Tag Archives: BEAMFORMER

Study and Design of Differential Microphone Arrays

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Jacob Benesty, Jingdong Chen, "Study and Design of Differential Microphone Arrays"
English | 2013 | ISBN-10: 364233752X, 3642427561 | 180 pages | PDF | 6 MB

Study and Design of Differential Microphone Arrays
Microphone arrays have attracted a lot of interest over the last few decades since they have the potential to solve many important problems such as noise reduction/speech enhancement, source separation, dereverberation, spatial sound recording, and source localization/tracking, to name a few. However, the design and implementation of microphone arrays with beamforming algorithms is not a trivial task when it comes to processing broadband signals such as speech. Indeed, in most sensor arrangements, the beamformer output tends to have a frequency-dependent response. One exception, perhaps, is the family of differential microphone arrays (DMAs) who have the promise to form frequency-independent responses. Moreover, they have the potential to attain high directional gains with small and compact apertures. As a result, this type of microphone arrays has drawn much research and development attention recently. This book is intended to provide a systematic study of DMAs from a signal processing perspective. The primary objective is to develop a rigorous but yet simple theory

for the design, implementation, and performance analysis of DMAs. The theory includes some signal processing techniques for the design of commonly used first-order, second-order, third-order, and also the general Nth-order DMAs. For each order, particular examples are given on how to form standard directional patterns such as the dipole, cardioid, supercardioid, hypercardioid, subcardioid, and quadrupole. The study demonstrates the performance of the different order DMAs in terms of beampattern, directivity factor, white noise gain, and gain for point sources. The inherent relationship between differential processing and adaptive beamforming is discussed, which provides a better understanding of DMAs and why they can achieve high directional gain. Finally, we show how to design DMAs that can be robust against white noise amplification.
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“Aspects of Signal Processing With Emphasis on Underwater Acoustics, Part 2” ed. by G. Tacconi

"Aspects of Signal Processing With Emphasis on Underwater Acoustics, Part 2" ed. by G. Tacconi
NATO Division of Scientific Affairs. NATO Advanced Study Institute Series C: Mathematical and Physical Sciences, vol. 33-2
Springer Science+Business | 1977/1991 | ISBN: 9027708002 9789027708007 9789401053501 9789401130363 | 380 pages | PDF | 14 MB
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
with TOC BookMarkLinks

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