Evaluating the CDMA System Using Hidden Markov and Semi Hidden Markov Models

Hidden semi-Markov models

Article history: Received 14 April 2009 Available online 17 November 2009

Hidden semi-Markov models (HSMMs)

A semi-Markov HMM (more properly called a hidden semi-Markov model, or HSMM) is like an HMM except each state can emit a sequence of observations. Let Y (Gt) be the subsequence emitted by “generalized state” Gt. The “generalized state” usually contains both the automaton state, Qt, and the length (duration) of the segment, Lt. We will define Y (Gt) to be the subsequence yt−l+1:t. After emitting...

Intrusion Detection Using Evolutionary Hidden Markov Model

Intrusion detection systems are responsible for diagnosing and detecting any unauthorized use of the system, exploitation or destruction, which is able to prevent cyber-attacks using the network package analysis. one of the major challenges in the use of these tools is lack of educational patterns of attacks on the part of the engine analysis; engine failure that caused the complete training,  ...

Application of Hidden Markov Models and Hidden Semi-Markov Models to Financial Time Series

Song Retrieval System Using Hidden Markov Models

This project proposes a novel method to retrieve the song corresponding to a recording of a snippet of the same. The method used converts the song into a string of music phonemes, which are MFCC Feature Vectors using Hidden Markov Models. The sequence of these phones are then stored. A similar procedure is performed upon the snippets. The snippet sequence and song sequence are then compared usi...