113_1_Week01_print

113_1_Week01_print - 1 EE 113: Digital Signal Processing...

Info iconThis preview shows pages 1–11. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: 1 EE 113: Digital Signal Processing Week 1: Introduction 1. Course overview 2. Digital Signal Processing 3. Basic operations & block diagrams 4. Classes of sequences 2 Why should I take this class? / We study various methods used in analyzing signals and linear systems These methods are fundamental to engineering design and engineering research As most of the systems we study are linear, this course paves the way for numerous fields: Control systems Communications Signal processing Multimedia processing and compression Etc. etc. Even other engineers (chemical, mechanical, bioengineering), but also business people etc. use similar tools! 3 Signal examples In electrical engineering, most signals are voltage signals. Other signals: images, music etc. 4 Two categories of signals and systems Continuous-time (EE 102) Discrete-time (EE 113) our concern 5 Continuous-time signals and systems For a continuous-time signal x ( t ), the independent variable t is continuous. The dependent variable x , or value of the signal, can also take a continuum of values. 6 Discrete-time signals and systems A discrete-time signal x ( nT ) is represented only at discrete values of the independent variable t . Between these discrete-time instants, x may be zero, undefined, or of no interest. These signals are often only represented at uniformly spaced times nT , where n is an integer and T is the sampling interval or sampling period . nT x(nT) 7 Discrete-time signals - example Discrete-time signal = sequence Notation: x(n) n th term of the sequence Examples: average daily temperature in LA => the independent variable n specifies the day of interest; the signal measures the average temperature of that day average monthly temperature in LA 8 Course overview Digital signal processing : Modifying signals with computers Web site: http://www.eeweb.ee.ucla.edu Textbook: Available on the course website are electronic versions of the chapters of An Undergraduate Course on Discrete-Time Signal Processing , by Prof. A.H. Sayed. Instructor: Mihaela van der Schaar ( mihaela@ee.ucla.edu ) TAs: Martin Andersen and Hyunggon Park 9 Course project Goal: hands-on experience with DSP Practical implementation Get familiar with MATLAB usage Interactive system for numerical computation Extensive signal processing library Focus on algorithm , not implementation Work in pairs (2 students) or alone Brief report Description on website (posted immediately after mid-term) 10 Digital Signal Processing what is it all about?...
View Full Document

Page1 / 51

113_1_Week01_print - 1 EE 113: Digital Signal Processing...

This preview shows document pages 1 - 11. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online