Signals, Systems And Inference

Signals, Systems and Inference (Repost)  eBooks & eLearning

Posted by DZ123 at July 8, 2017
Signals, Systems and Inference (Repost)

Alan V. Oppenheim, George C. Verghese, "Signals, Systems and Inference"
English | 2015 | ISBN: 0133943283 | PDF | pages: 604 | 15.1 mb

Signals, Systems and Inference, Global Edition  eBooks & eLearning

Posted by hill0 at Dec. 9, 2020
Signals, Systems and Inference, Global Edition

Signals, Systems and Inference, Global Edition
by Alan Oppenheim

English | 2017 | ISBN: 1292156201 | 606 Pages | PDF | 5 MB

Photonic Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology)  eBooks & eLearning

Posted by Free butterfly at Nov. 30, 2024
Photonic Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology)

Photonic Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology) by Aleksandr Raikov
English | March 27, 2024 | ISBN: 9819712904 | 127 pages | MOBI | 4.86 Mb

A First Course in Statistics for Signal Analysis  eBooks & eLearning

Posted by AvaxGenius at Aug. 22, 2022
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.

Advanced Digital Signal Processing and Noise Reduction  eBooks & eLearning

Posted by Free butterfly at Feb. 27, 2020
Advanced Digital Signal Processing and Noise Reduction

Advanced Digital Signal Processing and Noise Reduction by Saeed V. Vaseghi
English | March 2, 2009 | ISBN: 0470754060 | 544 pages | PDF | 18 Mb

Photonic Artificial Intelligence  eBooks & eLearning

Posted by hill0 at March 28, 2024
Photonic Artificial Intelligence

Photonic Artificial Intelligence
English | 2024 | ISBN: 9819712904 | 127 Pages | PDF EPUB (True) | 12 MB

Brain Computer Interfacing Via Spiking Neuromorphic Networks  eBooks & eLearning

Posted by ELK1nG at July 12, 2022
Brain Computer Interfacing Via Spiking Neuromorphic Networks

Brain Computer Interfacing Via Spiking Neuromorphic Networks
Last updated 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.35 GB | Duration: 3h 48m

Spiking Neuromorphic Computing via PyCARL & Wyrm (Python): Understanding Brain Computer Interfacing (BCI) & Tiny ML

A First Course in Statistics for Signal Analysis  eBooks & eLearning

Posted by insetes at Feb. 28, 2019
A First Course in Statistics for Signal Analysis

A First Course in Statistics for Signal Analysis By Wojbor A. Woyczynski (auth.)
2011 | 261 Pages | ISBN: 0817681000 | PDF | 5 MB

Deep Learning Architectures - 2023  eBooks & eLearning

Posted by BlackDove at Feb. 17, 2023
Deep Learning Architectures - 2023

Deep Learning Architectures - 2023
Updated 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 68 lectures • 42h 36m | Size: 25 GB


Machine Learning, Natural Language Processing, Computer Vision, Adversarial Learning, Neural Networks, NLP

Xilinx Vivado Design Suite HLx Editions 2020.2  Software

Posted by scutter at Dec. 6, 2020
Xilinx Vivado Design Suite HLx Editions 2020.2

Xilinx Vivado Design Suite HLx Editions 2020.2 | 47.7 Gb

Xilinx, Inc. announced the Vivado Design Suite HLx Editions 2020.2, enabling a new ultra high productivity approach for designing All Programmable SoCs, FPGAs, and the creation of reusable platforms.