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Identification, Estimation and Learning

The exhaustive list of topics in Identification, Estimation and Learnings in which we provide Help with Homework Assignment and Help with Project is as follows:

  • Estimation
  • Recursive Least Square (RLS) Algorithms
  • Random Processes
  • Active Noise Cancellation
  • Discrete Kalman Filter
  • Continuous Kalman Filter
  • Extended Kalman Filter
  • Linear Systems
  • Linear Time-invariant Systems
  • Time Series Data Compression
  • Laguerre Series Expansion
  • Non-linear Models
  • Function Approximation Theory
  • Radial Basis Functions
  • Neural Networks
  • Mid-term Exam
  • Error Back Propagation Algorithm
  • System Identification
  • Informative Data Sets and Consistency
  • Experiment Design,
  • Pseudo Random Binary Signals
  • Maximum Likelihood Estimate
  • Information Theory of System Identification
    • Kullback-Leibler Information Distance
    • Akaike's Information Criterion