Signal Processing

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Following is the list of topics under Signal Processing which is prepared after detailed analysis of courses taught in multiple universities across the globe:

  • Amplitude/phase relationships
  • Application examples in communication systems, signal analysis and systems optimization
  • Bio-Imaging
  • Calculus
  • Characterization of random signals
  • combined time/frequency analysis
  • Data mining
  • Detection theory
  • Difference equations
  • Differential equations
  • EEG
  • Estimation theory
  • Extension of sampling and systems theory for multiple dimensions
  • filterbanks and wavelet transform
  • formulation of detection and estimation problems under noise and variations
  • Frequency and scale spaces
  • Functional analysis
  • higher-order statistics
  • Hilbert transform
  • Identifications and Analysis of Neural Activity and the Visual System in Drosophila
  • Linear time-invariant system theory, and transform theory
  • Machine Vision
  • Metabolic Systems Engineering
  • Methods of signal and parameter estimation: Least squares and SVD methods, Wiener filter and linear prediction, Bayes estimation, maximum-likelihood estimation, robust estimation
  • Modeling and Identification for Mobile Robots
  • Modeling Financial Systems
  • Modeling the Magnetosphere and Solar Wind
  • Modeling the Musculoskeletal System
  • multi-rate and multi-resolution sampling
  • Neuro-Imaging and Systems Neuroscience
  • Neutrophil
  • Non-linear Damping
  • Nonlinear System Identification, Signal and Information Processing
  • Nonlinear Systems in the Frequency Domain
  • Non-uniform sampling
  • Numerical methods
  • Optimization
  • orthogonal transforms
  • Orthogonality and correlation analysis
  • partitioning methods
  • Probability and stochastic processes
  • Reaction Diffusion Systems and Crystal Growth
  • Signal and parameter spaces
  • Spatio-Temporal Systems and Cellular Automata
  • Spectral estimation
  • Statistical signal processing
  • Statistical similarity and modeling
  • Stem Cell Dynamics
  • Subharmonics and Severely Nonlinear Systems
  • System identification and classification
  • Systems and Synthetic Biology
  • Time series
  • Time-frequency analysis
  • Tracking Greenland Icebergs
  • Tracking Rapid Nonlinear Dynamic Changes in both Time and Frequency
  • Transform theory
  • Vector spaces and Linear algebra

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