Elec 301 projects fall 2005

OpenStax

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Steganography - what's in your picture

Abstract and history

0.1 Abstract and history

0.3 A brief history of steganography

1 Compression framework

2 Compression - dropping the dct coefficients

3 Compression - zeros grouping

4 Zeros hiding method

5 Bit-o-steg method - background

6 Bit-o-steg hiding

7 Importance of steganalysis

8 Steganalysis - zeros hiding detection

9 Steganalysis - bit-o-steg detection

10 Future considerations and conclusions

12 Steganography matlab code

13 Group members

Investigation of delay and sum beamforming using a two-dimensional array

Delay and sum beamforming with a 2d array: introduction

1 Hardware setup for perimeter array of microphones

2 Labview implementation of 2d array delay and sum beamformer

3 Results of the testing of 2d array beamformer

4 Delay and sum beamforming with a 2d array: conclusions

5 Expressing appreciation for the assistance of others

Seeing using sounds

Introduction and background for seeing with sound

1 Seeing using sound - design overview

2 Canny edge detection

3 Seeing using sound's mapping algorithm

4 Demonstrations of seeing using sound

5 Final remarks on seeing using sound

Intelligent motion detection using compressed sensing

Intelligent motion detection and compressed sensing

1 Compressed sensing

2 Feature extraction from cs data

3 Methodology for extracting information from "random" measurements

4 Idealized data for motion detection

5 Speed calculation: the details

6 Ability to detect speed: results

7 Concluding remarks for cs motion detection

8 Future work in cs motion detection

9 Support vector machines

10 The team and acknowledgements

Terahertz ray reflection computerized tomography

Introduction-experimental setup

1 Description/manipulation of data

2 Deconvolution with inverse and weiner filters

3 Results of deconvolution

4 Reconstruction

5 Backprojection implementation

6 Conclusions and references

7 Team incredible

Filtering and analysis of heart rhythms

Introduction to electrocardiogram signals

1 Medical background

2 Block diagram/method

3 Sample outputs

4 Overall results and conclusions

5 Matlab analysis code

6 Group members

Naive room response deconvolution

Introduction to naive acoustic deconvolution

1 Naive deconvolution theory

2 Recording the impulse response of a room

3 The effectiveness of naive audio deconvolution in a room

4 Problems and future considerations in naive room response deconvolution

5 Authors' contact information

6 Room response deconvolution m-files

Musical instrument recognition

1 Simple music theory as it relates to signal processing

2 Common music terms

3 Matched filter based detection

3.1 Shortcomings of the matched filter

4 System overview

5 Pitch detection

6 Sinusoidal harmonic modeling

7 Audio features

8 Problems in polyphonic detection

9 Experimental data and results

10 Gaussian mixture model

11 Future work in musical recognition

12 Acknowledgements and inquiries

13 Patrick kruse

14 Kyle ringgenberg

15 Yi-chieh jessica wu

Accent classification using neural networks

Introduction to accent classification with neural networks

1 Formants and phonetics

2 Collection of samples

3 Extracting formants from vowel samples

4 Neural network design

5 Neural network-based accent classification results

6 Conclusions and references

Source: OpenStax, Elec 301 projects fall 2005. OpenStax CNX. Sep 25, 2007 Download for free at http://cnx.org/content/col10380/1.3

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