Difference between revisions of "Theory of Stochastic Signals"
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− | *[[/Probability Density Function/]] | + | *[[/Probability Density Function (PDF)/]] |
*[[/Cumulative Distribution Function/]] | *[[/Cumulative Distribution Function/]] | ||
*[[/Expected Values and Moments/]] | *[[/Expected Values and Moments/]] |
Revision as of 16:02, 2 January 2022
⇒We are just beginning the English translation of this book.
This third book of our learning tutorial deals in detail with stochastic signals and their modeling.
- Knowledge of stochastic signal theory is an important prerequisite for understanding the following books, which focus on transmission aspects.
- Knowledge of the first two LNTwww books, which include the representation of deterministic signals and the description of LTI systems ⇒ "linear and time-invariant systems" is helpful for understanding this book, but not required.
The course material corresponds to a lecture with three semester hours per week (sh/w) and two sh/w exercises.
Here is a table of contents based on the five main chapters with a total of 28 individual chapters.
Content
In addition to these theory pages, we also offer tasks and multimedia modules on this topic, which could help to clarify the teaching material:
Other links:
(2) General notes about the book (authors, other participants, materials as a starting point for the book, list of sources)