21 papers · ranked by Valyu relevance
Coleman DeLude, Santhosh Karnik, Mark Davenport, Justin Romberg
In modern applications multi-sensor arrays are subject to an ever-present demand to accommodate signals with higher bandwidths. Standard methods for broadband beamforming, namely digital beamforming and true-time delay, are difficult and expensive to implement at scale. In this work, we explore an alternative method of…
Adam Whipple, Mark W. Ruzindana, Mitchell C. Burnett, Jakob W. Kunzler + 3 more
'Jakob W. Kunzler' 'Kayla Lyman' 'Brian D. Jeffs' 'Karl F. Warnick'] Wideband beamforming and interference cancellation for phased array antennas requires advances in signal processing algorithms, software, and specialized hardware platforms. A high-throughput array receiver has been developed that enables…
Ali Ahmed, Fahad Shamshad, Humera Hameed
This paper considers efficient sampling of simultaneously sparse and correlated (S&C) signals for automotive radar application. We propose an implementable sampling architecture for the acquisition of S&C at a sub-Nyquist rate. We prove a sampling theorem showing exact and stable reconstruction of the acquired signals…
Peter Vouras, Kumar Vijay Mishra, Alexandra B. Artusio‐Glimpse, Samuel Pinilla + 3 more
'Samuel Pinilla' 'Angeliki Xenaki' 'David Wark Griffith' 'Karen Egiazarian'] Abstract—Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of a single sensor alone, are leading to novel research…
B. S. Girish, Harshavardhan Reddy S., Shiv K. Sethi, K. S. Srivani + 13 more
'R. Abhishek' 'B. Ajithkumar' 'Sahana Bhattramakki' 'Kaushal D. Buch' 'Sandeep K. Chaudhuri' 'Yashwant Gupta' 'P. A. Kamini' 'Sanjay Kudale' 'S. Madhavi' 'Mekhala Muley' 'T. Prabu' 'A. Raghunathan' 'Shelton G. J'] Girish B. S.1,*, Harshavardhan Reddy S.3 , Shiv Sethi2 , Srivani K. S.1 , Abhishek R.1 , Ajithkumar B.3 …
Krutant J. Mehta, Inder J. Gupta, Stefano Savazzi
In this paper, we establish criteria for the design of small aperture antenna arrays for Direction of Arrival (DOA) estimation. We define a small aperture antenna array as one consisting of a few elements with an average interelement spacing less than or equal to half a wavelength. We use the spatial covariance matrix…
Chin Hong Ooi, Nam-Trung Nguyen, Gregor Kijanka
Protein arrays are systematically arranged, large collections of annotated proteins on planar surfaces commonly used for the characterisation of protein binding events against a wide range of possible probes. These may include analyses of protein-protein, peptide-protein, enzyme-substrate or antibody-antigen…
Jonas Oberste-Frielinghaus, Aitor Morales-Gregorio, Simon Essink, Alexander Kleinjohann + 4 more
Current electrophysiology experiments often involve massively parallel recordings of neuronal activity using multi-electrode arrays. While researchers have been aware of artifacts arising from electric cross-talk between channels in setups for such recordings, systematic and quantitative assessment of the effects of…
Dragan Golubović, Miljko Erić, Nenad Vukmirović, Akanksha Bhutani + 1 more
'Mario Pauli'] In this paper, we present a new high-resolution algorithm for primary signal processing in High Frequency Surface Wave Radar (HFSWR). The algorithm has been developed to achieve and improve primary signal processing performance in existing HFSWR radars in terms of radar target detection. The proposed…
Jie Wang, Shujuan Ding, Na Wei, Jinzhi Bi + 2 more
To suppress non-stationary main-lobe interference, we utilized the waveform information of the transmitted signal and proposed an interference suppression method based on a multi-polarized array without the need for calculating the target parameters. This method calculates the steering vector of the target through…
Jonas Oberste-Frielinghaus, Aitor Morales-Gregorio, Simon Essink, Alexander Kleinjohann + 7 more
Contemporary electrophysiology experiments often involve massively parallel recordings of neuronal activity using multi-electrode arrays. While researchers have been aware of artifacts arising from electric cross-talk between channels in setups for such recordings, systematic and quantitative assessment of the effects…
Chanhee Bae, Seongjoo Lee, Yunho Jung, Ali Khenchaf
This paper proposes a high-speed continuous wavelet transform (CWT) processor to analyze vital signals extracted from a frequency-modulated continuous wave (FMCW) radar sensor. The proposed CWT processor consists of a fast Fourier transform (FFT) module, complex multiplier module, and inverse FFT (IFFT) module. For…
Authors not listed
The task of separating a superposition of signals into its individual components is a common challenge encountered in various signal processing applications, especially in domains such as audio and radar signals. A previous paper by Chui and Mhaskar proposes a method called Signal Separation Operator (SSO) to find the…
Lukas P. A. Arts, Egon. L. van den Broek
The spectral analysis of signals is currently either dominated by the speed-accuracy trade-off or ignores a signal’s often non-stationary character. Here we introduce an open-source algorithm to calculate the fast continuous wavelet transform (fCWT). The parallel environment of fCWT separates scale-independent and…
Lukas Hecker, Amita Giri, Dimitrios Pantazis, Amir Adler
Magnetoencephalography (MEG) and electroencephalography (EEG) are widely employed techniques for the in-vivo measurement of neural activity with exceptional temporal resolution. Modeling the neural sources underlying these signals is of high interest for both neuroscience research and pathology. The method of…
Richard Yang, Heather D. Orser, Kip A. Ludwig, Brandon S. Coventry
Digital implementations of discrete Fourier transforms (DFT) are a mainstay in feature assessment of recorded biopotentials, particularly in the quantification of biomarkers of neurological disease state for adaptive deep brain stimulation. Fast Fourier transform (FFT) algorithms and architectures present a substantial…
Dmitrii Zendrikov, Sergio Solinas, Giacomo Indiveri
Neuromorphic processing systems implementing spiking neural networks with mixed signal analog/digital electronic circuits and/or memristive devices represent a promising technology for edge computing applications that require low power, low latency, and that cannot connect to the cloud for off-line processing, either…
Josiah W. Smith, Murat Torlak
Three-dimensional (3-D) synthetic aperture radar (SAR) is widely used in many security and industrial applications requiring high-resolution imaging of concealed or occluded objects. The ability to resolve intricate 3-D targets is essential to the performance of such applications and depends directly on system…
Jaehyeon Lee, Dongmin Jeong, Seongwook Lee, Myeongjin Lee + 3 more
'Wookyung Lee' 'Yunho Jung' 'Mateusz Malanowski'] Synthetic aperture radar (SAR), which can generate images of regions or objects, is an important research area of radar. The chirp scaling algorithm (CSA) is a representative SAR imaging algorithm. The CSA has a simple structure comprising phase compensation and fast…
Paul Morris, Cory Simon
In many gas sensing tasks, we simply wish to become aware of gas compositions that deviate from normal, "business-as-usual" conditions. We provide a methodology, illustrated by example, to computationally predict the performance of a gas sensor array design for detecting anomalous gas compositions. Specifically, we…
Authors not listed
When producing plant-protein-based meat analogues via high moisture extrusion (HME), the structure of extrudates is determined by complex interactions between ingredient composition and processing conditions. To facilitate consumers in their transition towards a diet higher in plant-based proteins, the food industry…