs. In this letter, we provide a novel data-driven UIO based on behavioral system theory and the result known as Fundamental Lemma proposed by J ...

The acoustics of a room often refer to the quality of the room in terms of sound recording as well as sound reproduction. At low frequencies, where the wavelengths are of the same order of magnitude with the dimensions of the room, due to the standing wave ...

We generate a biphoton frequency comb from an integrated 40.4 GHz silicon nitride microring and probe the phase coherence through electro-optic mixing of the frequency bins followed by time-resolved detection of the time-correlation function. (c) 2021 The ...

Functional time series is a temporally ordered sequence of not necessarily independent random curves. While the statistical analysis of such data has been traditionally carried out under the assumption of completely observed functional data, it may well ha ...

The article provides a new channel-based current function, which aims at faithfully reproducing the salient parameters of lightning currents. All the model parameters can be set in a fully analytical way, guaranteeing the possibility of changing them (acco ...

Stochastic Maximum Likelihood (SML) is a popular direction of arrival (DOA) estimation technique in array signal processing. It is a parametric method that jointly estimates signal and instrument noise by maximum likelihood, achieving excellent statistical ...

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Walsh-Hadamard based orthogonal sampling of signals is studied in this paper, and an application of this technique is presented. Using orthogonal sampling, a single analog-to-digital converter (ADC) only is sufficient to perform parallel (simultaneous) rec ...

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We measure the anisotropic clustering of the quasar sample from Data Release 16 (DR16) of the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey (eBOSS). A sample of 343 708 spectroscopically confirmed quasars between redshift 0.8 ...

The present paper discusses the climatic effects of humidity and temperature on cochlear implant functioning and the quality of the electrical sound signal. MATLAB Simulink simulations were prepared, offering insights into signal behavior under such climat ...

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The increasing integration of intermittent renewable generation, especially at the distribution level, necessitates advanced planning and optimisation methodologies contingent on the knowledge of the admittance matrix, capturing the topology and line param ...

A chloride mini-migration method is proposed to estimate effective diffusion coefficients at the scale of the cement paste and to investigate mechanisms with complementary microstructure analyses on the same material. Blended-cement pastes with a wide rang ...

Novel GCC-PHAT Model in Diffuse Sound Field for Microphone Array Pairwise Distance Based Calibration

Chattez avec Graph Search

Towards a multiscale point cloud structural similarity metric

The diachronic development of Debussy’s musical style: a corpus study with Discrete Fourier Transform

The two-point correlation function covariance with fewer mocks

A New Analytical Approximation of the Fluid Antenna System Channel

Community-based reconstruction and simulation of a full-scale model of region CA1 of rat hippocampus

The Debiased Spatial Whittle likelihood

Data-Driven Unknown-Input Observers and State Estimation

Sound Field Reconstruction in a room through Sparse Recovery and its application in Room Modal Equalization

Time-resolved detection of phase-coherent biphoton frequency combs from Si3N4 microring

Sparsely Observed Functional Time Series: Theory and Applications

A New Channel-Base Lightning Current Formula With Analytically Adjustable Parameters

SiML: Sieved Maximum Likelihood for Array Signal Processing

Sampling Geometry and Colour

Walsh-Hadamard-Based Orthogonal Sampling Technique for Parallel Neural Recording Systems

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: BAO and RSD measurements from anisotropic clustering analysis of the quasar sample in configuration space between redshift 0.8 and 2.2

Electrical Signal Modeling in Cochlear Implants. Study of Temperature and Humidity Effects

Statistical limits of high-dimensional inference problems

Bayesian Methods for the Identification of Distribution Networks

Unravelling chloride transport/microstructure relationships for blended-cement pastes with the mini-migration method