| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 4401 |
L16.3 LMS Estimation of One Random Variable Based on Another (M-I-T)
|
Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4402 |
L15.8 Trajectory Estimation Illustration (M-I-T)
|
Lecture 15: Linear Models With Normal Noise (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4403 |
L16.4 LMS Performance Evaluation (M-I-T)
|
Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4404 |
Lecture 9.6: Gamma Decay (M-I-T)
|
Chapter 9. Nuclear Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4405 |
Lecture 10.1: Particle Interaction with Matter (M-I-T)
|
Chapter 10. Instrumentation (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4406 |
L16.5 Example: The LMS Estimate (M-I-T)
|
Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4407 |
Lecture 9.8: Fusion (M-I-T)
|
Chapter 9. Nuclear Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4408 |
L17.1 Lecture Overview (M-I-T)
|
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4409 |
Lecture 10.2: Tracking Detectors (M-I-T)
|
Chapter 10. Instrumentation (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4410 |
L16.6 Example Continued: LMS Performance Evaluation (M-I-T)
|
Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4411 |
Lecture 9.7: Fission (M-I-T)
|
Chapter 9. Nuclear Physics (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4412 |
L17.2 LLMS Formulation (M-I-T)
|
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4413 |
Lecture 10.3: Calorimetry (M-I-T)
|
Chapter 10. Instrumentation (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4414 |
L16.7 LMS Estimation with Multiple Observations or Unknowns (M-I-T)
|
Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4415 |
L17.3 Solution to the LLMS Problem (M-I-T)
|
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4416 |
Lecture 10.4: Accelerators (M-I-T)
|
Chapter 10. Instrumentation (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4417 |
L16.8 Properties of the LMS Estimation Error (M-I-T)
|
Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4418 |
L18.1 Lecture Overview (M-I-T)
|
Lecture 18: Inequalities, Convergence, and the Weak Law of Large Numbers (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4419 |
L17.4 Remarks on the LLMS Solution and on the Error Variance (M-I-T)
|
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4420 |
L18.2 The Markov Inequality (M-I-T)
|
Lecture 18: Inequalities, Convergence, and the Weak Law of Large Numbers (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4421 |
L17.5 LLMS Example (M-I-T)
|
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4422 |
L18.3 The Chebyshev Inequality (M-I-T)
|
Lecture 18: Inequalities, Convergence, and the Weak Law of Large Numbers (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4423 |
L17.6 LLMS for Inferring the Parameter of a Coin (M-I-T)
|
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4424 |
L18.4 The Weak Law of Large Numbers (M-I-T)
|
Lecture 18: Inequalities, Convergence, and the Weak Law of Large Numbers (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4425 |
L17.7 LLMS with Multiple Observations (M-I-T)
|
Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
