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A comprehensive study of dynamic spectrum access using machine learning methods

By: Sonia

Material type: Text

TextPublisher: Hamirpur : National Institute of Technology, Hamirpur 2022Description: xii, 67pDDC classification: 621.38 Dissertation note: Dual Degree Program, Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2022 Guide / Supervisor: Singh, Sandeep Kumar

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis or Dissertation	Central Library On Display	621.38 SON (Browse shelf)	Available		TH-1577
Thesis or Dissertation	Electronics and Communication Engineering (Departmental Library) On Display	621.38 SON (Browse shelf)	Available		EC-DR-369

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Previous	621.38 SOL Design and analysis of low power VCO for VLSI and communication system.	621.38 SON Impact of process variation on the performance of VLSI circuits.	621.38 SON Detailed study on fiber non linearity :self phase modulation (spm) and cross phase modulation (cpm) effect on various parameters in optical transmission system	621.38 SON A comprehensive study of dynamic spectrum access using machine learning methods	621.38 SON Multi-stage localization for massive mimo 5g system	621.38 SRE Modeling and analysis of carbon nanotube based interconnects.	621.38 SRI Comparative analysis of OFDM with carrier frequency offset in various channels.	Next

Dual Degree Program, Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2022

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A comprehensive study of dynamic spectrum access using machine learning methods

By: Sonia

Browsing Electronics and Communication Engineering (Departmental Library) shelves, Shelving location: On Display Close shelf browser