ABOUT THE BOOK Probability‎,‎ Random Variables and Random Signal Principles offers clear and concise coverage of theories of probability‎,‎ random variables‎,‎ and random signals‎,‎ including the response of linear networks to random waveforms for the junior‎-senior level course in electrical engineering‎.‎ The book offers a careful‎,‎ logical organization which stresses fundamentals and includes almost 900 student exercises and abundant practical applications for engineers to understand probability concepts‎.‎ The new edition sought to provide better integration of the material covering continuous and discrete time process‎,‎ by presenting the material in parallel as much as possible‎.‎ This should enable the student to better appreciate the similarities and differences between the same concepts when applied to continuous time and discrete time processes‎.‎ This edition features‎:‎ Digital Topics‎:‎ Discussion on the continuous‎-time and discrete‎-time is clearly differentiated in Chapter 8‎.‎ The discrete‎-time material retains the coverage of sampling theorems ‎(‎baseband and bandpass‎)‎ for random processes as a foundation for the DT material‎.‎ Correlation functions and power spectrums for these processes‎,‎ which are developed and connected through the sampling theorems and the DT Fourier transforms‎,‎ are covered in Chapters 7 and 8‎,‎ with some introduction in sections 6.1‎-6.3‎.‎ The structure of linear DT digital systems is developed in both the sequence and transform domains‎.‎ Problems‎:‎ End of chapter problems have been combined into a single list with numbering that corresponds to the chapter‎'‎s section to which the problems mainly apply‎.‎ Starred sections‎:‎ The level of coverage of the material is intended for a typical undergraduate program‎.‎ However a small amount of more advanced material has been scattered throughout the book to serve as stimulation for the more advanced student or for schools using the book at a higher level‎.‎ These sections are indicated by a star ‎(‎*‎)‎‎.‎ MATLAB‎-based examples and problems‎:‎ They have been integrated into the text in key places ‎(‎indicated by a computer icon‎)‎‎.‎ NEW TO THIS EDITION The discussions of complex valued random variables and random processes in Chapters 5‎-7 have been updated to include a description of the pseudo‎-variance and pseudo‎-covariance‎.‎ Chapter 6 was reorganized to separate the discussions of the concepts of distributions and moments‎,‎ stationarity‎,‎ and ergodicity into separate sections‎,‎ and reordered the presentation‎.‎ In Chapter 7‎,‎ the coverage of power spectrum for discrete time processes was brought forward and updated‎.‎ New examples have also been introduced in Chapters 6 and 7 to better illustrate discrete time processes‎.‎ Chapter 8 has been restructured to present the introductory concepts of continuous‎-time and discrete‎-time linear systems simultaneously‎.‎ The book has a Companion Website ‎(‎www‎.‎mheducation‎.‎asia/olc/peebles‎)‎ that includes a downloadable version of the solutions manual for students and instructors as well as JPEG files of the book‎'‎s figures for instructors‎.‎