White noise in Matlab — generate, analyze, and measure power
How to simulate white noise in Matlab, check spectrum and power, and relate AWGN variance to SNR — with links to AWGN generation and BER tools.
Random Process
Derive BPSK BER – optimum receiver in AWGN channel
BPSK Lab path:Derive BER (theory) → AWGN noise model → BER simulation (Python & Matlab)Tools: BER vs Eb/N0 calculator · Shannon capacity Key focus: Derive BPSK BER (bit error rate) for optimum receiver in AWGN channel. Explained intuitively step by step. BPSK modulation is the simplest of all the M-PSK techniques. An insight into the … Read more
Q-function, erf, and erfc explained (with BPSK BER link)
What the Gaussian Q-function, erf, and erfc mean, how to convert between them, and how they appear in AWGN BER formulas — with a plot, Python, and a link to the BER calculator.
Random Variables, CDF and PDF
Introduction to Probability: The Foundation of Random Signals In the world of communication engineering, “certainty” is a luxury we don’t have. From the thermal noise in your smartphone’s receiver to the fading of a satellite signal, every process we analyze is governed by uncertainty. Probability is the mathematical language that allows us to model … Read more