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  2. Infinite-Dimensional Compressed Sensing and Frames inMedical Imaging…

    www.damtp.cam.ac.uk/research/afha/projects/CCA_Project5.pdf
    5 Oct 2013: By introducing a new type ofsemi-random sampling scheme one can break this incoherence barrier and show that this techniquedramatically outperforms the traditional approach. ... The key to the improvements of these new techniques is to use a
  3. On a curious q-hypergeometric identity Maŕıa José…

    www.damtp.cam.ac.uk/user/na/NA_papers/NA2011_09.pdf
    20 Feb 2013: Appl. Maths 4, 1-38. [4] Rainville, E.D. (1960), Special Functions, Macmillan, New York.
  4. Breaking the coherence barrier: asymptoticincoherence and asymptotic…

    www.damtp.cam.ac.uk/research/afha/anders/AHPRSampta13.pdf
    5 Oct 2013: I. INTRODUCTION. In this paper we present a new mathematical frameworkfor overcoming the so-called coherence barrier in compressedsensing1. ... III. NEW CONCEPTS. In order to overcome the coherence barrier, we require threenew concepts.
  5. Breaking the coherence barrier: asymptoticincoherence and asymptotic…

    www.damtp.cam.ac.uk/research/afha/bogdan/AHPRSampta13.pdf
    5 Oct 2013: I. INTRODUCTION. In this paper we present a new mathematical frameworkfor overcoming the so-called coherence barrier in compressedsensing1. ... III. NEW CONCEPTS. In order to overcome the coherence barrier, we require threenew concepts.
  6. Convergence theory for spectral deferred correction Anders C. Hansen, …

    www.damtp.cam.ac.uk/research/afha/people/anders/Spectral.pdf
    5 Oct 2013: Abstract. In a recent article [2] Dutt, Greengard and Rohklin define two new methods of deferredcorrection. ... Springer-Verlag, Wien-New York, 1984. [2] A. Dutt, L. Greengard, and V.
  7. REDUCED CONSISTENCY SAMPLING IN HILBERT SPACES Ben Adcock1, Anders ...

    www.damtp.cam.ac.uk/research/afha/people/anders/AdcockHansenSampTA.pdf
    5 Oct 2013: Emails: ben adcock@sfu.ca, a.hansen@damtp.cam.ac.uk. ABSTRACTWe present a new approach for the problem of reconstructingan element of a Hilbert space in an arbitrary reconstruction basisgiven ... Marcel Dekker Inc., New York, 2001. [8] A. C. Hansen.
  8. Optimal wavelet reconstructions from Fourier samples viageneralized…

    www.damtp.cam.ac.uk/research/afha/anders/samptaFinal.pdf
    5 Oct 2013: In other words, if the reconstruction constant. C(FN,M ) = max{κ(FN,M ),µ(FN,M )},. is small. II. REDUCED CONSISTENCY SAMPLING. This problem of generalized sampling is not new
  9. Optimal wavelet reconstructions from Fourier samples viageneralized…

    www.damtp.cam.ac.uk/research/afha/people/anders/samptaFinal.pdf
    5 Oct 2013: In other words, if the reconstruction constant. C(FN,M ) = max{κ(FN,M ),µ(FN,M )},. is small. II. REDUCED CONSISTENCY SAMPLING. This problem of generalized sampling is not new
  10. 1B Methods 98 . 1B METHODS LECTURE NOTES Richard ...

    www.damtp.cam.ac.uk/user/examples/B8Ld.pdf
    4 Oct 2013: 1B Methods 105. Now consider introducing new independent variables ξ,η by the substitution. ... etc. and in particular we get the new 2nd derivative coefficients to be.
  11. 1B Methods 1 . 1B METHODS LECTURE NOTES Richard ...

    www.damtp.cam.ac.uk/user/examples/B8La.pdf
    4 Oct 2013: Con-sider again the general second order linear differential operator (with new names for thecoefficient functions, as often used in texts). ... Consider multiplyingthrough by some function F(x). The new coefficients of y′′ and y′ are Fp and Fr

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