TY  - BOOK
AU  - Hajek,Bruce
TI  - Random processes for engineers
SN  - 1107100127
AV  - TA340 .H325 2015
U1  - 519.23 23
PY  - 2015///
CY  - Cambridge, UK
PB  - Cambridge University Press
KW  - Engineering mathematics
KW  - Study and teaching (Graduate)
KW  - Stochastic processes
KW  - Numbers, Random
N1  - Includes bibliographical references and index; 1; A selective review of basic probability --; 2; Convergence of a sequence of random variables --; 3; Random vectors and minimum mean squared error estimation --; 4; Random processes --; 5; Inference for Markov models --; 6; Dynamics for countable-state Markov models --; 7; Basic calculus of random processes --; 8; Random processes in linear systems and spectral analysis --; 9; Wiener filtering --; 10; Martingales --; 11; Appendix --; 12; Solutions to even numbered problems
N2  - "This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms"--Publisher's website
ER  -