• Nenhum resultado encontrado

Efficient recovery algorithm for discrete valued sparse signals using an ADMM approach

N/A
N/A
Protected

Academic year: 2021

Share "Efficient recovery algorithm for discrete valued sparse signals using an ADMM approach"

Copied!
8
0
0

Texto

Loading

Imagem

TABLE 1. Discrete valued sparse ADMM algorithm.
FIGURE 1. DVS-ADMM performance for N = 32, L = 12, K = 3 and 64-QAM.
FIGURE 3. RER performance comparison for 64-QAM with N = 32, L = 16, K = 3.

Referências

Documentos relacionados

The probability of attending school four our group of interest in this region increased by 6.5 percentage points after the expansion of the Bolsa Família program in 2007 and

No campo, os efeitos da seca e da privatiza- ção dos recursos recaíram principalmente sobre agricultores familiares, que mobilizaram as comunidades rurais organizadas e as agências

Mas, apesar das recomendações do Ministério da Saúde (MS) sobre aleitamento materno e sobre as desvantagens de uso de bicos artificiais (OPAS/OMS, 2003), parece não

Ousasse apontar algumas hipóteses para a solução desse problema público a partir do exposto dos autores usados como base para fundamentação teórica, da análise dos dados

The proposed approach is composed of two main steps: (i) an initial solution is generated using the Kingston High School Timetabling Engine (KHE) constructive algorithm ( Kingston

With the analysis of the spatial variability of the data, it was observed that the pens positioned in the central region of the two facilities had the least stressful places

The objective of this study was to model, analyze and compare the structure of spatial dependence, as well as the spatial variability of the water depths applied by a