Connexions

You are here: Home » Content » Baseband Communication
Content Actions
Lenses

What is a lens?

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

This content is ...
Affiliated with (?)
This content is either by members of the organizations listed or about topics related to the organizations listed. Click each link to see a list of all content affiliated with the organization.
  • This module is included inLens: Rice University Disability Support Services's Lens
    By: Rice University Disability Support ServicesAs a part of collection:"Fundamentals of Electrical Engineering I"

    Comments:

    "Electrical Engineering Digital Processing Systems in Braille."

    Click the "Rice DSS - Braille" link to see all content affiliated with them.

    Rice DSS - Braille
  • This module is included inLens: Rice University OpenCourseWare
    By: OpenCourseWare ConsortiumAs a part of collection:"Fundamentals of Electrical Engineering I"

    Click the "Rice University OCW" link to see all content affiliated with them.

    Rice University OCW
Also in these lenses
  • This module is included inLens: Connexions Books Available for Print on Demand
    By: ConnexionsAs a part of collection:"Fundamentals of Electrical Engineering I"

    Comments:

    "This book was assembled for print in July 07. A braille version of this book is being produced also."

    Click the "Printable Books" link to see all content selected in this lens.

    Printable Books
Tags

(?)

These tags come from the endorsement, affiliation, and other lenses that include this content.

Baseband Communication

Module by: Don Johnson

Summary: Baseband communication is the simplest form of analog communication.

We use analog communication techniques for analog message signals, like music, speech, and television. Transmission and reception of analog signals using analog results in an inherently noisy received signal (assuming the channel adds noise, which it almost certainly does).
The simplest form of analog communication is baseband communication.
Point of Interest: We use analog communication techniques for analog message signals, like music, speech, and television. Transmission and reception of analog signals using analog results in an inherently noisy received signal (assuming the channel adds noise, which it almost certainly does).
Here, the transmitted signal equals the message times a transmitter gain.
xt=Gmt xt G mt (1)
An example, which is somewhat out of date, is the wireline telephone system. You don't use baseband communication in wireless systems simply because low-frequency signals do not radiate well. The receiver in a baseband system can't do much more than filter the received signal to remove out-of-band noise (interference is small in wireline channels). Assuming the signal occupies a bandwidth of WW Hz (the signal's spectrum extends from zero to WW), the receiver applies a lowpass filter having the same bandwidth, as shown in Figure 1.
sys17.png
Figure 1: The receiver for baseband communication systems is quite simple: a lowpass filter having the same bandwidth as the signal.
We use the signal-to-noise ratio of the receiver's output m ^ t m ^ t to evaluate any analog-message communication system. Assume that the channel introduces an attenuation αα and white noise of spectral height N02 N0 2 . The filter does not affect the signal component—we assume its gain is unity—but does filter the noise, removing frequency components above WW Hz. In the filter's output, the received signal power equals α2G2powerm α 2 G 2 powerm and the noise power N0W N0 W , which gives a signal-to-noise ratio of
SNRbaseband=α2G2powermN0W SNRbaseband α 2 G 2 powerm N0 W (2)
The signal power powermpowerm will be proportional to the bandwidth WW; thus, in baseband communication the signal-to-noise ratio varies only with transmitter gain and channel attenuation and noise level.

Comments, questions, feedback, criticisms?

Send feedback