From post

Local frequency estimation-based space/spatial-frequency optimal filter developed in the RTL design methodology versus the corresponding GPU-based implementations.

, , , и . MECO, стр. 174-177. IEEE, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Signal adaptive hardware implementation of a smart system for time-frequency signal analysis., , , и . MECO, стр. 72-76. IEEE, (2014)Local frequency estimation-based space/spatial-frequency optimal filter developed in the RTL design methodology versus the corresponding GPU-based implementations., , , и . MECO, стр. 174-177. IEEE, (2015)Signal Adaptive Systems Used in Analysis and Estimation of Nonstationary 1D Signals: Principles of Functioning and Designing., , и . MECO, стр. 1-4. IEEE, (2021)Principles of Functioning of Signal Adaptive Systems for Space/Spatial-Frequency Analysis., , и . MECO, стр. 1-4. IEEE, (2021)On the sliding matrix function based Wiener filter for highly nonstationary two-dimensional FM signal estimation., , и . MECO, стр. 120-123. IEEE, (2012)Improved design of a space/spatial-frequency filter., , , и . MECO, стр. 132-135. IEEE, (2013)Design Principles of Efficient Data-driven S-transform Hardware Realization., , , и . MECO, стр. 1-4. IEEE, (2023)System for S-transform Realization., , , и . MECO, стр. 1-4. IEEE, (2021)A pipelined time-frequency filter implementation., , и . MECO, стр. 136-139. IEEE, (2013)New Approach in the Creation of Region of Support of an Advanced Optimal Space/Spatial-Frequency Filter., и . EUROCON, стр. 389-393. IEEE, (2023)