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Titlebook: Digital Signal Processing with Matlab Examples, Volume 2; Decomposition, Recov Jose Maria Giron-Sierra Textbook 2017 Springer Science+Busin

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發(fā)表于 2025-3-21 19:09:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Digital Signal Processing with Matlab Examples, Volume 2
副標(biāo)題Decomposition, Recov
編輯Jose Maria Giron-Sierra
視頻videohttp://file.papertrans.cn/280/279691/279691.mp4
概述Offers a wealth of MATLAB programs for individual exploration.Treats the theory succinctly and with a focus on practical applications.Highlights recent developments in response to the demands of new d
叢書名稱Signals and Communication Technology
圖書封面Titlebook: Digital Signal Processing with Matlab Examples, Volume 2; Decomposition, Recov Jose Maria Giron-Sierra Textbook 2017 Springer Science+Busin
描述?.This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs..This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.. .?.
出版日期Textbook 2017
關(guān)鍵詞DSP textbook; Signal processing textbook; adaptive filtering; MATLAB Signal Processing Toolbox; Haar wav
版次1
doihttps://doi.org/10.1007/978-981-10-2537-2
isbn_softcover978-981-10-9643-3
isbn_ebook978-981-10-2537-2Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
copyrightSpringer Science+Business Media Singapore 2017
The information of publication is updating

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Data Analysis and Classificationn methodology. In this part, the chapter presents the expectation-maximization (EM) algorithm. Bayesian regression, Kriging, Gaussian processes, neurons, etc. The final section on experiments considers face detection, and K-means for picture color reduction.
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Security and Cryptography for Networkssections. Then, the next sections are devoted to the continuous wavelet transform, the lifting method, wavelet packets, and multiwavelets. There are two sections for experiments and applications, including signal denoising and compression. The final section introduces the MATLAB wavelet toolbox.
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Advances in Information Securityn methodology. In this part, the chapter presents the expectation-maximization (EM) algorithm. Bayesian regression, Kriging, Gaussian processes, neurons, etc. The final section on experiments considers face detection, and K-means for picture color reduction.
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1860-4862 hapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.. .?.978-981-10-9643-3978-981-10-2537-2Series ISSN 1860-4862 Series E-ISSN 1860-4870
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Security in the Northern European Flankestimation, with especial reference to image restoration. This section includes the Lucy-Richardson algorithm. After this, in view of aspects of interest for next chapters, the chapter presents a section on observers. Finally, there is a section with some interesting experiments.
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Wavelet Variants for 2D Analysisrtain predominant directions or curves. The central sections of the chapter introduce wavelet versions, like ridgelets, curvelets, contourlets, bandelets, etc. that try to capture these characteristics. The final sections contains experiments about image denoising, and pointers to the literature on applications.
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