THE MATCHED FIELD PROCESSING BENCHMARK PROBLEMS

1994 ◽  
Vol 02 (03) ◽  
pp. 161-185 ◽  
Author(s):  
MICHAEL B. PORTER ◽  
A. TOLSTOY
Keyword(s):  
State Of The Art ◽  
Lessons Learned ◽  
Benchmark Problems ◽  
Naval Research ◽  
Test Problems ◽  
Acoustic Source ◽  
Matched Field Processing ◽  
True Source ◽  
Processing Techniques ◽  
Signal Processing Techniques

In matched field processing sophisticated acoustic models are combined with signal processing techniques to localize an acoustic source in the ocean. A key challenge has been to develop schemes that work not just in idealized simulations but in realistic scenarios. Additionally it has been difficult to get a sense of the relative merits of different schemes: there has been no common set of problems to test the techniques. To assess the state of the art, a workshop was held in May 1993 at the Naval Research Laboratory where both simulated and experimental data were provided to the community of users to test the algorithms. However, researchers were not given the true source location and thus exercised their algorithms blindly. We describe here the test problems and provide an overview of the results and the lessons learned.

scholarly journals Evaluation of Audio Compression Artifacts

10.14311/906 ◽  
2007 ◽  
Vol 47 (1) ◽  
Author(s):  
M. Herrera Martinez
Keyword(s):  
State Of The Art ◽  
Subjective Evaluation ◽  
Audio Coding ◽  
Coding System ◽  
Audio Compression ◽  
Coding Systems ◽  
Wide Range ◽  
Different Types ◽  
Processing Techniques ◽  
Signal Processing Techniques

This paper deals with subjective evaluation of audio-coding systems. From this evaluation, it is found that, depending on the type of signal and the algorithm of the audio-coding system, different types of audible errors arise. These errors are called coding artifacts. Although three kinds of artifacts are perceivable in the auditory domain, the author proposes that in the coding domain there is only one common cause for the appearance of the artifact, inefficient tracking of transient-stochastic signals. For this purpose, state-of-the art audio coding systems use a wide range of signal processing techniques, including application of the wavelet transform, which is described here. 

scholarly journals Thresholded ConvNet ensembles: neural networks for technical forecasting

2020 ◽  
Vol 32 (18) ◽  
pp. 15249-15262
Author(s):  
Sid Ghoshal ◽  
Stephen Roberts
Keyword(s):  
Neural Networks ◽  
Domain Knowledge ◽  
Deep Neural Network ◽  
State Of The Art ◽  
Financial Time Series ◽  
Visual Representations ◽  
Financial Time ◽  
Subjective Form ◽  
Processing Techniques ◽  
Signal Processing Techniques

Abstract Much of modern practice in financial forecasting relies on technicals, an umbrella term for several heuristics applying visual pattern recognition to price charts. Despite its ubiquity in financial media, the reliability of its signals remains a contentious and highly subjective form of ‘domain knowledge’. We investigate the predictive value of patterns in financial time series, applying machine learning and signal processing techniques to 22 years of US equity data. By reframing technical analysis as a poorly specified, arbitrarily preset feature-extractive layer in a deep neural network, we show that better convolutional filters can be learned directly from the data, and provide visual representations of the features being identified. We find that an ensemble of shallow, thresholded convolutional neural networks optimised over different resolutions achieves state-of-the-art performance on this domain, outperforming technical methods while retaining some of their interpretability.

scholarly journals Accelerometer Based Method for Tire Load and Slip Angle Estimation

Vibration ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 174-186 ◽  
Author(s):  
Kanwar Bharat Singh ◽  
Saied Taheri
Keyword(s):  
Signal Processing ◽  
State Of The Art ◽  
Experimental Results ◽  
Slip Angle ◽  
Special Focus ◽  
Promising Technology ◽  
Research Activities ◽  
Novel Algorithms ◽  
Processing Techniques ◽  
Signal Processing Techniques

Tire mounted sensors are emerging as a promising technology, capable of providing information about important tire states. This paper presents a survey of the state-of-the-art in the field of smart tire technology, with a special focus on the different signal processing techniques proposed by researchers to estimate the tire load and slip angle using tire mounted accelerometers. Next, details about the research activities undertaken as part of this study to develop a smart tire are presented. Finally, novel algorithms for estimating the tire load and slip angle are presented. Experimental results demonstrate the effectiveness of the proposed algorithms.

Weak GNSS Signal Acquisition for Indoor Environments

2018 ◽  
pp. 485-514
Author(s):  
Seung-Hyun Kong
Keyword(s):  
Signal Processing ◽  
State Of The Art ◽  
High Sensitivity ◽  
Urban Canyon ◽  
Signal Acquisition ◽  
Indoor Environments ◽  
Weak Signals ◽  
Fast Acquisition ◽  
Processing Techniques ◽  
Signal Processing Techniques

High sensitivity and fast acquisition are two important goals that must be considered in the development of signal processing techniques for a GNSS acquisition function to meet the demands for LBS in GNSS-challenged environments, such as indoor and urban canyon. This chapter introduces the fundamentals of GNSS acquisition functions, GNSS acquisition techniques for new GNSS signals, and GNSS acquisition techniques achieving high sensitivity and fast acquisition. Therefore, this chapter contains useful information for engineers who study the fundamentals and principles of GNSS acquisition and the state-of-the-art GNSS signal acquisition techniques for weak signals.

Effective Tools for Diagnosing Elusive Turbomachinery Dynamics Problems in the Field

1990 ◽  
Vol 112 (4) ◽  
pp. 470-477 ◽  
Author(s):  
H. R. Simmons ◽  
A. J. Smalley
Keyword(s):  
Signal Processing ◽  
Gas Turbine ◽  
State Of The Art ◽  
Rotating Stall ◽  
Blade Vibrations ◽  
Nonintrusive Measurement ◽  
Alternative Techniques ◽  
Processing Techniques ◽  
Dynamics Problems ◽  
Signal Processing Techniques

This paper describes and discusses techniques that can effectively diagnose dynamics problems in turbomachinery. A variety of elusive dynamics problems are identified that require definition, quantification, diagnosis, and monitoring. The state of the art in measurement and signal processing techniques is discussed with reference to such factors as the directness of the measurement, the degree of intrusion required, the difficulty of installation, and the reliability or durability of the sensor. Several examples of techniques are provided that have proved to be effective in diagnosing elusive dynamics problems; some examples allow comparison of alternative techniques with different degrees of effectiveness. Problems addressed include rotating stall in the compressor section of a gas turbine, coupled lateral/torsional vibration in a gas turbine driven pipeline compressor, forced vibration of combustor parts, strain gage telemetry of blade vibrations, and nonintrusive measurement of blade vibrations using bearing-mounted accelerometers.

On Satellite Signal Processing Techniques Applicable to GPS Geodetic Equipment

1982 ◽  
Vol 36 (1) ◽  
pp. 43-55
Author(s):  
Patrick J. Hui
Keyword(s):  
Signal Processing ◽  
Comparative Analysis ◽  
Carrier Phase ◽  
State Of The Art ◽  
Performance Potential ◽  
Phase Measurements ◽  
Trade Offs ◽  
Satellite Signal ◽  
Processing Techniques ◽  
Signal Processing Techniques

Four different signal processing techniques applicable to GPS geodetic equipment are considered in this paper. These are: pseudorange measurements, integrated Doppler counts, carrier phase measurements and interferometric measurements. Hardware requirements and error budgets are reviewed. Inherent performance limitations of each technique and design trade-offs involved in attempting to achieve the full performance potential, using state-of-the-art electronics are discussed. The above provides a basis for comparative analysis of those signal processing techniques applied to GPS geodetic equipment.

Effective Tools for Diagnosing Elusive Turbomachinery Dynamics Problems in the Field

1989 ◽  
Author(s):  
Harold R. Simmons ◽  
Anthony J. Smalley
Keyword(s):  
Signal Processing ◽  
Gas Turbine ◽  
State Of The Art ◽  
Rotating Stall ◽  
Blade Vibrations ◽  
Nonintrusive Measurement ◽  
Alternative Techniques ◽  
Processing Techniques ◽  
Dynamics Problems ◽  
Signal Processing Techniques

This paper describes and discusses techniques which can effectively diagnose dynamics problems in turbomachinery. A variety of elusive dynamics problems are identified which require definition, quantification, diagnosis, and monitoring. The state of the art in measurement and signal processing techniques is discussed with reference to such factors as the directness of the measurement, the degree of intrusion required, the difficulty of installation, and the reliability or durability of the sensor. Several examples of techniques are provided which have proved to be effective in diagnosing elusive dynamics problems; some examples allow comparison of alternative techniques with different degrees of effectiveness. Problems addressed include rotating stall in the compressor section of a gas turbine, coupled lateral/torsional vibration in a gas turbine driven pipeline compressor, forced vibration of combustor parts, strain gage telemetry of blade vibrations, and nonintrusive measurement of blade vibrations using bearing mounted accelerometers.

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