Indicative contents

The typical proportion of class content time is shown in brackets

• Adaptive Signal Processing (25%)
  Introduction, applications, LMS and RLS algorithm, robustness issues, Adaptive FIR and IIR filters.
• Multirate Signal Processing: (15%)
  Introduction, decimation, interpolation, multistage filter design, polyphase decomposition, QMF, trans-multiplexer, application in audio
• Application of wavelet transforms in Image / Video compression (35%)
  Introduction to wavelet transform, time-frequency resolution, orthogonal and biorthogonal discrete wavelet transforms, multiresolution analysis, wavelet packets, wavelet design, implementation methods, image and video compression techniques, image compression standards (JPEG2000).
• Array Signal Processing (25%)
  Introduction: Signals in space and time, Spatial Sampling Beamforming Techniques
  Optimal Array Processing : Optimization criteria ,Detection ,Parameter estimation
  Adaptive Antenna Arrays: Linearly-constrained array processing, Generalized side lobe cancelling, Eigen analysis Methods (MUSIC, ESPRIT, etc.)

Recommended reading

• Books
  1. Vijay K Madisetti; DSP Handbook; CRC
  2. Advanced DSP Handbook; Stergios Stergiopoulos ; CRC Press
  3. Mallat, Stephan; A wavelet tour of Signal Processing
  4. Young, Randy K; Wavelet theory and its Applications
  5. Hollins B; Techniques and Standards for image video and audio
  6. Prabhakar S Naidu; Sensor Array Signal Processing; CRC Press
  7. Multidimensional Digital Signal Processing;
  8. Simon Haykin; Adaptive Filter Theory; 3rd Ed. Prentice Hall
  9. Ed: Tadeusz A. Wysocki et al.,; Signal Processing for Telecommunications and Multimedia; Springert; 2004
      

• Journals

  1. IEEE Signal Processing

• Magazines
  1. Application notes from Texas Instruments
  2. Application notes from Analog devices
   
• Internet Sites

1. www.bores.com
2. www.ti.com

• Laboratory
  Hardware Required: PCs
  Software Required:MATLAB
  Software Manuals: MATLAB User Manuals