2026 Louis L. Scharf: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	55	2920	2795	880	802	346	21437

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

2920

2795

880

802

346

21437

Engineering and Technology

D-Index

Citations

21437

World Ranking

2920

National Ranking

880

Research.com Recognitions

2016 - Jack S. Kilby Signal Processing Medal For pioneering and sustained contributions to statistical signal processing and its practice.

Overview

Louis L. Scharf is affiliated with Colorado State University in the United States and has contributed extensively to the fields of computer science and engineering. Their research spans various subfields including aerospace engineering, computer networks and communications, signal processing, artificial intelligence, and computer vision and pattern recognition.

The primary focus of Scharf's work includes distributed sensor networks and detection algorithms, radar systems and signal processing, target tracking and data fusion in sensor networks, direction-of-arrival estimation techniques, blind source separation techniques, advanced SAR imaging techniques, and probability and risk models.

Scharf's frequent publication venues include:

IEEE Transactions on Signal Processing
arXiv (Cornell University)
IEEE Open Journal of Signal Processing
Signal Processing
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Some notable recent papers by Louis L. Scharf include:

"A Unified Theory of Adaptive Subspace Detection Part I: Detector Designs," 2022, IEEE Transactions on Signal Processing
"A MIMO Version of the Reed-Yu Detector and Its Connection to the Wilks Lambda and Hotelling T² Statistics," 2020, IEEE Transactions on Signal Processing
"Scale-Invariant Subspace Detectors Based on First- and Second-Order Statistical Models," 2020, IEEE Transactions on Signal Processing
"Matched Manifold Detection for Group-Invariant Registration and Classification of Images," 2021, IEEE Transactions on Signal Processing
"A Unified Theory of Adaptive Subspace Detection Part II: Numerical Examples," 2022, IEEE Transactions on Signal Processing

Frequent co-authors include Danilo Orlando, Ignacio Santamaría, David Ramírez, Margaret Cheney, and Giuseppe Ricci, each collaborating on several research projects and papers.

Louis L. Scharf was awarded the Jack S. Kilby Signal Processing Medal in 2016 for contributions to statistical signal processing and its applications.

Best Publications

Statistical signal processing : detection, estimation, and time series analysis

Louis L. Scharf;Cédric Demeure

4237
Citations
Initial results in Prony analysis of power system response signals

J.F. Hauer;C.J. Demeure;L.L. Scharf

1209
Citations
Matched subspace detectors

L.L. Scharf;B. Friedlander

1192
Citations
A multistage representation of the Wiener filter based on orthogonal projections

J.S. Goldstein;I.S. Reed;L.L. Scharf

1190
Citations
Sensitivity to Basis Mismatch in Compressed Sensing

Yuejie Chi;Louis L Scharf;Ali Pezeshki;A Robert Calderbank

1047
Citations
Adaptive subspace detectors

S. Kraut;L.L. Scharf;L.T. McWhorter

854
Citations
Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals

Peter J. Schreier;Louis L. Scharf

834
Citations
The CFAR adaptive subspace detector is a scale-invariant GLRT

S. Kraut;L.L. Scharf

736
Citations
Signal processing applications of oblique projection operators

R.T. Behrens;L.L. Scharf

636
Citations
Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety

T. Adali;P. J. Schreier;L. L. Scharf

453
Citations
Second-order analysis of improper complex random vectors and processes

P.J. Schreier;L.L. Scharf

441
Citations
The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic

S. Kraut;L.L. Scharf;R.W. Butler

397
Citations
An algorithm for pole-zero modeling and spectral analysis

R. Kumaresan;L. Scharf;A. Shaw

307
Citations
The SVD and reduced rank signal processing

Louis L. Scharf

287
Citations
Adaptive matched subspace detectors and adaptive coherence estimators

L.L. Scharf;L.T. McWhorter

284
Citations
A new subspace identification algorithm for high-resolution DOA estimation

M.L. McCloud;L.L. Scharf

251
Citations
A Prony method for noisy data: Choosing the signal components and selecting the order in exponential signal models

R. Kumaresan;D.W. Tufts;L.L. Scharf

233
Citations
Rank reduction for modeling stationary signals

L. Scharf;D. Tufts

221
Citations
Interference cancellation in adjoint operators for communication receivers

Louis Scharf;Steve Shattil

201
Citations
Statistical Signal Processing of Complex-Valued Data: Complex random vectors

Unknown

174
Citations
Sensitivity to basis mismatch in compressed sensing

Yuejie Chi;Ali Pezeshki;Louis Scharf;Robert Calderbank

113
Citations