Sparse signals - PowerPoint PPT Presentation


Cognitive Load Classification with 2D-CNN Model in Mental Arithmetic Task

Cognitive load is crucial in assessing mental effort in tasks. This paper discusses using EEG signals and a 2D-CNN model to classify cognitive load during mental arithmetic tasks, aiming to optimize performance. EEG signals help evaluate mental workload, although they can be sensitive to noise. The

0 views • 19 slides


ACEA TF-ACSI Work on Exterior Acoustic Signaling Report

The report details the work of ACEA Task Force Acoustic Signaling in harmonizing requirements, defining characteristics, and creating a framework for exterior acoustic signals. It encompasses reviewing regulations, clustering acoustic signaling functions, and prioritizing management. The objective i

5 views • 9 slides



Understanding Data Acquisition and Instrument Interface

In the realm of data acquisition and instrument interface, various components come together to sense physical variables, condition electrical signals, convert analog to digital data, and analyze the acquired information. This process involves transducers, signal analysis, instrument automation, and

4 views • 54 slides


Reinventing WiFi Signals for Accurate Indoor Localization with BIFROST

This research by the Tsinghua SUN Group introduces BIFROST, a novel approach that reinvents WiFi signals based on dispersion effect to enable precise indoor localization. The study addresses the challenge of limited line-of-sight (LoS) access points in indoor environments through Frequency and Spati

3 views • 26 slides


RLL Design and Sequencing System Overview

Common industrial sequences in RLL design and sequencing systems involve single path or multi-path approaches. Control signals can be sustain or non-sustain, impacting the system's memory. Sequence charts help visualize system operations, aiding in RLL design. Techniques like the CASCADE method are

13 views • 24 slides


Understanding Telecommunications Transmission Systems

Transmission systems in telecommunications provide circuits between network nodes using channels for bidirectional communication. Channels can range from simple audio circuits to complex satellite systems. Signals can be analog or digital, each with its unique characteristics. Bandwidth is crucial f

0 views • 32 slides


Understanding Laplace Interpolation for Sparse Data Restoration

Laplace Interpolation is a method used in CSE 5400 by Joy Moore for interpolating sparse data points. It involves concepts such as the mean value property, handling boundary conditions, and using the A-times method. The process replaces missing data points with a designated value and approximates in

1 views • 13 slides


Understanding D Latches and Flip-Flops in Digital Systems

Digital systems rely on storage elements like D latches and flip-flops to store key information from the past. These structures can hold values of 1 or 0 based on certain control signals, ensuring deterministic behavior. Clock signals are essential for regulating when these storage elements can upda

0 views • 15 slides


Understanding Data and Signals in Networks

Data transmission involves converting information into electromagnetic signals for communication. Analog data is continuous, like a clock's hands, while digital data is discrete, like binary code in computer memory. Signals can be analog or digital, periodic or non-periodic, with characteristics lik

0 views • 17 slides


Interfacing with Analog Signals in Embedded Systems

Exploring the conversion of analog signals from the physical world into electrical signals using transducers in embedded systems. Learn about going from analog to digital representation, choosing sample rates, the Shannon-Nyquist sampling theorem, importance of anti-aliasing filters, and the necessi

0 views • 18 slides


Understanding Inter-Process Communication Signals in Operating Systems

Signals in inter-process communication are asynchronous notifications delivered to specific processes, allowing event-based programming. Processes can handle signal delivery by ignoring it, terminating, or invoking a signal handler. Signal handlers can be written in two ways - one handler for many s

0 views • 21 slides


Understanding Bandwidth and Digital Signals in Computer Networks

Exploring the concept of bandwidth in computer networks, which refers to the range of frequencies in a signal, and delving into the decomposition of signals into simple sine waves using tools. Additionally, the discussion covers digital signals, their representation, and the transmission of informat

1 views • 14 slides


Clear Channel Assessment (CCA) Behavior of Commercial Wi-Fi Equipment

This document, dated July 2022, delves into the Clear Channel Assessment (CCA) behavior of commercial Wi-Fi equipment in response to Narrowband Frequency Hopping (NB FH) signals. It explores the regulatory framework around license-exempt frequency bands in the USA and Europe, highlighting the specif

0 views • 22 slides


Understanding Analog Data and Digital Signal Transmission

This lecture delves into the concepts of analog data, digital signals, and the processes involved in data transmission and digital communication. It covers topics such as Pulse Amplitude Modulation (PAM), Analog-to-Digital Conversion, and Sampling. The conversion of analog signals to digital signals

0 views • 34 slides


Overview of Point-to-Point Fiber Optic Communication System

Point-to-point fiber optic communication systems involve converting voice signals from a microphone into digital signals using a coder, transmitting light signals through a semiconductor diode laser over optical fibers, and decoding the signals back to analog for sound production. The system offers

0 views • 11 slides


Noise Sensitivity in Sparse Random Matrix's Top Eigenvector Analysis

Understanding the noise sensitivity of the top eigenvector in sparse random matrices through resampling procedures, exploring the threshold phenomenon and related works. Results highlight the impact of noise on the eigenvector's stability and reliability in statistical analysis.

0 views • 7 slides


TV Ads Signalling Success: Driving Strong Fitness, Trust, and Popularity Signals

TV ads play a crucial role in signaling success by driving strong fitness, social, trust, quality, confidence, and popularity signals among adults. The strength of these signals varies across different media channels, with television emerging as a powerful platform for engaging audiences. Fitness an

15 views • 14 slides


Understanding Sampling and Signal Processing Fundamentals

Sampling plays a crucial role in converting continuous-time signals into discrete-time signals for processing. This lecture covers periodic sampling, ideal sampling, Fourier transforms, Nyquist-Shannon sampling, and the processing of band-limited signals. It delves into the relationship between peri

1 views • 60 slides


Understanding Sparse vs. Dense Vector Representations in Natural Language Processing

Tf-idf and PPMI are sparse representations, while alternative dense vectors offer shorter lengths with non-zero elements. Dense vectors may generalize better and capture synonymy effectively compared to sparse ones. Learn about dense embeddings like Word2vec, Fasttext, and Glove, which provide effic

0 views • 44 slides


Overview of Sparse Linear Solvers and Gaussian Elimination

Exploring Sparse Linear Solvers and Gaussian Elimination methods in solving systems of linear equations, emphasizing strategies, numerical stability considerations, and the unique approach of Sparse Gaussian Elimination. Topics include iterative and direct methods, factorization, matrix-vector multi

0 views • 35 slides


Sparse Millimeter-Wave Imaging Using Compressed Sensing and Point Spread Function Calibration

A novel indoor millimeter-wave imaging system based on sparsity estimated compressed sensing and calibrated point spread function is introduced. The system utilizes a unique calibration procedure to process the point spread function acquired from measuring a suspended point scatterer. By estimating

2 views • 26 slides


Deconvolving Snow Cover and Snowfall Passive Microwave Signals

This research focuses on deconvolving snow cover and snowfall passive microwave signals using GPM data. The study employs a data-driven approach to estimate snowfall using a nested K-nearest algorithm and observed irregularities. By analyzing variations in brightness temperatures (Tbs) over snow-cov

0 views • 9 slides


EEG-Based BCI System for 2-D Cursor Control Combining Mu/Beta Rhythm and P300 Potential

Brain-computer interfaces (BCIs) offer a pathway to translate brain activities into computer control signals. This paper presents a novel approach for 2-D cursor control using EEG signals, combining the Mu/Beta rhythm and P300 potential. By simultaneously detecting two brain signals, P300 and motor

0 views • 27 slides


Effective Strategies for Locational Signals in Renewable Energy Projects

Locational signals play a crucial role in steering renewable energy project constructions to specific areas, aiding in grid optimization and resource utilization. Strategies like bid bonuses, penalties, and maximum capacity quotas help manage integration challenges and ensure sustainable deployment

0 views • 17 slides


Dynamic Load Balancing in Block-Sparse Tensor Contractions

This paper discusses load balancing algorithms for block-sparse tensor contractions, focusing on dynamic load balancing challenges and implementation strategies. It explores the use of Global Arrays (GA), performance experiments, Inspector/Executor design, and dynamic buckets implementation to optim

1 views • 32 slides


Basis Production Procedure for AGATA through GRETINA Signal Decomposition

This presentation outlines the detailed procedure for generating basis signals in the context of AGATA data processed through GRETINA signal decomposition. It covers the generation of pristine basis signals, superpulse analysis, and the creation of cross-talk corrected basis files. The process invol

0 views • 19 slides


Understanding Inter-Process Communication in Computer Architecture

Explore the key concepts of Inter-Process Communication (IPC) in computer architecture, covering topics such as signals, message queues, shared memory, and handling signals. Learn how to send and handle signals, manage never-ending programs, and control processes using utilities like kill. Dive into

0 views • 20 slides


Threaded Construction and Fill of Tpetra Sparse Linear System Using Kokkos

Tpetra, a parallel sparse linear algebra library, provides advantages like solving problems with over 2 billion unknowns and performance portability. The fill process in Tpetra was not thread-scalable, but it is being addressed using the Kokkos programming model. By utilizing Kokkos data structures

0 views • 19 slides


Embedded Computer Systems Lab 1: VGA Module Overview

This document provides an overview of Lab 1 for Embedded Computer Systems II, focusing on the VGA module and its functionalities. It includes details about the VGA module entity, its ports, clock signals, trigger voltage and time representation, channel signals, color intensities, row and column val

0 views • 18 slides


Statistical Dependencies in Sparse Representations: Exploitation & Applications

Explore how to exploit statistical dependencies in sparse representations through joint work by Michael Elad, Tomer Faktor, and Yonina Eldar. The research delves into practical pursuit algorithms using the Boltzmann Machine, highlighting motivations, basics, and practical steps for adaptive recovery

0 views • 47 slides


Volleyball Referee Hand Signals for Common Violations

Learn the essential hand signals used by volleyball referees to indicate common violations during a game. Signals include illegal alignment, line violation, illegal hit, delay of service, over the net, net foul, legal back row attack, illegal attack of serve back row attack, and illegal block/screen

0 views • 26 slides


Efficient Coherence Tracking in Many-core Systems Using Sparse Directories

This research focuses on utilizing tiny, sparse directories for efficient coherence tracking in many-core systems. By optimizing directory entries and leveraging sharing patterns, the proposed approach achieves high performance with minimal on-chip area investment. Results demonstrate significant en

0 views • 66 slides


Communication Costs in Distributed Sparse Tensor Factorization on Multi-GPU Systems

This research paper presented an evaluation of communication costs for distributed sparse tensor factorization on multi-GPU systems. It discussed the background of tensors, tensor factorization methods like CP-ALS, and communication requirements in RefacTo. The motivation highlighted the dominance o

0 views • 34 slides


Understanding Batch Estimation and Solving Sparse Linear Systems

Explore the concepts of batch estimation, solving sparse linear systems, and Square Root Filters in the context of information and square-root form. Learn about extended information filters, information filter motion updates, measurement updates, factor graph optimization, and more. Understand how S

0 views • 37 slides


Exploring Efficient Hardware Architectures for Deep Neural Network Processing

Discover new hardware architectures designed for efficient deep neural network processing, including SCNN accelerators for compressed-sparse Convolutional Neural Networks. Learn about convolution operations, memory size versus access energy, dataflow decisions for reuse, and Planar Tiled-Input Stati

0 views • 23 slides


Understanding Inter-Process Communication Signals in Operating Systems

Signals in operating systems play a critical role in facilitating asynchronous notifications between processes. They allow for event-based programming and are conceptually similar to hardware interrupts and exceptions. Processes can handle signal delivery by ignoring it, terminating, or invoking a s

0 views • 24 slides


Understanding Digital Signal Processing in Modern Society

Digital Signal Processing (DSP) technology has revolutionized modern society by enabling advancements in areas such as audio, video, communication, medical diagnostics, image processing, and data analysis. This technology involves converting analog signals to digital, applying digital algorithms for

0 views • 4 slides


Constrained Adaptive Sensing and Benefits of Adaptivity

Constrained adaptive sensing involves estimating sparse signals with constraints, utilizing strategies like nonadaptive sensing and adaptive sensing. Benefits of adaptivity include reducing errors and improving estimation accuracy in signal processing. It explores the potential for improvement in re

0 views • 17 slides


Civilian GNSS Signals Overview: GPS, GLONASS, Galileo

An insightful lecture on civilian GNSS signals by Dr. Ali Albu-Rghaif covers GPS, GLONASS, and Galileo signals. The content delves into GPS signal modulation, generation, receiving, and demodulation processes, highlighting the carrier wave, navigation data, and spreading sequences. It also discusses

0 views • 20 slides


Orthogonal Vectors Conjecture and Sparse Graph Properties Workshop

Exploring the computational complexity of low-polynomial-time problems, this workshop delves into the Orthogonal Vectors Problem and its conjectures. It introduces concepts like the Sparse OV Problem, first-order graph properties, and model checking in graphs. Discussing the hardness of problems rel

2 views • 22 slides