Rate this book
What to read after Minimax Robustness in Signal Processing for Communications?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Minimax Robustness in Signal Processing for Communications" by Muhammad Danish Nisar! 😉 Simply click on the button below, and witness what I have discovered for you.
Minimax Robustness in Signal Processing for Communications
Muhammad Danish Nisar
Abstract:
From a signal processing for communications perspective, three fundamental transceiver design components are the channel precoder, the channel estimator, and the channel equalizer. The optimal design of these blocks is typically formulated as an optimization problem with a certain objective function, and a given constraint set. However, besides the objective function and the constraint set, their optimal design crucially depends upon the adopted system model and the assumed system state. While, optimization under a perfect knowledge of these underlying parameters (system model and state) is relatively straight forward and well explored, the optimization under their imperfect (partial or uncertain) knowledge is more involved and cumbersome. Intuitively, the central question that arises here is: should we fully trust the available imperfect knowledge of the underlying parameters, should we just ignore it, or should we go for an “intermediate” approach?
This thesis deals with three crucial transceiver design problems from a signal processing for communications perspective, and attempts to answer the fundamental question of how to handle the presence of uncertainty about the design parameters in the respective optimization problem formulations.
Are you curious to discover the likelihood of your enjoyment of "Minimax Robustness in Signal Processing for Communications" by Muhammad Danish Nisar? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.