1999 IEEE International Conference on Acoustics, Speech, and Signal Processing
Author :
Publisher :
Page : 722 pages
File Size : 27,95 MB
Release : 1999
Category : Electro-acoustics
ISBN :
Author :
Publisher :
Page : 722 pages
File Size : 27,95 MB
Release : 1999
Category : Electro-acoustics
ISBN :
Author :
Publisher :
Page : 716 pages
File Size : 14,92 MB
Release : 1998
Category : Electro-acoustics
ISBN :
Author : Signal processing society
Publisher :
Page : 726 pages
File Size : 17,75 MB
Release : 1999
Category : Electro-acoustics
ISBN : 9780780350410
Author : IEEE Signal Processing Society Staff
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 740 pages
File Size : 40,5 MB
Release : 1998-06
Category :
ISBN : 9780780344297
Author :
Publisher :
Page : 670 pages
File Size : 10,14 MB
Release : 2000
Category : Electro-acoustics
ISBN :
Author : David Havelock
Publisher : Springer Science & Business Media
Page : 1932 pages
File Size : 40,57 MB
Release : 2008-10-26
Category : Science
ISBN : 038730441X
The Handbook of Signal Processing in Acoustics brings together a wide range of perspectives from over 100 authors to reveal the interdisciplinary nature of the subject. It brings the key issues from both acoustics and signal processing into perspective and is a unique resource for experts and practitioners alike to find new ideas and techniques within the diversity of signal processing in acoustics.
Author : Paulo S. R. Diniz
Publisher : Springer Nature
Page : 505 pages
File Size : 28,8 MB
Release : 2019-11-28
Category : Technology & Engineering
ISBN : 3030290573
In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.
Author : Virender Kadyan
Publisher : Springer Nature
Page : 171 pages
File Size : 48,24 MB
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 3030797783
This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work. Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications; Presents and escalates the research trends and future direction of language and speech processing; Includes theoretical research, experimental results, and applications of deep learning.
Author : Francis Ring
Publisher : CRC Press
Page : 461 pages
File Size : 20,64 MB
Release : 2018-12-07
Category : Computers
ISBN : 0429590326
Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.
Author : Lina Karam
Publisher : Springer Nature
Page : 64 pages
File Size : 14,38 MB
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 3031793188
This lecture provides a hands-on glimpse of the field of electrical engineering. The introduced applications utilize the NI ELVIS hardware and software platform to explore concepts such as circuits, power, analog sensing, and introductory analog signal processing such as signal generation, analog filtering, and audio and music processing. These principals and technologies are introduced in a very practical way and are fundamental to many of the electronic devices we use today. Some examples include photodetection, analog signal (audio, light, temperature) level meter, and analog music equalizer. Table of Contents: Getting Familiar with NI ELVIS / Analog Signal Level Meter Using LEDs / Noise Removal Using Analog Filters / Music Equalizer Using Op-Amps: Volume and Treble Control / Music Composer Using 555 Timers