Difference between revisions of "Theory of Stochastic Signals"

From LNTwww
Line 28: Line 28:
 
{{Collapse3 | header=Continuous Random Variables
 
{{Collapse3 | header=Continuous Random Variables
 
|submenu=
 
|submenu=
*[[/Probability Density Function/]]
+
*[[/Probability Density Function (PDF)/]]
*[[/Cumulative Distribution Function/]]
+
*[[/Cumulative Distribution Function (CDF)/]]
 
*[[/Expected Values and Moments/]]
 
*[[/Expected Values and Moments/]]
 
*[[/Uniformly Distributed Random Variables/]]
 
*[[/Uniformly Distributed Random Variables/]]
Line 51: Line 51:
 
*[[/Digital Filters/]]
 
*[[/Digital Filters/]]
 
*[[/Creation of Predefined ACF Properties/]]
 
*[[/Creation of Predefined ACF Properties/]]
*[[/Matched Filters/]]
+
*[[/Matched Filter/]]
 
*[[/Wiener–Kolmogorow Filter/]]
 
*[[/Wiener–Kolmogorow Filter/]]
 
}}
 
}}

Revision as of 17:02, 12 October 2021

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  $\text{LNTwww}$ books, which include the representation of $\text{ Deterministic Signals}$  and the description of  $\text{Linear Time-Invariant Systems}$  is helpful for understanding this book, but not required.


The course material corresponds to a  $\text{lecture with three semester hours per week (SWS) and two SWS exercises}$.

Here, first, is an overview of the contents based on the  $\text{five main chapters}$  with a total of  $\text{28 individual chapters}$.


Content

Neben diesen Theorieseiten bieten wir auch Aufgaben und multimediale Module an, die zur Verdeutlichung des Lehrstoffes beitragen könnten:



$\text{Weitere Links:}$

$(1)$    $\text{Literaturempfehlungen zum Buch}$

$(2)$    $\text{Allgemeine Hinweise zum Buch}$   (Autoren,  Weitere Beteiligte,  Materialien als Ausgangspunkt des Buches,  Quellenverzeichnis)