166 Works

Verbal Detection Error Tradeoff (DET)

Andreas Nautsch, Didier Meuwly, Daniel Ramos, Jonas Lindh & Christoph Busch
The code is our recommendation to security-oriented applications for visualizing error-tradeoff alongside discrimination risk performance within DET plots, assuming optimal calibration. This software is under h_da license, i.e. please reference our work - besides that this code is free, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. The code is based on the sidekit implementation of the bosaris toolkit SIDEKIT: http://www-lium.univ-lemans.fr/sidekit BOSARIS: https://sites.google.com/site/bosaristoolkit For LaTeX support,...

MATLAB Code and Data for: Locally Weighted Ensemble Clustering

Dong Huang, Chang-Dong Wang & Jian-Huang Lai
In this package, we provide the Matlab source code and experimental data for the ensemble clustering algorithms in our IEEE TCYB paper. If you find the code and data useful for your research, please cite the paper below. Dong Huang, Chang-Dong Wang, Jian-Huang Lai. Locally Weighted Ensemble Clustering. IEEE Transactions on Cybernetics, accepted, 2017. DOI: 10.1109/TCYB.2017.2702343

Analytical approach to transforming filter design for sound field recording and reproduction using circular arrays with a spherical baffle

Shoichi Koyama, Ken'ichi Furuya, Keigo Wakayama, Suehiro Shimauchi & Hiroshi Saruwatari
A sound field recording and reproduction method using circular arrays of microphones and loudspeakers with a spherical baffle is proposed. The spherical baffle is an acoustically rigid object on which the microphone array is mounted. The driving signals of the loudspeakers must be obtained from the signals received by the microphones. A transform filter for this signal conversion is analytically derived, which is referred to as the wave field reconstruction filter. The proposed method using...

Missing spectrum-data recovery in cognitive radio networks using piecewise constant nonnegative matrix factorization

Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi & Nazanin Rahnavard
In this paper, we propose a missing spectrum data recovery technique for cognitive radio (CR) networks using Nonnegative Matrix Factorization (NMF). It is shown that the spectrum measurements collected from secondary users (SUs) can be factorized as product of a channel gain matrix times an activation matrix. Then, an NMF method with piecewise constant activation coefficients is introduced to analyze the measurements and estimate the missing spectrum data. The proposed optimization problem is solved by...

Curved shape representation

Girum Demisse, Djamila Aouada & Bjorn Ottersten
The software is implementation of curved shape representation concepts discussed in "Deformation Based Curved Shape Representation", TPAMI, in press.

Short-Time Fourier Transform with the Window Size Fixed in the Frequency Domain (STFT-FD): Code

Carlos Mateo Domingo & Juan Antonio Talavera Martín
The Short-Time Fourier Transform (STFT) can be used to convert signals whose frequency content changes over time into the time-frequency domain. This software package computes the Short Time Fourier Transform with the Window Size Fixed in The Frequency Domain (STFT-FD) for three signals, including a synthetic signal, a two linear chirp signal and an electrocardiogram.

Multi-Scale Patch-Based Image Restoration - Super Resolution

Vardan Papyan & Michael Elad
Many image restoration algorithms in recent years are based on patch-processing. The core idea is to ecompose the target image into fully overlapping patches, restore each of them separately, and then merge the results by a plain averaging. This concept has been demonstrated to be highly effective, leading often times to state-of-the-art results in denoising, inpainting, deblurring, segmentation, and other applications. While the above is indeed effective, this approach has one major flaw: the prior...

LOWESS analysis for visualization of GEDDs

Long H. Do, William C. Mobley & Nishant Singhal
In our published finding (Do et al. 2015), we find evidence against domains of genome-wide gene dysregulation (GEDDs) in the Down syndrome mouse model and DS human iPSCs as compared to original findings from Letourneau et al. 2014. We have supplied the following script to allow other investigators to quickly visualize and compare their RNAseq gene expression datasets to search for corresponding GEDDs. The script performs a locally weighted scatterplot smoothing (LOWESS) analysis of RNAseq...

Adaptive Surround Modulation

Arash Akbarinia
In this article we have addressed the problem of colour constancy through a biologically-inspired centre-surround modulation. In our dynamic algorithm we account for the contrast variability of receptive fields typical of our visual cortex.

Minimum Mean Brightness Error Bi-Histogram Equalization for Real Time Image Enhancement

Rajiv Tripathi & Tirupathi Raju Kanumuri
Minimum mean brightness error bi histogram equalization is used for image enhancement because of it’s optimal brightness preservation capability. Due to calculation of absolute mean brightness error at each gray level this technique need to repeat bi histogram equalization for all the gray levels present in the image. Computation time for this technique increase drastically with the size of image, which is not suitable for real time applications. In this paper, an algorithm has been...

Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non stationary signals

Boualem Boashash & Samir Ouelha
The scripts provided here can be used to reproduce most of the figures that appear in the following paper: "Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non stationary signals". The main feature selection and classification codes as well as the TFSAP 7.1 toolbox source code can also be found on the following GitHub repository: https://github.com/Prof-Boualem-Boashash/TFSAP-7.1-software-package

MAPS: Optimized GPU and Multi-GPU Programming Framework

Tal Ben-Nun, Ely Levy, Amnon Barak & Eri Rubin
MAPS (Memory Access Pattern Specification) is an open-source, header-only C++ CUDA template library for automatic multi-GPU programming and optimization of GPU kernels, implementing the Memory-Oriented Programming model. The framework leverages memory access patterns to provide near-optimal performance on various architectures. Using MAPS: - Automatically produces optimized GPU code - Separates complex indexing and shared memory optimizations from the algorithm - Transparently manages multi-GPU memory segmentation and inter-GPU communication - Provides familiar STL-based interfaces (containers and...

SIFTpack: a compact representation for efficient SIFT matching

Alexandra Gilinsky & Lihi Zelnik-Manor
Computing distances between large sets of SIFT descriptors is a basic step in numerous algorithms in computer vision. When the number of descriptors is large, as is often the case, computing these distances can be extremely time consuming. We propose the SIFTpack: a compact way of storing SIFT descriptors, which enables significantly faster calculations between sets of SIFTs than the current solutions. SIFTpack can be used to represent SIFTs densely extracted from a single image...

16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model

Ruibang Luo
16GT is a variant caller utilizing a 16-genotype probabilistic model to unify SNP and indel calling in a single algorithm. 16GT is easy to use. The default parameters will fit most of the use cases with human genome. For the detailed parameters for each module, please run the module to get an info.

NoSE: NoSQL Schema Evaluator

Michael J. Mior, Kenneth Salem, Ashraf Aboulnaga & Rui Liu
This algorithm comprises the core of NoSE: a schema design tool for NoSQL databases. More information is available at https://michael.mior.ca/projects/nose/.

Channel Training for Analog FDD Repeaters: Optimal Estimators and Cramér-Rao Bounds

Stefan Wesemann & Thomas Marzetta
For frequency division duplex channels, a simple pilot loop-back procedure has been proposed that allows the estimation of the UL & DL channels at an antenna array without relying on any digital signal processing at the terminal side. For this scheme, we derive the maximum likelihood (ML) estimators for the UL & DL channel subspaces, formulate the corresponding Cramér-Rao bounds and show the asymptotic efficiency of both (SVD-based) estimators by means of Monte Carlo simulations....

Multi-Scale Patch-Based Image Restoration - Denoising

Vardan Papyan & Michael Elad
Many image restoration algorithms in recent years are based on patch-processing. The core idea is to ecompose the target image into fully overlapping patches, restore each of them separately, and then merge the results by a plain averaging. This concept has been demonstrated to be highly effective, leading often times to state-of-the-art results in denoising, inpainting, deblurring, segmentation, and other applications. While the above is indeed effective, this approach has one major flaw: the prior...

Direct localization for massive MIMO

Nil Garcia, Henk Wymeersch, Erik G. Larsson, Alexander M. Haimovich & Martial Coulon
Large-scale MIMO systems are well known for their advantages in communications, but they also have the potential for providing very accurate localization, thanks to their high angular resolution. A difficult problem arising indoors and outdoors is localizing users over multipath channels. Localization based on angle of arrival (AOA) generally involves a two-step procedure, where signals are first processed to obtain a user's AOA at different base stations, followed by triangulation to determine the user's position....

DRAMSim2 - A cycle accurate DRAM simulator modified for row-buffer caching

Zhao Zhang, Zhichun Zhu & Xiaodong Zhang
Reproducibility experimentation for "A permutation-based page interleaving scheme to reduce row-buffer conflicts and exploit data locality" that uses a modified DRAMSim2 to simulate SPEC CPU benchmarks with an interleaved row-buffer addressing scheme.

Transient Interference Suppression in Speech Signals Based on The OM_LSA Algorithm

Ariel Hirszhorn, David Dov, Ronen Talmon & Israel Cohen
Typical transient interferences, e.g. door knocks and keyboard tapping, are short in time, widely spread across the frequency domain, and have an abrupt nature. Thus, traditional speech enhancement techniques that use temporal smoothing to estimate the power spectral density (PSD) of the interference are inadequate. In this paper, we present a speech enhancement algorithm that suppresses transient interferences and pseudo-stationary background noise. The algorithm comprises an estimation of the transient and the pseudostationary noise PSDs,...

Sensorless Control Algorithm for Biventricular Assist Devices

Guruprasad. A. Giridharan & Yu Wang
(c) 2017, Guruprasad A. Giridharan PhD, and Yu Wang, PhD. All rights reserved This code is used to simulate the manuscript "Sensorless Physiologic Control, Suction Prevention, and Flow Balancing Algorithm for Rotary Biventricular Assist Devices", to the IEEE Transactions on Control Systems Technology. Manuscript ID: TCST-2017-0562.R1 Authors: Yu Wang, Steven C. Koenig, Zhongjun J. Wu, Mark S. Slaughter, and Guruprasad A. Giridharan This code includes the main and model function file, it requires savgol.m, Kalman.m...

Boosted Korkine-Zolotarev (KZ) and Lenstra–Lenstra–Lovász (LLL) algorithms

Shanxiang Lyu & Cong Ling
There exists two issues among popular lattice reduction (LR) algorithms that should cause our concern. The first one is Korkine-Zolotarev (KZ) and Lenstra–Lenstra–Lovász (LLL) algorithms may increase the lengths of basis vectors. The other is KZ reduction suffers much worse performance than Minkowski reduction in terms of providing short basis vectors, despite its superior theoretical upper bounds. To address these limitations, we improve the size reduction steps in KZ and LLL to set up two...

Generation of private sound with a circular loudspeaker array and the Weighted Pressure Matching method

Ferdinando Olivieri, Filippo Maria Fazi, Simone Fontana, Dylan Menzies & Philip Arthur Nelson
MATLAB code and data for the paper "Generation of private sound with a circular loudspeaker array and the Weighted Pressure Matching Method." In this paper, we propose a system for private sound which is based on the weighted pressure matching method (WPMM). The aim is to design the input signals to an array of loudspeakers that allow for the synthesis of a target field defined with large amplitude variations between the so-called dark points and...

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