A Novel Adaptive Multilevel - Quadrature Amplitude Modulation (M-QAM) Receiver Using Machine Learning to Mitigate Multipath Fading Channel Effects

Text Registration

A Novel Adaptive Multilevel - Quadrature Amplitude Modulation (M-QAM) Receiver Using Machine Learning to Mitigate Multipath Fading Channel Effects

Status

Published

on 26 Jul 2018

Year of Creation

2018

Emmanuel Gonzales Ceballos

Registration Number

TX0008621917

on 26 Jul 2018

The U.S. Copyright record (Registration Number: TX0008621917) dated 26 Jul 2018, pertains to an electronic file (eService) titled "A Novel Adaptive Multilevel - Quadrature Amplitude Modulation (M-QAM) Receiver Using Machine Learning to Mitigate Multipath Fading Channel Effects" created in 2018. The copyright holder is Emmanuel Gonzales Ceballos, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Emmanuel Gonzales Ceballos.

Emmanuel Gonzales Ceballos

Application Details

Registration Number

TX0008621917

Registration Date

7/26/2018

Year of Creation

2018

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Emmanuel Gonzales Ceballos

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: A Novel Adaptive Multilevel - Quadrature Amplitude Modulation (M-QAM) Receiver Using Machine Learning to Mitigate Multipath Fading Channel Effects

Author Statement: Emmanuel Gonzales Ceballos Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: A Novel Adaptive Multilevel - Quadrature Amplitude Modulation (M-QAM) Receiver Using Machine Learning to Mitigate Multipath Fading Channel Effects

Author Statement: Emmanuel Gonzales Ceballos Citizenship: not known Authorship: text

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