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[Get.Jhbl] Adaptive Signal Models Theory Algorithms and Audio Applications (The Springer International Series in Engineering and Computer Science)

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Book Details :
Published on: 1998-10-31
Released on: 1998-10-31
Original language: English

Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-perfect reconstruction, the distinction between parametric and nonparametric methods, the role of compaction in signal modeling, basic and overcomplete signal expansions, and time-frequency resolution issues. These topics arise throughout the book as do a number of other topics such as filter banks and multiresolution. The second chapter gives a detailed development of the sinusoidal model as a parametric extension of the short-time Fourier transform. This leads to multiresolution sinusoidal modeling techniques in Chapter Three, where wavelet-like approaches are merged with the sinusoidal model to yield improved models. In Chapter Four, the analysis-synthesis residual is considered; for realistic synthesis, the residual must be separately modeled after coherent components (such as sinusoids) are removed. The residual modeling approach is based on psychoacoustically motivated nonuniform filter banks. Chapter Five deals with pitch-synchronous versions of both the wavelet and the Fourier transform; these allow for compact models of pseudo-periodic signals. Chapter Six discusses recent algorithms for deriving signal representations based on time-frequency atoms; primarily, the matching pursuit algorithm is reviewed and extended. The signal models discussed in the book are compact, adaptive, parametric, time-frequency representations that are useful for analysis, coding, modification, and synthesis of natural signals such as audio. The models are all interpreted as methods for decomposing a signal in terms of fundamental time-frequency atoms; these interpretations, as well as the adaptive and parametric natures of the models, serve to link the various methods dealt with in the text. Adaptive Signal Models: Theory, Algorithms and Audio Applications serves as an excellent reference for researchers of signal processing and may be used as a text for advanced courses on the topic. International Journal of Engineering Research and ... International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research .. Resolve a DOI Name Type or paste a DOI name into the text box. Click Go. Your browser will take you to a Web page (URL) associated with that DOI name. Send questions or comments to doi ... Information theory - Wikipedia Information theory is based on probability theory and statistics. Information theory often concerns itself with measures of information of the distributions ... Thierry DUTOIT - TCTS Lab Prof. T. Dutoit teaches Circuit Theory Signal Processing Applied Signal Processing and Biomedical Signal processing. His research interests are in speech and audio ... Faculty Fellows - The Alan Turing Institute Faculty Fellows The Alan Turing Institute and its five partner universities have announced a list of inaugural Faculty Fellows. Below is the full list with clickable ... Data compression - Wikipedia Audio data compression not to be confused with dynamic range compression has the potential to reduce the transmission bandwidth and storage requirements of audio data. ELECTRICAL & ELECTRONICS ENGINEERING *Some lab experiments must be performed using any circuit simulation software e.g. PSPICE. BACHELOR OF TECHNOLOGY (Electrical & Electronics Engineering) International Journal of Engineering Research and Applications International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research .. MSc in Computer Science - Student projects Website for the Department of Computer Science at the heart of computing and related interdisciplinary activity at Oxford. Probabilistic machine learning and artificial intelligence ... Probabilistic machine learning and artificial intelligence. Zoubin Ghahramani 1 Journal name: Nature Volume: 521 Pages: 452459 Date published: (28 May 2015)
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