Course Information & Syllabus
Eligibility
Must have pass in graduation in B.Tech or B.E Must have passed B.E/B.tech in the relevant domain.
Semester I
DSP10 101 Linear Algebra for Signal Processing
DSP 10 102 DSP Algorithms and Architecture
DSP 10 103 Random Processes and Applications
DSP 10 104 Multirate Signal Processing
DSP 10 105A: Digital Filter Design & Applications (Elective I)
DSP 10 105B: DSP System Design (Elective I)
DSP 10 105C: Image Processing (Elective I)
DSP 10 105D: Digital Communication Techniques (Elective I)
DSP 10 105E: Optimisation Techniques (Elective I)
DSP 10 106 (P) DSP systems Lab
DSP 10 107(P) Seminar
Semester II
DSP 10 201 Wavelet Theory
DSP 10 202 Adaptive Signal Processing
DSP 10 203 Estimation and Detection Theory
DSP 10 204A: Signal Compression Techniques (Elective II)
DSP 10 204B: Array Signal Processing (Elective II)
DSP 10 204C: Wireless Communications (Elective II)
DSP 10 204D: Information Theory & Data Encryption (Elective II)
DSP 10 205A: Transform Theory (Elective III)
DSP 10 205B: Spectral Analysis Techniques (Elective III)
DSP 10 205C: Secure Communication (Elective III)
DSP 10 205D: Graph Theory (Elective III)
DSP 10 206 (P) Signal Processing Lab
DSP 10 207(P) Seminar
Semester III
DSP 10 301A: Speech and Audio Processing (Elective IV)
DSP 10 301B; Biomedical Signal Processing (Elective IV)
DSP 10 301C: Theory of Error Control Coding (Elective IV)
DSP 10 301D: Space Time Coding and MIMO Systems (Elective IV)
DSP 10 302A: VLSI Structure for DSP (Elective V)
DSP 10 302B: Pattern Recognition and Analysis (Elective V)
DSP 10 302C Spread Spectrum & CDMA systems (Elective V)
DSP 10 302D: Markov modeling and Queuing Theory (Elective V)
DSP 10 303(P) Industrial Training
DSP 10 Master Research
304(P) Project (Phase -I)
Semester IV
CPC 10 404(P) Masters Research Project (Phase II) 