I Probability And Random Processes By S Palaniammal Pdf Better -

In-depth analysis of discrete and continuous random variables, probability mass functions (PMF), probability density functions (PDF), and cumulative distribution functions (CDF).

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You cannot solve two-dimensional random variable problems without a flawless grasp of double integration and partial differentiation. Brush up on these before hitting Unit 3. Both are correct

Investigates stationary processes, Wide-Sense Stationary (WSS) processes, Ergodic processes, Markov chains, and Poisson processes.

Details auto-correlation, cross-correlation functions, Power Spectral Density (PSD), and their mathematical properties.

: Binomial, Poisson, and Geometric distributions. or build a straightforward foundation

Both are correct. But for a student encountering the concept for the first time, Palaniammal’s waveform-oriented definition builds intuition faster.

What is your specific ? (e.g., ECE, CSE, Data Science)

Final verdict

If your immediate goal is to clear a university semester exam with high marks, understand the algorithmic steps to solve cross-correlation problems, or build a straightforward foundation, Palaniammal is arguably . When You Should Look Elsewhere:

“A random process is a collection of time functions (or waveforms) associated with the outcomes of a random experiment. Each outcome yields one waveform; the entire ensemble forms the random process.”

A PDF allows for studying anywhere, from tablets to laptops, which is crucial for modern students. from tablets to laptops

: Joint probability mass functions (PMF) and probability density functions (PDF).

While Palaniammal is excellent for undergraduate clarity, other texts may be better depending on your specific goal: