Lecture Signals, systems & inference – Lecture 16: Wide-sense stationary processes; LTI filtering of WSS processes. The following will be discussed in this chapter: Random process; iid signal x[n], uniform in []; y=h*x, with h[n] = δ[n] + δ[n-1]; y=h*x, with h[n] = () n u[n]; |H| when h[n]=() n u[n]. | Lecture Signals systems inference Lecture 16 Wide-sense stationary processes LTI filtering of WSS processes