113_1_Week01_print

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

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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 ( [email protected] ) ¡ 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?...
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This note was uploaded on 02/09/2011 for the course EE 113 taught by Professor Walker during the Spring '08 term at UCLA.

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

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