Search Results - "Mishali, M"

Refine Results
  1. 1

    Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals by Mishali, M., Eldar, Y.C.

    Published in IEEE transactions on signal processing (01-03-2009)
    “…We address the problem of reconstructing a multiband signal from its sub-Nyquist pointwise samples, when the band locations are unknown. Our approach assumes…”
    Get full text
    Journal Article
  2. 2

    Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors by Mishali, M., Eldar, Y.C.

    Published in IEEE transactions on signal processing (01-10-2008)
    “…The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered…”
    Get full text
    Journal Article
  3. 3

    Robust Recovery of Signals From a Structured Union of Subspaces by Eldar, Y.C., Mishali, M.

    Published in IEEE transactions on information theory (01-11-2009)
    “…Traditional sampling theories consider the problem of reconstructing an unknown signal x from a series of samples. A prevalent assumption which often…”
    Get full text
    Journal Article
  4. 4

    The importance of measuring self-efficacy in patients with diabetes by Mishali, M, Omer, H, Heymann, A D

    Published in Family practice (01-02-2011)
    “…Self-efficacy is an important factor influencing diabetes self-management behaviours. Previous studies have examined self-efficacy as a general measure in…”
    Get full text
    Journal Article
  5. 5

    Conceptualization and measurement of resistance to treatment: the resistance to treatment questionnaire for people with diabetes by Mishali, M, Vaknin, YS, Omer, H, Heymann, AD

    Published in Family practice (01-12-2007)
    “…Objective. This research describes the process of building a tool which allows assessment of resistance to treatment and its intensity among patients with…”
    Get full text
    Journal Article
  6. 6

    Xampling: Signal Acquisition and Processing in Union of Subspaces by Mishali, M., Eldar, Y. C., Elron, A. J.

    Published in IEEE transactions on signal processing (01-10-2011)
    “…We introduce Xampling, a unified framework for signal acquisition and processing of signals in a union of subspaces. The main functions of this framework are…”
    Get full text
    Journal Article
  7. 7

    Effect of scaffold stiffness on myoblast differentiation by Levy-Mishali, Meital, Zoldan, Janet, Levenberg, Shulamit

    Published in Tissue engineering. Part A (01-04-2009)
    “…Successful tissue engineering requires optimization of scaffold stiffness for a given application and cell type. Here, we investigated the effect of scaffold…”
    Get more information
    Journal Article
  8. 8

    Reducing resistance to diabetes treatment using short narrative interventions by Mishali, Moshe, Sominsky, Luba, Heymann, Anthony David

    Published in Family practice (01-04-2010)
    “…Objective. This article presents a narrative-based technique, which allows medical personnel to empower patients with diabetes and improve adherence. Methods…”
    Get full text
    Journal Article
  9. 9

    Sub-Nyquist processing with the modulated wideband converter by Mishali, M, Elron, A, Eldar, Y C

    “…Sub-Nyquist systems capture the signal information in a different fashion than uniform high-rate samples. Consequently, digital processing, which is the prime…”
    Get full text
    Conference Proceeding
  10. 10

    Sparse source separation from orthogonal mixtures by Mishali, M., Eldar, Y.C.

    “…This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose…”
    Get full text
    Conference Proceeding
  11. 11

    Spectrum-blind reconstruction of multi-band signals by Mishali, M., Eldar, Y.C.

    “…We develop a perfect reconstruction scheme from point-wise sub-Nyquist rate samples for multi-band signals. Our approach is blind, namely the knowledge of the…”
    Get full text
    Conference Proceeding
  12. 12

    Generic sensing hardware and real-time reconstruction for structured analog signals by Mishali, M., Hilgendorf, R., Shoshan, E., Rivkin, I., Eldar, Y. C.

    “…Generic acquisition hardware promotes a unified treatment of various signal classes. In modern applications involving wide input bandwidths, uniform sampling,…”
    Get full text
    Conference Proceeding
  13. 13
  14. 14

    Ethnic Diversity, Issues, and International Crisis Dynamics, 1918-2002 by Mishali-Ram, Meirav

    Published in Journal of peace research (01-09-2006)
    “…Ethnic conflict is prominent and recurrent in contemporary world politics, expressed in both internal and international disputes. The main goal of this study…”
    Get full text
    Journal Article
  15. 15

    Expected RIP: Conditioning of The modulated wideband converter by Mishali, M., Eldar, Y.C.

    Published in 2009 IEEE Information Theory Workshop (07-12-2009)
    “…The sensing matrix of a compressive system impacts the stability of the associated sparse recovery problem. In this paper, we study the sensing matrix of the…”
    Get full text
    Conference Proceeding
  16. 16

    Block sparsity and sampling over a union of subspaces by Eldar, Y.C., Mishali, M.

    “…Sparse signal representations have gained wide popularity in recent years. In many applications the data can be expressed using only a few nonzero elements in…”
    Get full text
    Conference Proceeding
  17. 17

    Efficient sampling of sparse wideband analog signals by Mishali, M., Eldar, Y.C., Tropp, J.A.

    “…Periodic nonuniform sampling is a known method to sample spectrally sparse signals below the Nyquist rate. This strategy relies on the implicit assumption that…”
    Get full text
    Conference Proceeding
  18. 18

    Sub-Nyquist acquisition hardware for wideband communication by Mishali, M, Eldar, Y C, Dounaevsky, O, Shoshan, E

    “…We present a sub-Nyquist analog-to-digital converter of wideband inputs. Our circuit realizes the recently proposed modulated wideband converter, which is a…”
    Get full text
    Conference Proceeding
  19. 19

    The Continuous Joint Sparsity Prior for Sparse Representations: Theory and Applications by Mishali, M., Eldar, Y.C.

    “…The classical problem discussed in the literature of compressed sensing is recovering a sparse vector from a relatively small number of linear non-adaptive…”
    Get full text
    Conference Proceeding
  20. 20

    Lymph node revealing solution: a new method for lymph node sampling: results in gastric adenocarcinoma by Koren, R, Kyzer, S, Levin, I, Klein, B, Halpern, M, Rath-Wolfson, L, Paz, A, Melloul, M M, Mishali, M, Gal, R

    Published in Oncology reports (01-03-1998)
    “…Staging of gastric carcinoma depends on exact lymph node status. However, very small nodes are not easily found as they are obscured by the surrounding adipose…”
    Get more information
    Journal Article