Articles — Recent

Papers, presentations, reports and more, written in LaTeX and published by our community. Search or browse below.

Consumo de Alimentos Provenientes de Animales: el Mayor y Más Ignorado Factor Contaminante
Consumo de Alimentos Provenientes de Animales: el Mayor y Más Ignorado Factor Contaminante
Consumo de Alimentos Provenientes de Animales: el Mayor y Más Ignorado Factor Contaminante
ivan
The Sum of the Reciprocals of the Squares
The Sum of the Reciprocals of the Squares
A reproduction of a proof by Leonard Euler, which I dug out of the back of a calculus textbook with the help of Brian Burrell. This was in MATH 233 at the University of Massachusetts, Amherst, Fall 2015.
Samuel Castillo
Overleaf Keyboard Shortcuts
Overleaf Keyboard Shortcuts
This is the current set of available keyboard shortcuts for the Overleaf editor.
LianTze Lim
Applications of Compressive Sensing in Communications and Signal Processing
Applications of Compressive Sensing in Communications and Signal Processing
Compressive Sensing is a Signal Processing technique, which gave a break through in 2004. The main idea of CS is, by exploiting the sparsity nature of the signal (in any domain), we can reconstruct the signal from very fewer samples than required by Shannon-Nyquist sampling theorem. Reconstructing a sparse signal from fewer samples is equivalent to solving a under-determined system with sparsity constraints. Least square solution to such a problem yield poor `results because sparse signals cannot be well approximated to a least norm solution. Instead we use l1 norm(convex) to solve this problem which is the best approximation to the exact solution given by l0 norm(non-convex). In this paper we plan to discuss three applications of CS in estimation theory. They are, CS based reliable Channel estimation assuming sparsity in the channel is known for TDS-OFDM systems[1]. Indoor location estimation from received signal strength (RSS) where CS is used to reconstruct the radio map from RSS measurements[2]. Identifying that subspace in which the signal of interest lies using ML estimation, assuming signal lies in a union of subspaces which is a standard sparsity assumption according to CS theory[3]. Index terms : Compressive Sensing, Indoor positioning, fingerprinting, radio map, Maximum likelihood estimation, union of linear subspaces, subspace recovery.
mohangiridhar
Amplificador diferencial
Amplificador diferencial
Este ejemplo representa el esquema de un amplificador diferencial construido con un amplificador operacional y cinco resistencias, el cual se usa para calcular la ganancia de la diferencia de dos señales independientes. Las notaciones son las siguientes: v1: tensión de entrada 1. v2: tensión de entrada 2. R1: resistencia. R2: resistencia. RL: resistencia de carga. vo: tensión de salida. Este esquema es una adaptación del que se encuentra en el la página 76, Capítulo 1 del texto "Electrónica, 2da Edición" de Allan R. Hambley, publicado en idioma español por la editorial Pearson Educación.
Ramón
CV of Ashiqur Rahman
CV of Ashiqur Rahman
CV of Ashiqur Rahman
Ashiqur Rahman
JEEC2015_MondayWorkshop
JEEC2015_MondayWorkshop
Presentation for JEEC Workshop
Alexandre Bernardino
Projet Personnel en Humanités
Projet Personnel en Humanités
Rapport du Projet Personnel en Humanités de Kévin Bulmé ayant pour sujet l'étude des bienfaits sociaux des jeux vidéo sur les personnes et la société.
Kévin Bulmé
standaard hw
standaard hw
hoi
Joris van der Hijden