"Aspects of Signal Processing with Emphasis on Underwater Acoustics, Part 1" ed. by G. Tacconi

Computer facilities and theoretical implementation have considerably increased the possibility of solving problems relating to signal detection in noise. The present proceedings include the tutorial lectures and the complementary advanced research papers by contributing students on topics presented under the following subjects:

• Properties of Time-Space Variant Transmission
• Channel and Underwater Communications
• Detection Estimation and Tracking Techniques
• Time-Space Processing, Adaptive Processing and
• Normalization, Quantization Methods
• Displays, Pattern Recognition, Human Decision
• Relevant Inputs from Other Fields
• Modern Processor Architecture and Techniques

Among the various aspects of signal processing treated during the school, that regarding the auto-regressive systems or maximum entropy power spectral analysis was recognized as a very useful tool for many different applications, and the tutorial lectures supplied the audience with valuable basic elements for new applications.
The same can also be said for adaptive beamforming, timespace variant channel, detection estimation, and processor architecture.

CONTENTS OF PART 1
LIST OF PARTICIPANTS
PREFACE
INAUGURAL ADDRESSES
SUBJECT 1. PROPERTIES OF TIME/SPACE VARIANT TRANSMISSION CHANNEL AND UNDERWATER COMMUNICATIONS
MULTIPATH PROPAGATION AND ITS EFFECTS ON SONAR DESIGN AND PERFORMANCE IN THE REAL OCEAN
THE INFLUENCE OF TIME- AND SPACE-VARIANT RANDOM FILTERS ON SIGNAL PROCESSING
PARAMETRIC ACOUSTIC ARRAYS
ACOUSTIC AND ELECTROMAGNETIC WAVES PROPAGATING IN A TENUOUS RANDOM MEDIUM
TIME-FREQUENCY-SPACE GENERALIZED COHERENCE AND SCATTERING FUNCTIONS
SERIES EXPANSIONS OF VELOCITY PROFILE, HORIZONTAL RANGE AND TRAVEL TIME OF RAY THEORY IN OCEANS
HORIZONTAL SPATIAL COHERENCE MEASUREMENTS WITH EXPLOSIVES AND CW-SOURCES IN SHALLOW WATER
MEASUREMENT OF THE WEIGHTING FUNCTION OF THE TIME-VARIANT SHALLOW WATER CHANNEL
SUBJECT 2. DETECTION ESTIMATION AND TRACKING TECHNIQUES
POWER-SPECTRUM ESTIMATION
INTRODUCTION TO DETECTION AND ESTIMATION
MODELLING AND DETECTION
BAYES OPTIMAL VERSUS ESTIMATE AND PLUG ARRAY PROCESSOR PERFORMANCE WHEN THERE IS DIRECTIONAL UNCERTAINTY
A SEQUENTIAL LIKELIHOOD RATIO DETECTION SYSTEM
ESTIMATION OF THE TIME POSITION OF A PULSE IN NOISE
MAXIMUM LIKELIHOOD DETECTION OF SIGNALS IN NOISE OF UNKNOWN LEVEL
THE ROLE OF COHERENCE IN TIME DELAY ESTIMATION
TARGET CLASSIFICATION AND HYPOTHESIS TESTING
AN ADAPTIVE KALMAN FILTER TRACKER FOR MULTI-MODE RANGE/DOPPLER SONAR
STRUCTURE ESTIMATION FROM ACOUSTIC REFLECTION MEASUREMENTS

SUBJECT 3. TIME-SPACE PROCESSING, ADAPTIVE PROCESSING AND NORMALIZATION, QUANTIZATION METHODS
AN INTRODUCTION TO ADAPTIVE PROCESSING IN A PASSIVE SONAR SYSTEM
SOME LESSONS FROM ARRAY PROCESSING THEORY
NUMBER THEORETIC TRANSFORMS
STATIONARY AND NONSTATIONARY LEARNING CHARACTERISTICS OF THE LMS ADAPTIVE FILTER
AN ADAPTIVE APPROACH TO UNDERWATER PASSIVE DETECTION

Reprint of the original 1st ed. 1977 edition (October 13, 2011)

http://nitroflare.com/view/F6361678170752C/AspectsSignalProcessing771.pdf