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CHAPTER 3 DELTA MODULATION

CHAPTER 3 DELTA MODULATION

CHAPTER 3 DELTA MODULATION. 3.12 Delta Modulation Delta Sigma Modulation 3.13 Linear Prediction 3.14 Differential Pulse Code Modulation 3.15 Adaptive Differential Pulse Code Modulation. Outline.

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1.29k views • 44 slides
Lesson 8: Basic Monte Carlo integration

Lesson 8: Basic Monte Carlo integration

Lesson 8: Basic Monte Carlo integration. We begin the 2 nd phase of our course: Study of general mathematics of MC Consists of a progression: Monte Carlo evaluation of integrals (4 ways) Basic numerical analysis framework (to explain the 4 ways) MC evaluation of integral equations

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627 views • 42 slides
Chapter 5 Stratified Random Sampling

Chapter 5 Stratified Random Sampling

Chapter 5 Stratified Random Sampling. Advantages of stratified random sampling How to select stratified random sample Estimating population mean and total Determining sample size, allocation Estimating population proportion; sample size and allocation Optimal rule for choosing strata.

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701 views • 25 slides
12.215 Modern Navigation

12.215 Modern Navigation

12.215 Modern Navigation. Thomas Herring ( tah@mit.edu ), http://geoweb.mit.edu/~tah/12.215. Review of last class. Map Projections: Why projections are needed Types of map projections Classification by type of projection Classification by characteristics of projection

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325 views • 20 slides
Point Estimation

Point Estimation

Point Estimation. W&W, Chapter 7. Introduction. Population parameters like the mean ( ? ) and variance ( ? 2 ) are constants because there is only one true estimate of each.

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799 views • 12 slides

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