Wireless Adhoc and Sensor Networks

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KHUDKIBOOK
WIRELESS ADHOC AND 1724102
FREE PDF 1724102
Code: 1724102 Credits: 5 Semester 2 EAC(

Wireless Adhoc and Sensor Networks

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Wireless Adhoc and Sensor Networks Syllabus — Unit-wise Content

The official GTU curriculum for Wireless Adhoc and Sensor Networks (subject code 1724102) as prescribed for EAC( · Semester 2 divides the course into 7 units, covering 43 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (1724102)

Unit 1 Speech Communication

  • discrete-time speech signal processing
  • speech communication
  • review of signals and linear systems

Unit 2 Speech production and acoustic phonetics

  • Anatomy and physiology of speech organs
  • speech sounds and classification
  • International Phonetic Alphabet ( IPA)
  • Articulatory Phonetics: Manner of articulation and place of articulation
  • vowel triangle
  • Acoustic Phonetics: spectrograms
  • wide-band and narrow-band spectrograms
  • acoustic characteristics of speech sounds
  • coarticulation and prosody

Unit 3 Time-domain models for speech processing

  • Introduction to short-time speech analysis
  • short-time energy and average magnitude
  • short-time Zero-Crossing Rate (ZCR)
  • speech vs. silence discrimination using energy and zero crossings
  • short-time autocorrelation function
  • short-time Average Magnitude Difference Function (AMDF)

Unit 4 Short-time Fourier analysis

  • Short-time Fourier transform (STFT)
  • spectral displays
  • time-frequency resolution tradeoffs
  • Linear filtering interpretation
  • short-time synthesis
  • filter bank summation method

Unit 5 Linear Predictive Coding of Speech

  • Basic principles of Linear predictive analysis
  • autocorrelation method and covariance method
  • computation of gain for the model
  • prediction error signal
  • frequency domain interpretation of LP analysis
  • frequency domain interpretation of mean-squared prediction error
  • applications of LPC parameters

Unit 6 Homomorphic Signal Processing

  • Concept of Homomorphic processing
  • Homomorphic systems for convolution
  • properties of complex cepstrum
  • Homomorphic filtering
  • complex cepstrum of voiced speech
  • complex cepstrum of unvoiced speech
  • Mel-scale cepstrum

Unit 7 Applications

  • Pitch detection
  • Isolated Digit Recognition
  • Speaker Recognition
  • speech enhancement
  • speech coding

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