"system of systems" trang 7 - tải miễn phí từ tailieunhanh
Lecture Signals, systems & inference – Lecture 24: Matched filtering

Lecture Signals, systems & inference – Lecture 24: Matched filtering
9    100    0
Lecture Signals, systems & inference – Lecture 1: Introduction

Lecture Signals, systems & inference – Lecture 1: Introduction
15    73    0
Lecture Signals, systems & inference – Lecture 2: Transforms

Lecture Signals, systems & inference – Lecture 2: Transforms
10    55    0
Lecture Signals, systems & inference – Lecture 3: Energy spectral density

Lecture Signals, systems & inference – Lecture 3: Energy spectral density
18    97    0
Lecture Signals, systems & inference – Lecture 4: State-Space Models

Lecture Signals, systems & inference – Lecture 4: State-Space Models
6    96    0
Lecture Signals, systems & inference – Lecture 5: State-space models, equilibrium, linearization

Lecture Signals, systems & inference – Lecture 5: State-space models, equilibrium, linearization
11    89    0
Lecture Signals, systems & inference – Lecture 6: Modal solution of undriven CT LTI state-space models

Lecture Signals, systems & inference – Lecture 6: Modal solution of undriven CT LTI state-space models
8    111    0
Lecture Signals, systems & inference – Lecture 7: Full modal solution, asymptotic stability, reachability and observability

Lecture Signals, systems & inference – Lecture 7: Full modal solution, asymptotic stability, reachability and observability
14    74    0
Lecture Signals, systems & inference – Lecture 8: Matrix exponential, ZIR+ZSR, transfer function, hidden modes, reaching target states

Lecture Signals, systems & inference – Lecture 8: Matrix exponential, ZIR+ZSR, transfer function, hidden modes, reaching target states
14    71    0
Lecture Signals, systems & inference – Lecture 9: Observers for state estimation

Lecture Signals, systems & inference – Lecture 9: Observers for state estimation
12    75    0
Lecture Signals, systems & inference – Lecture 10: Observers, state feedback

Lecture Signals, systems & inference – Lecture 10: Observers, state feedback
9    58    0
Lecture Signals, systems & inference – Lecture 11: State feedback, observer-based feedback

Lecture Signals, systems & inference – Lecture 11: State feedback, observer-based feedback
8    108    0
Lecture Signals, systems & inference – Lecture 12: Probabilistic models, random variables

Lecture Signals, systems & inference – Lecture 12: Probabilistic models, random variables
6    94    0
Lecture Signals, systems & inference – Lecture 13: Vector picture for first- and second-order statistics; MMSE and LMMSE estimation

Lecture Signals, systems & inference – Lecture 13: Vector picture for first- and second-order statistics; MMSE and LMMSE estimation
7    85    0
Lecture Signals, systems & inference – Lecture 14: LMMSE estimation, orthogonality

Lecture Signals, systems & inference – Lecture 14: LMMSE estimation, orthogonality
9    57    0
Lecture Signals, systems & inference – Lecture 15: Normal equations random processes

Lecture Signals, systems & inference – Lecture 15: Normal equations random processes
11    90    0
Lecture Signals, systems & inference – Lecture 16: Wide-sense stationary processes; LTI filtering of WSS processes

Lecture Signals, systems & inference – Lecture 16: Wide-sense stationary processes; LTI filtering of WSS processes
10    76    0
Lecture Business system development - Lecture 4: The origins of software

Lecture Business system development - Lecture 4: The origins of software
24    42    2
Lecture note Business system development - Lecture 15: Designing databases

Lecture note Business system development - Lecture 15: Designing databases
11    41    2
Lecture Business system development - Lecture 27: System analyst

Lecture Business system development - Lecture 27: System analyst
31    57    3