Connexions

You are here: Home » Content » DMT: Serial/Parallel, Parallel/Serial
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 ELEC 301 Project Lens
    By: Rice University ELEC 301As a part of collection:"ECE 301 Projects Fall 2003"

    Click the "Rice University ELEC 301 Projects" link to see all content affiliated with them.

    Rice University ELEC 301 Projects

  • This module is included inLens: Rice University OpenCourseWare
    By: OpenCourseWare ConsortiumAs a part of collection:"ECE 301 Projects Fall 2003"

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

    Rice University OCW
Tags

(?)

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

DMT: Serial/Parallel, Parallel/Serial

Module by: Cosme Garza

Summary: Describes how serial to parallel conversion was implemented in our DMT project.

S/P, P/S

The concepts of serial-to-parallel and parallel-to-serial conversion are trivial. In S/P, a long stream of data is broken up into several equal-length (or approximately equal-length) "chunks" which can all be operated upon at the same time. In P/S, these pieces are concatenated one right after the another into a long data stream. Their implementation in MATLAB is also trivial; all one has to do is manipulate a vector into several columns of a matrix, or take a matrix and concatenate its columns. However, S/P conversion is very important in DMT. The blocks produced in S/P are the input to the constellation mapping, which is basically representing segments of bits as spectral coefficients. The length of the blocks (along with the the constellation used) determine the number of spectral coefficients to be used by the IFFT; i.e. S/P is essential in choosing how many frequencies are to be used. Usually, the block length is a power of 2, which makes the IFFT and FFT algorithms most computationally efficient.
Our related MATLAB functions: series2parallel.m, parallel2series.m

Comments, questions, feedback, criticisms?

Send feedback