PHILLIP DELEON
University Executive Leader • Chief Research Officer • Professor of Electrical Engineering
Course

Introduction to Digital Signal Processing

Undergraduate treatment of sampling/reconstruction, quantization, discrete-time systems, digital filtering, z-transforms, transfer functions, digital filter realizations, discrete Fourier transform (DFT) and fast Fourier transform (FFT), finite impulse response (FIR) and infinite impulse response (IIR) filter design, and digital signal processing (DSP) applications.

Undergraduate Electrical Engineering Area course
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Course information

New Mexico State University EE395 Introduction to Digital Signal Processing (3 credits).

Prerequisite

A grade of C or better in EE314 Signals and Systems II. Students will be automatically dropped without this prerequisite.

Textbooks

Course Objectives

The objective of this course is to gain an understanding of DSP through analysis and application of the following:

  1. sampling and reconstruction and quantization effects
  2. discrete-time systems, digital filtering, and digital filter realizations
  3. z-transform analysis
  4. discrete Fourier transform (DFT) and fast Fourier transform (FFT)
  5. finite impulse response (FIR) and infinite impulse response (IIR) filter design

Course materials

New Mexico State University EE395 Introduction to Digital Signal Processing lecture notes, homework and solutions, laboratories, and exams.

  • Lecture Notes
Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32
  • Homework and Solutions
Homework 0 Homework 1 Homework 2 Homework 3 Homework 4 Homework 5 Homework 6 Homework 7 Homework 8 Homework 9 Companion Files 1 Companion Files 2 Companion Files 3 Companion Files 4 Companion Files 5 Companion Files 6 Companion Files 7 Companion Files 8 Companion Files 9 Solution 1 Solution 2 Solution 3 Solution 4 Solution 5 Solution 6 Solution 7 Solution 8 Solution 9
  • Old Exams
Fall 2007 Exam1 Fall 2007 Exam2 Fall 2007 Final Exam Fall 2008 Exam1 Fall 2008 Exam2 Fall 2008 Final Exam Fall 2009 Exam1 Fall 2009 Exam2 Fall 2009 Final Exam Fall 2010 Exam1 Fall 2010 Exam2 Fall 2010 Final Exam Fall 2012 Exam1 Fall 2012 Exam2 Fall 2012 Final Exam
  • C Codes for Orfanidis Text
DSP Codes (text file I/O) DSP Codes (PortAudio API)

This page is intended as a stable home for official course documents and high-level information.

Emphasis
System thinking
  • FIR and IIR digital filter design
  • Frequency response and filter characteristics
  • Filter design methods
  • Implementation of DSP algorithms
Skills
Analytical tools
  • Discrete-Time Fourier Transform (DTFT)
  • Discrete Fourier Transform (DFT)
  • Fast Fourier Transform (FFT) algorithms
  • Spectral analysis and interpretation
Preparation
Next courses
  • Real-Time Digital Signal Processing
  • Communications