Review of linear discrete-time systems and sampled and discrete-time signals; Fourier analysis, discrete and fast Fourier transforms; interpolation and decimation; design of infinite-impulse response and finite impulse response filters. introduction to real time processing using Digital Signal Processors (DSP) chips.

### Discrete-Time Signals and Systems (EE 312)

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Programs\Type | Required | Core Elective | Area Elective |

BA- Political Science | |||

BA-Cultural Studies | |||

BA-Cultural Studies | |||

BA-Economics | |||

BA-Economics | |||

BA-International Studies | |||

BA-International Studies | |||

BA-Management | |||

BA-Management | |||

BA-Political Sci.&Inter.Relat. | |||

BA-Political Sci.&Inter.Relat. | |||

BA-Social & Political Sciences | |||

BA-Visual Arts&Visual Com.Des. | |||

BA-Visual Arts&Visual Com.Des. | |||

BS-Biological Sci.&Bioeng. | * | ||

BS-Computer Science & Eng. | * | ||

BS-Computer Science & Eng. | * | ||

BS-Electronics Engineering | * | ||

BS-Electronics Engineering | * | ||

BS-Industrial Engineering | |||

BS-Manufacturing Systems Eng. | |||

BS-Materials Sci. & Nano Eng. | * | ||

BS-Materials Science & Eng. | * | ||

BS-Mechatronics | * | ||

BS-Mechatronics | * | ||

BS-Microelectronics | |||

BS-Molecular Bio.Gen.&Bioeng | * | ||

BS-Telecommunications | * |

### CONTENT

### OBJECTIVE

To provide students fundamentals of signal processing in discrete-time and enable them to develop the background for graduate level studies such as adaptive filtering. To provide students knowledge of algorithm design, implementation and analysis through comprehensive experiments/simulations in MATLAB during laboratory sessions.

### LEARNING OUTCOME

At the end of the course, the student is expected to have the ability to construct mathematical models of real life problems and use appropriate methods/software to implement.

At the end of the course, the student is expected to have learned sampling, and also expected to have the ability to understand and analyze the effect of sampling in the signal level as well as the system level in both time domain and frequency domain.

At the end of the course, the student is expected to have the ability to understand and analyze the discrete-time signals and systems in both time domain and frequency domain.

At the end of the course, the student is expected to have the ability to understand and analyze the discrete-time signals and systems in frequency domain through Discrete Fourier Transform (as an example of finite length discrete transforms).

At the end of the course, the student is expected to have achieved a deeper understanding and the ability of conducting a deeper analysis of discrete-time signals and systems through z-transform

At the end of the course, the student is expected to have the ability to recognize and analyze FIR and IIR filters, and to have achieved a solid understanding of their advantages and disadvantages.

At the end of the course, the student is expected to have learned the fundamentals of IIR (infinite impulse response) filter design and to use Matlab to design IIR filters.

At the end of the course, the student is expected to have learned the fundamentals of FIR (finite impulse response) filter design and to use Matlab to design FIR filters.

### Update Date:

### ASSESSMENT METHODS and CRITERIA

Percentage (%) | |

Final | 25 |

Midterm | 40 |

Exam | 10 |

Assignment | 10 |

Group Project | 15 |

### RECOMENDED or REQUIRED READINGS

Textbook |
1) (required) Digital Signal Processing, A computer based approach 4th edition, Sanjit K. Mitra, McGraw Hill, 2006, 007-124467-0 |