"Aspects of Signal Processing With Emphasis on Underwater Acoustics, Part 2" ed. by G. Tacconi

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 2
SUBJECT 3. TIME-SPACE PROCESSING, ADAPTIVE PROCESSING AND NORMALIZATION, QUANTIZATION METHODS (continued)
OPTIMUM ANTENNA PROCESSING: A MODULAR APPROACH
THE FORGOTTEN ALGORITHM IN ADAPTIVE BEAMFORMING
THE EFFECTS OF SIGNAL AND WEIGHT COEFFICIENT QUANTISATION IN ADAPTIVE ARRAY PROCESSORS
ADAPTIVE BEAMFORMING IN AN ACTIVE DOPPLER SONAR
ADAPTIVE ARRAY PROCESSING EXPERIMENTS AT HF
SEPARATION AND REPRESENTATION OF SOURCES AND SIGNALS BY A LINEAR ANTENNA
COMPLEMENTARITY OF PROPAGATION MODEL DESIGN WITH ARRAY PROCESSING
SPECTRAL SIGNAL SET EXTRACTION
A CONSTRAINED ADAPTIVE BEAMFORMER TOLERANT OF ARRAY GAIN AND PHASE ERRORS
SIGNAL EXTRACTION ALGORITHMS FOR ADAPTIVE PROCESSING OF ARRAY DATA
PROPERTIES OF THE DISCRETE FOURIER TRANSFORM (DFT)
AN ADAPTIVE BEAMFORMER WHICH IMPLEMENTS CONSTRAINTS USING AN AUXILIARY ARRAY PREPROCESSOR
SUBJECT 4. DISPLAYS, PATTERN RECOGNITION, HUMAN DECISION
ERROR AND REJECT TRADEOFF FOR NEAREST NEIGHBOR DECISION RULES
TWO-DIMENSIONAL SPECTRAL ANALYSIS FOR IMAGE CODING, PROCESSING AND RECOGNITION: AN APPROACH BASED ON SOME PROPERTIES OF THE HUMAN VISUAL SYSTEM
SUBJECT 5. RELEVANT INPUTS FROM OTHER FIELDS
SPECTRUM ANALYSIS
AUTOREGRESSIVE AND MAXIMUM LIKELIHOOD SPECTRAL ANALYSIS
CONFIDENCE INTERVALS FOR MAXIMUM ENTROPY SPECTRAL ESTIMATES
TEAM DECISION THEORY IN THE OPTIMAL CONTROL OF A COMMUNICATION NETWORK
TOPOLOGICAL STRUCTURE IN GROUP TRANSFORMS
SOME SIGNAL PROCESSING ASPECTS IN MEDICAL ULTRASOUND
RECHERCHE ET CARACTERISATION DE DEPENDANCES LINEARES
ENTRE SIGNAUX PAR ANALYSE INTERSPECTRALE. APPLICATIONS
SUBJECT 6. MODERN PROCESSOR ARCHITECTURE AND TECHNIQUES
LINEAR SIGNAL PROCESSING ARCHITECTURES
SURFACE-ACOUSTIC-WAVE DEVICES FOR SIGNAL PROCESSING
ONE/TWO DIMENSIONAL DIGITAL SIGNAL PROCESSORS
SURFACE-ACOUSTIC-WAVE FOURIER-TRANSFORM PROCESSORS
HIGH RESOLUTION SONAR SIMULATION TECHNIQUES
SUMMARIES OF WORKSHOPS
PROPERTIES OF TIME/SPACE VARIANT CHANNEL
AUTOREGRESSIVE SPECTRAL ANALYSIS
ADAPTIVE ARRAY PROCESSING
INDEX OF NAMES

http://nitroflare.com/view/842103C47BD02C8/AspectsSignalProcessing772.pdf

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