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Probability, Random Variables and Random Signal Principles P. Peebles
Publisher: McGraw-Hill

Basic Discrete Mathematics: Counting principles, linear recurrence, mathematical induction, equation sets, relations and function, predicate and propositional logic. Noise: Atmospheric, thermal, shot and partition noise, noise figure and experimental determination of noise figure, minimum noise figures in networks. Digital Logic: Logic functions, Minimization, Design and synthesis of combinational and Random signals and noise: probability, random variables, probability density function, autocorrelation, power spectral density. P.Z.Peebles Jr., "Probability Random Variables and Random Signal Principles. Ibe, “Fundamentals of Applied probability and Random processes”,. Besides, in those systems, there is always the existence of various types of random signals, such as noise (temperature impact of electronic components), interference (random effects of other signals in the environment of communication), the transmission and receiving of random information (such as For probability and statistics, the subject includes: the probabilistic model, the basic concepts of probability theory, random variables, multiple random variables, and random processes. Modulation theory and PDM, PPM, PCM, delta modulation and circuits. Elsevier, First Indian Reprint ( 2007) (For units 1 and 2). Discrete probability theory, continuous random variables, probability density functions, ergodic processes, correlation function, spectral density, white noise. P.Z., “Probability Random Variables and Random Signal Principles”, Tata. Probability and Statistics: Mean, median, mode and standard deviation, Random variables, Poisson, normal, geometric and binomial distributions, Bernoulli trials. Principle multiplexingFDM and TDM.