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Dive into the research topics where Bruce R. Musicus is active.

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Featured researches published by Bruce R. Musicus.


IEEE Transactions on Acoustics, Speech, and Signal Processing | 1985

Fast MLM power spectrum estimation from uniformly spaced correlations

Bruce R. Musicus

We derive a fast algorithm for calculating the Capon maximum likelihood method (MLM) power spectrum estimate when given uniformly spaced samples of the correlation function. This algorithm computes a weighted correlation of the predictor coefficients found by running Levinson recursion. The Fourier transform of the result gives the MLM spectrum. This approach also suggests an interesting new comparison between MLM and MEM.


Siam Journal on Scientific and Statistical Computing | 1987

A local relaxation method for solving PDEs on mesh-connected arrays

C.-C. Jay Kuo; Bernard C. Levy; Bruce R. Musicus

A local relaxation method for solving linear elliptic PDEs with


IEEE Transactions on Signal Processing | 1993

Fast fault-tolerant digital convolution using a polynomial residue number system

Paul E. Beckmann; Bruce R. Musicus

O(N)


international conference on acoustics, speech, and signal processing | 1979

Maximum likelihood parameter estimation of noisy data

Bruce R. Musicus; Jae S. Lim

processors and


international conference on acoustics, speech, and signal processing | 1983

Iterative algorithms for optimal signal reconstruction and parameter identification given noisy and incomplete data

Bruce R. Musicus

O(\sqrt N )


IEEE Transactions on Signal Processing | 1991

Estimate-maximize algorithms for multichannel time delay and signal estimation

Mordechai Segal; Ehud Weinstein; Bruce R. Musicus

computation time is proposed. We first examine the implementation of traditional relaxation algorithms for solving elliptic PDEs on mesh-connected processor arrays, which require


acm symposium on parallel algorithms and architectures | 1991

Generalised multiprocessor scheduling using optimal control

G. N. Srinivasa Prasanna; Bruce R. Musicus

O(N)


Algorithmica | 1996

The optimal control approach to generalized multiprocessor scheduling

G. N. Srinivasa Prasanna; Bruce R. Musicus

processors and


IEEE Transactions on Parallel and Distributed Systems | 1994

Hierarchical compilation of macro dataflow graphs for multiprocessors with local memory

G. N. Srinivasa Prasanna; Anant Agarwal; Bruce R. Musicus

O(N)


international conference on acoustics, speech, and signal processing | 1986

Maximum entropy pole-zero estimation

Bruce R. Musicus; Allen Martin. Kabel

computation time. The disadvantage of these implementations is that the determination of the acceleration factors requires some global communication at each iteration. The high communication cost increases the computation time per iteration significantly. Therefore, a local relaxation scheme is proposed to achieve the acceleration effect with very little global communication in the loading stage. We use a Fourier analysis approach to analyze the local relaxation method and also show its convergence. The convergence rate of the local relaxation method is studied by computer simulation.

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Paul E. Beckmann

Massachusetts Institute of Technology

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G. N. Srinivasa Prasanna

Massachusetts Institute of Technology

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Andrew S Crowe

Massachusetts Institute of Technology

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Donald J Hejna

Massachusetts Institute of Technology

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William S. Song

Massachusetts Institute of Technology

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Makoto Tabei

Tokyo Institute of Technology

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Alan V. Oppenheim

Massachusetts Institute of Technology

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C.-C. Jay Kuo

University of Southern California

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