Search Results - "Proudler, I.K."

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  1. 1

    The KaGE RLS algorithm by Skidmore, I.D., Proudler, I.K.

    Published in IEEE transactions on signal processing (01-12-2003)
    “…A new fast recursive least squares (RLS) algorithm, the Kalman gain estimator (KaGE), is introduced. By making use of RLS interpolation as well as prediction,…”
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    Journal Article
  2. 2

    A conceptual framework for consistency, conditioning, and stability issues in signal processing by Bunch, J.R., Le Borne, R.C., Proudler, I.K.

    Published in IEEE transactions on signal processing (01-09-2001)
    “…The techniques employed for analyzing algorithms in numerical linear algebra have evolved significantly since the 1940s. Significant in this evolution is the…”
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    Journal Article
  3. 3

    MVDR beamforming and generalized sidelobe cancellation based on inverse updating with residual extraction by Moonen, M., Proudler, I.K.

    “…The "standard" minimum variance distortionless response (MVDR) beamforming algorithm of McWhirter and Shepherd (1989) is known to suffer from linear roundoff…”
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    Journal Article
  4. 4

    Interference suppression in turbo-MIMO systems by Warner, E.S., Proudler, I.K., Macleod, M.D.

    “…Although it is usually assumed in the literature that interference to MEMO communication systems will be prevented by regulation, MEMO might in future be used…”
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    Conference Proceeding
  5. 5
  6. 6

    Applying numerical linear algebra techniques to analyzing algorithms in signal processing by Bunch, J.R., Le Borne, R.C., Proudler, I.K.

    Published in Linear algebra and its applications (01-03-2003)
    “…Without theoretical evidence to support the use of an algorithm, one cannot be certain that if it solves one problem successfully it will necessarily solve all…”
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    Journal Article Conference Proceeding
  7. 7

    Generating 'fast QR' algorithms using signal flow graph techniques by Moonen, M., Proudler, I.K.

    “…In this paper we show how 'fast QR' algorithms can be derived using signal flow graph (SFG) manipulation. Such SFG based derivations are believed to be much…”
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    Conference Proceeding
  8. 8

    KAGE: a new fast RLS algorithm by Skidmore, I.D., Proudler, I.K.

    “…A new fast recursive least squares (RLS) algorithm is introduced. By making use of RLS interpolation as well prediction, the algorithm generates the…”
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    Conference Proceeding
  9. 9

    Approximate minimum norm subspace projection of least squares weights without an SVD by Smith, M.J., Proudler, I.K.

    “…A QR based technique is presented for estimating the approximate numerical rank and corresponding signal subspace of a matrix together with the subspace…”
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    Conference Proceeding
  10. 10

    An efficient scheme for broadband adaptive beamforming by Weiss, S., Stewart, R.W., Schabert, M., Proudler, I.K., Hoffman, M.W.

    “…This paper introduces an oversampled subband approach to linearly constrained minimum variance adaptive broadband beamforming. This method is motivated by the…”
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    Conference Proceeding
  11. 11

    Distributed Processing of a Fractal Array Beamformer by Karagiannakis, P, Thompson, K, Corr, J, Proudler, I.K, Weiss, S

    “…Fractals have been proven as potential candidates for satellite flying formations, where its different elements represent a thinned array. The distributed and…”
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    Conference Proceeding
  12. 12

    Formal derivation of a systolic array for recursive least squares estimation by Proudler, I.K., McWhirter, J.G., Moonen, M., Hekstra, G.

    “…A systolic array for recursive least squares estimation by inverse updates is derived by means of algorithmic engineering. The derivation of this systolic…”
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    Journal Article
  13. 13

    On the derivation of parallel filter structures for adaptive eigenvalue and singular value decompositions by Moonen, M., Deprettere, E., Proudler, I.K., McWhirter, J.G.

    “…A graphical derivation is presented for a parallel filter structure (systolic array) for updating eigenvalue and singular value decompositions. The derivation…”
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    Conference Proceeding
  14. 14

    A systolic array for recursive least squares estimation by inverse updates by McWhirter, J.G, Proudler, I.K

    “…We derive a new systolic array for implementing a recursive least squares (RLS) algorithm based on the QR decomposition (QRD) inverse-updates method. Unlike…”
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    Conference Proceeding
  15. 15

    An estimation algorithm for AR models with closely located lightly damped low frequency poles by Harteneck, M., Stewart, R.W., McWhirter, J.G., Proudler, I.K.

    “…We present a pole estimation algorithm which is based on an overdetermined adaptive IIR filter with an additional postprocessing stage to extract the pole…”
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    Conference Proceeding
  16. 16

    Multi-channel equalisation and interference cancellation for HF STANAG 4285 transmissions by Warner, E.S, Proudler, I.K

    Published in IEE conference publication (2003)
    “…Adaptive multi-channel equalisation is investigated for HF STANAG 4285 transmissions by processing data collected during March-April 2000. The demodulation…”
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    Conference Proceeding
  17. 17

    Comparing efficient broadband beamforming architectures and their performance trade-offs by Weiss, S., Proudler, I.K.

    “…In this paper, we evaluate efficient implementations of a broadband beamforming structure, that permits to project the data onto subspaces defined by the…”
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    Conference Proceeding
  18. 18

    An effective approach to adaptive IIR filtering by Harteneck, M., Stewart, R.W., McWhirter, J.G., Proudler, I.K.

    “…An approach to adaptive IIR filtering based on a pseudo-linear regression and a QR matrix decomposition is developed. The algorithm has proved to be stable and…”
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    Conference Proceeding
  19. 19

    On the formal derivation of a systolic array for recursive least squares estimation by Moonen, M., Proudler, I.K., McWhirter, J.G., Hekstra, G.

    “…A formal proof is presented, for the first time, for a recently developed systolic array for recursive least squares estimation proposed by Moonen and…”
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    Conference Proceeding
  20. 20

    On the formal derivation of a systolic array for recursive least squares estimation by Proudler, I.K., McWhirter, J.G., Moonen, M.

    “…We present the proof of a new systolic array for implementing a recursive least squares (RLS) algorithm based on the QR decomposition (QRD) inverse-updates…”
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    Conference Proceeding