Đang chuẩn bị liên kết để tải về tài liệu:
Lecture Signals, systems & inference – Lecture 12: Probabilistic models, random variables

Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ

Lecture Signals, systems & inference – Lecture 12: Probabilistic models, random variables. The following will be discussed in this chapter: Sample space and events, random variable, joint pdf, marginal pdfs. | Lecture Signals systems inference Lecture 12 Probabilistic models random variables

TÀI LIỆU LIÊN QUAN

Lecture Signals, systems & inference – Lecture 1: Introduction

Lecture Signals, systems & inference – Lecture 2: Transforms

Lecture Signals, systems & inference – Lecture 3: Energy spectral density

Lecture Signals, systems & inference – Lecture 4: State-Space Models

Lecture Signals, systems & inference – Lecture 5: State-space models, equilibrium, linearization

Lecture Signals, systems & inference – Lecture 6: Modal solution of undriven CT LTI state-space models

Lecture Signals, systems & inference – Lecture 7: Full modal solution, asymptotic stability, reachability and observability

Lecture Signals, systems & inference – Lecture 8: Matrix exponential, ZIR+ZSR, transfer function, hidden modes, reaching target states

Lecture Signals, systems & inference – Lecture 9: Observers for state estimation

Lecture Signals, systems & inference – Lecture 10: Observers, state feedback