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Purdue Digital Signal Processing Labs by Charles A. Bouman - HTML preview
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Purdue Digital Signal Processing Labs
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Purdue Digital Signal Processing Labs (ECE 438)
Table of Contents
Chapter
1
.
Lab 0 - Introduction to Module Set
1.1
.
Introduction
External Links
Chapter
2
.
Lab 1 - Discrete and Continuous-Time Signals
2.1
.
Introduction
Matlab Review
Starting Matlab and Getting Help
Matrices and Operations
Matlab Scripts and Functions
Continuous-Time Vs. Discrete-Time
Analytical Calculation
Displaying Continuous-Time and Discrete-Time Signals in Matlab
Numerical Computation of Continuous-Time Signals
Processing of Speech Signals
Attributes of Continuous-Time Signals
Special Functions
Sampling
Random Signals
2-D Signals
Chapter
3
.
Lab 2 - Discrete-Time Systems
3.1
.
Introduction
Background Exercises
Example Discrete-time Systems
Stock Market Example
Example Discrete-Time Systems
Difference Equations
Audio Filtering
Inverse Systems
System Tests
Stock Market Example
Chapter
4
.
Lab 3 - Frequency Analysis
4.1
.
Introduction
Background Exercises
Synthesis of Periodic Signals
Magnitude and Phase of Discrete-Time Systems
Getting Started with Simulink
Continuous-Time Frequency Analysis
Synthesis of Periodic Signals
Modulation Property
System Analysis
Discrete-Time Frequency Analysis
Discrete-Time Fourier Transform
System Analysis
Chapter
5
.
Lab 4 - Sampling and Reconstruction
5.1
.
Introduction
Sampling Overview
Sampling and Reconstruction Using Sample-and-Hold
Simulink Overview
Sampling and Reconstruction Using An Impulse Generator
Sampling and Reconstruction with Sample and Hold
Discrete-Time Interpolation
Discrete-Time Decimation
Chapter
6
.
Lab 5a - Digital Filter Design (part 1)
6.1
.
Introduction
Background on Digital Filters
Design of a Simple FIR Filter
Design of A Simple IIR Filter
Lowpass Filter Design Parameters
Filter Design Using Truncation
Chapter
7
.
Lab 5b - Digital Filter Design (part 2)
7.1
.
Introduction
Filter Design Using Standard Windows
Filter Design Using the Kaiser Window
FIR Filter Design Using Parks-McClellan Algorithm
Design of Discrete-Time IIR Filters Using Numerical Optimization
References
Chapter
8
.
Lab 6a - Discrete Fourier Transform and FFT (part 1)
8.1
.
Introduction
Deriving the DFT from the DTFT
Truncating the Time-domain Signal
Frequency Sampling
Windowing Effects
The Discrete Fourier Transform
Computing the DFT
Matrix Representation of the DFT
Computation Time Comparison
Chapter
9
.
Lab 6b - Discrete Fourier Transform and FFT (part 2)
9.1
.
Introduction
Continuation of DFT Analysis
Shifting the Frequency Range
Zero Padding
The Fast Fourier Transform Algorithm
Implementation of Divide-and-Conquer DFT
Recursive Divide and Conquer
References
Chapter
10
.
Lab 7a - Discrete-Time Random Processes (part 1)
10.1
.
Introduction
Random Variables
Basic Definitions
Samples of a Random Variable
Linear Transformation of a Random Variable
Estimating the Cumulative Distribution Function
Exercise
Generating Samples from a Given Distribution
Exercise
Estimating the Probability Density Function
The Histogram
Exercise
References
Chapter
11
.
Lab 7b - Discrete-Time Random Processes (part 2)
11.1
.
Bivariate Distributions
Background on Bivariate Distributions
Samples of Two Random Variables
Autocorrelation for Filtered Random Processes
Background
Experiment
Correlation of Two Random Processes
Background
Experiment
Chapter
12
.
Lab 7c - Power Spectrum Estimation
12.1
.
Introduction
Power Spectrum Estimation
Periodogram
Averaged Periodogram
Power Spectrum and LTI Systems
Estimate the Power Spectrum of a Speech Signal
Chapter
13
.
Lab 8 - Number Representation and Quantization
13.1
.
Introduction
Review of number representations
Sign-magnitude representation
One's-complement
Two's-complement
Floating Point
Quantization
Introduction
Quantization and Compression
Image Quantization
Audio Quantization
Error Analysis
Signal to Noise Ratio
Max Quantizer
Derivation
Implementation, Error Analysis and Comparison
Chapter
14
.
Lab 9a - Speech Processing (part 1)
14.1
.
Introduction
Time Domain Analysis of Speech Signals
Speech Production
Classification of Voiced/Unvoiced Speech
Phonemes
Short-Time Frequency Analysis
stDTFT
The Spectrogram
Formant Analysis
References
Chapter
15
.
Lab 9b - Speech Processing (part 2)
15.1
.
Introduction
A Speech Model
Synthesis of Voiced Speech
Linear Predictive Coding
Forward Linear Prediction
Linear Predictive Coding of Speech
LPC Exercise
Speech Coding and Synthesis
References
Chapter
16
.
Lab 10a - Image Processing (part 1)
16.1
.
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