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Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

Posted By: AvaxGenius
Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges: Montreal, QC, Canada, August 21–25, 2022, Proceedings, Part II by Jean-Jacques Rousseau, Bill Kapralos
English | PDF (True) | 2023 | 732 Pages | ISBN : 3031377419 | 116.6 MB

This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.

Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

Posted By: AvaxGenius
Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges: Montreal, QC, Canada, August 21–25, 2022, Proceedings, Part II by Jean-Jacques Rousseau, Bill Kapralos
English | PDF (True) | 2023 | 732 Pages | ISBN : 3031377419 | 116.6 MB

This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.

A First Course in Statistics for Signal Analysis

Posted By: AvaxGenius
A First Course in Statistics for Signal Analysis

A First Course in Statistics for Signal Analysis by Wojbor A. Woyczynski
English | PDF(True) | 2011 | 271 Pages | ISBN : 0817681000 | 4.9 MB

'A First Course in Statistics for Signal Analysis' is a small, dense, and inexpensive book that covers exactly what the title says: statistics for signal analysis. The book has much to recommend it. The author clearly understands the topics presented. The topics are covered in a rigorous manner, but not so rigorous as to be ostentatious. The sequence of topics is clearly targeted at the spectral properties of Gaussian stationary signals. Any student studying traditional communications and signal processing would benefit from an understanding of these topics…In summary, [the work] has much in its favor…This book is most appropriate for a graduate class in signal analysis. It also could be used as a secondary text in a statistics, signal processing, or communications class.

Select Topics in Signal Analysis

Posted By: hill0
Select Topics in Signal Analysis

Select Topics in Signal Analysis
English | 2023 | ISBN: 1032384158 | 397 Pages | PDF (True) | 11 MB

Luminescence Signal Analysis Using Python

Posted By: readerXXI
Luminescence Signal Analysis Using Python

Luminescence Signal Analysis Using Python
by Vasilis Pagonis
English | 2022 | ISBN: 3030967972 | 409 pages | True ePUB | 83 MB

Python for Signal Processing: Featuring IPython Notebooks

Posted By: AvaxGenius
Python for Signal Processing: Featuring IPython Notebooks

Python for Signal Processing: Featuring IPython Notebooks by José Unpingco
English | PDF(True) | 2014 | 134 Pages | ISBN : 3319013416 | 3.7 MB

This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text.

Luminescence Signal Analysis Using Python

Posted By: hill0
Luminescence Signal Analysis Using Python

Luminescence Signal Analysis Using Python
English | 2022 | ISBN: 3030967972 | 409 Pages | PDF | 12 MB

Multiscale Signal Analysis and Modeling

Posted By: AvaxGenius
Multiscale Signal Analysis and Modeling

Multiscale Signal Analysis and Modeling by Xiaoping Shen
English | PDF | 2013 | 387 Pages | ISBN : 1461441447 | 5.7 MB

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory.

Handbook of Radar Signal Analysis

Posted By: yoyoloit
Handbook of Radar Signal Analysis

Handbook of Radar Signal Analysis
by Bassem R. Mahafza

English | 2021 | ISBN: 1138062863 | 707 pages | True PDF | 27.13 MB

Hands-on Signal Analysis with Python: An Introduction

Posted By: hill0
Hands-on Signal Analysis with Python: An Introduction

Hands-on Signal Analysis with Python: An Introduction
English | 2021 | ISBN: 3030579026 | 283 Pages | PDF EPUB | 95 MB

Machine Intelligence and Signal Analysis (Repost)

Posted By: AvaxGenius
Machine Intelligence and Signal Analysis (Repost)

Machine Intelligence and Signal Analysis by M. Tanveer
English | PDF | 2019 | 757 Pages | ISBN : 9811309221 | 28.47 MB

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques.