|
|
Sold Out
Book Categories |
| I | Independent component analysis and blind source separation | 1 |
| 1 | Overview of independent component analysis | 5 |
| 2 | Strategies for blind source separation | 13 |
| II | The geometry of mixtures | 19 |
| 3 | Mixing and unmixing | 21 |
| 4 | Unmixing using the inner product | 31 |
| 5 | Independence and probability density functions | 51 |
| III | Methods for blind source separation | 69 |
| 6 | Projection pursuit | 71 |
| 7 | Independent component analysis | 79 |
| 8 | Complexity pursuit | 111 |
| 9 | Gradient ascent | 119 |
| 10 | Principal component analysis and factor analysis | 129 |
| IV | Applications | 137 |
| 11 | Applications of ICA | 139 |
| V | Appendices | 149 |
| A | A vector matrix tutorial | 151 |
| B | Projection pursuit gradient ascent | 157 |
| C | Projection pursuit : stepwise separation of sources | 163 |
| D | ICA gradient ascent | 165 |
| E | Complexity pursuit gradient ascent | 173 |
| F | Principal component analysis for preprocessing data | 179 |
| G | Independent component analysis resources | 183 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Benjamin Andrews
reviewed Independent Component Analysis: A Tutorial Introduction on March 29, 2014 Independent Component Analysis: A Tutorial Introduction
This book is an excellent introduction to the topic of independent component analysis. Though it covers this topic using a rigorous mathematical apparatus, it does so by repeating difficult or unusual issues many times and by giving real-worl examples.
I recommend it to everyone who is just starting to learn about ICA.
Login|Complaints|Blog|Games|Digital Media|Souls|Obituary|Contact Us|FAQ
CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X
You must be logged in to add to WishlistX
This item is in your Wish List
X
This item is in your Collection
Independent Component Analysis: A Tutorial Introduction
X
This Item is in Your Inventory
Independent Component Analysis: A Tutorial Introduction
X
You must be logged in to review the productsX
X
X
Add Independent Component Analysis: A Tutorial Introduction, Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so, Independent Component Analysis: A Tutorial Introduction to the inventory that you are selling on WonderClubX
X
Add Independent Component Analysis: A Tutorial Introduction, Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so, Independent Component Analysis: A Tutorial Introduction to your collection on WonderClub |
