Line 11: Line 11:
  
 
2. <math>\int_{-\infty}^{\infty}f_{\mathbf{X}}\left(x\right)dx=1</math>
 
2. <math>\int_{-\infty}^{\infty}f_{\mathbf{X}}\left(x\right)dx=1</math>
 +
----
 +
[[ECE600|Back to ECE600]]
 +
 +
[[ECE 600 Prerequisites|Back to ECE 600 Prerequisites]]

Revision as of 11:15, 17 November 2010

1.7 CDF (Cumulative Distribution Function) and PDF (Probability Density Function)

From the ECE600 Pre-requisites notes of Sangchun Han, ECE PhD student.


$ F_{\mathbf{X}}\left(x\right)=P\left(\left\{ \mathbf{X}\leq x\right\} \right) $

$ f_{\mathbf{X}}\left(x\right)=\frac{d}{dx}F_{\mathbf{X}}\left(x\right) $

Valid PDF

1. $ f_{\mathbf{X}}\left(x\right)\geq0,\;\forall x\in\mathbf{R} $

2. $ \int_{-\infty}^{\infty}f_{\mathbf{X}}\left(x\right)dx=1 $


Back to ECE600

Back to ECE 600 Prerequisites

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang