EE210_F11_Greensheet - San Jos State University College of...

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San José State University, College of Engineering, Electrical Engineering Department, EE210-2, Linear Systems Theory, Fall 2011 Instructor: Prof. Essam A. Marouf Office Location: ENG353 Telephone: (408) 924-3969 Email: [email protected] Office Hours: M&W 2:00-4:00 pm Class Days/Time: M&W 6:00-7:15 pm Classroom: ENG345 or ENG303 (TBD) Prerequisites: Graduate student standing EE210-2 Website There will be a website for this section of EE210 hosted by SJSU D2L (Desire-2-Learn). It’s accessible through your account on . Only formally registered students can access the D2L website. Course Description University Catalog Continuous and discrete convolution and correlation. Review of transform theory. Two-side transforms including continuous and discrete Fourier transforms. Continuous and discrete state variable theory. Applications and computer simulations. Specific topics covered in EE210-2 include : 1- The continuous-time Fourier transform and properties. 2- Fourier transforms in the limit. The Dirac d-function and relatives. 3- Convolution and correlation and properties. 4- Time- and frequency-domain parameters and relationships. 5- Linear time-invariant (LTI) systems and properties. 6- Applications: sampling, analog filters, radiation and diffraction, imaging, … . 7- Fourier transform of continuous-time periodic signals (Fourier series). 8- Continuous-time signals and systems in the complex frequency domain. 9- The discrete-time Fourier transform & properties. 10- Discrete-time linear systems. Example FIR and IIR filtering. 11- Discrete-time signals and systems in the complex frequency domain. 12- The Discrete Fourier Transform (DFT) and example fast implementations (FFT)
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EE210-2, F11: Greensheet 2 Course Goals and Student Learning Objectives (LO) LO1: To learn how to analytically and numerically calculate spectra of continuous-time and discrete-time signals from various Fourier transform definitions and transform properties. LO2: To learn how to infer from signals and their spectra basic attributes including energy, power, width, compactness, moments, among others. LO3: To learn how to analytically and numerically perform basic signal operations such as convolutions, and correlations in either the time or frequency domain and to relate such operations to real-life applications. LO4: To learn how to assess various system attributes such as linearity, shift invariance, causality, and stability, and to understand their relationship to the system function. LO5: To learn how to analyze the time and frequency responses of continuous- and discrete- time linear shift invariant systems to aperiodic and periodic temporal or spatial input signals both in the real-frequency and complex-frequency domains. LO6:
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This note was uploaded on 11/28/2011 for the course EE 210 taught by Professor Moriarty,e during the Fall '08 term at San Jose State.

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EE210_F11_Greensheet - San Jos State University College of...

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