Digital Communication:

1.  Introduction to the course
2.  Digital signals: delta modulation
3.  Digital representation of analog signals: pulse code   Modulation
4.  Digital representation of analog signals:

a) Non-uniform quantization in PCM
b) Quantization noise in delta modulation & time division Multiplexing

1.  Introduction to line coding
2.  Special properties of line codes: general relations
3.  Special properties of line codes: on-off/polar/bipolar signaling
4.  Special properties of line codes: duo binary, Manchester & HDB codes
5.  Base band pulse shaping Nyquist’s first criterion
6.  Base band pulse shaping raised of pulse
7.  Partial response signaling: 
   a) Duo-binary & modified   b) Duo-binary pulse shaping
8.  Precoding for duo binary modified duo binary systems
9.  Precoding for modified duo binary systems & general partial response signaling
10.  Binary base band digital modulation techniques
11.  M’ary base band digital modulation techniques
12.  Pass band digital modulations I: PSK & QPSK
13.  Pass band digital modulations II: offset QPSK
14.  Pass band digital modulations III: minimum shift keying
15.  Pass band digital modulations IV: MSK Pass band waveforms for M’ary signaling
16.  Pass band modulations for band limited channels
17.  Base band & pass band digital demodulation: general issues & concepts
18.  Digital demodulator: matched filters
19.  Matched filtering & coherent demodulation
20. Coherent demodulation of binary waveforms
21. Demodulations for binary waveforms & coherent & non coherent 
    receivers for orthogonal signaling (OOK &  FSK)
22. Performance analysis of binary digital modulations:  signals & noise  
    statistics in coherent & non-  coherent receivers.
23.  Error, rates for binary signaling: coherent receivers
24.  Performance & non coherent FSK & DPSK
25.  Demodulation of DPSK & many signals
26.  Performance of M’ary digital modulations-I
27.  Performance of M’ary digital modulations-II
28.  Introduction to information on theory
29.  Source coding
30.  Error tree communication over a noisy channel
31.  The concept of channel capacity
32.  Elements of error correcting codes-I
33.  Elements of error correcting codes –II

1.  Introduction to the course & basic concepts
2.  Signals & their transformation
3.  Elementary Signals in the discrete time domain
4.  Characterization of systems
5.  Basic concepts of linear time invariant systems
6.  Convolution invertibility, causality & stability
7.  Stability, unit step response & differential equations
8.  Systems described by differential & difference equations
9.  Fourier & his series
10.  More about Fourier series (with comfortable questions)
11.  Those uncomfortable about the existence of Fourier series & some   more
12.  Introduction to Fourier transforms
13.  Fourier transform of periodic functions & fourier transform properties
14.  More properties of fourier transformation
15.  Anatomy of a class test & a continuous look at the properties of F.T.
16.  Modulation, convolution & other interesting properties of F.T.
17.  A deeper look at the modulation property of F.T.
18.  Fourier analysis of discrete time signals & systems: the beginning
19.  More about the fourier transform of discrete time signals
20.  Solutions to minor test 1 problems and further look into the  properties of D.T.F.T.
21.  Convolution, modulation & other properties of D.T.F.T.
22.  Farewell to discrete time fourier transform & introduction sampling
23.  More about sampling
24.  Introduction to Laplace transformation
25.  Region of convergence of Laplace transform &properties of Laplace  transform
26.  Properties of Laplace transform
27.  Concluding discussion on Laplace transformation
28.  Introduction to `Z’ transform
29.  Properties of `Z’ transform
30.  Further discussion on properties of `Z’ transform
31.  Solutions to class test 2 & concluding discussion on `Z’ transform
32.  Introduction to random signals & probability
33.  Probability functions
34.  Solutions to minor test 2 & concluding discussion on `Z’ transform
35.  Some more about PDFS & PDTS
36.  Classification of random process & introduction to correction
37.  More about correction functions
38.  Cress correction functions & their properties
39.  Introduction to spectral density
40.  More about spectral density
41.  Response of linear systems to random inputs
42.  Frequency domain analysis of LTI systems excited by random inputs
43.  Advanced SQC techniques & special inspection machines
44.  Audio visual techniques & interpersonal communication
45.  Basics of electricity and its utilization

1.  Condition monitoring and condition bases maintenance
2.  Communication for engineers
3.  Electrical safety
4.  Executive decisions and quantitative techniques
5.  Fiber optics
6.  Hemorphology microcirculation
7.  Information systems
8.  Introduction to oscilloscope
9.  Introduction to V-N diagram
10.  Medical instrumentation
11.  Optical fibre communication
12.  Oral presentation of a technical report
13.  PCB design, fabrication and maintenance
14.  Pile foundation
15.  Remote sensing
16. Stress analysis and weld design
17. Super conductivity
18. Telematics
19. U-state method

Digital Signal Processing: By T.K. Basu

1. Discrete time signals and systems.
2. Discrete time signals and systems
3. Difference equations and transforms
4. Study of sampled systems in frequency domain
5. Relation between continuous and sampled systems
6. Z-transforms and introduction toIIR digital filter
7. Introduction to filters
8. Design of analog and digital filters-I
9. Design of analog and digital filters-II
10. Design of analog and digital filters-III
11. Design of analog and digital filters-IV
12. Design of IIR filter
13. Design of FIR filer
14. Design of discrete fourier transform
15. DFT-FFT algorithms-I
16. DFT-FFT algorithms-II
17. DFT-FFT algorithms-III
18. Computer aided design-I
19. Computer aided design-II
20. Computer aided design-III
21. Computer aided design-IV
22. Digitalizing techniques
23. Structures of FIR & IIR systems-I
24. Structures of FIR & IIR systems-II
25. Effects of quantisation in digital filters-I
26. Effects of quantisation in digital filters-II
27. Magnitude phase relationship in digital filters-I
28. Magnitude phase relationship in digital filters-II
29. Hilbert transform relation for magnitude & phase-I
30. Hilbert transform relation for magnitude & phase-II
31. Complex Cepstrum & homomorphic systems
32. Homomorphic convolution-I
33. Homomorphic convolution-II
34. Tutorial-1
35. Tutorial-2
36. Turorial-3

Digital Voice & Picture Coding: By R.V. Rajakumar, E&ECE Dept

1.  Introduction
2.  Characteristics of speech and video signals-I
3.  Characteristics of speech and video signals-II
4.  Digitization of signals: lowpass sampling and reconstruction
5.  Digitization of signals: band pass sampling and quantization
6.  Quality of signals with uniform quantization
7.  Quality of signals with non-uniform quantization
8.  Optimum and adaptive quantizers
9.  Pulse code modulation and PCM standards for speech, audio and   video
10.  PCM standards for video and transmission errors in PCM
11.  Parametric modeling and prediction of signals-I
12.  Parametric modeling and prediction of signals-II
13.  Parametric modeling and prediction of signals-III
14.  A worked out example and an assignment on modeling
15.  Quality measures for coded signals
16.  Differential pulse code modulation (DPCM)-I
17.  Differential pulse code modulation (DPCM)-II
18.  Adaptive DPCM  (ADPCM)-I
19.  Adaptive DPCM (ADPCM)-II
20.  A lattice algorithm for speech prediction
21.  Sub-band coding-I
22.  Sub-band coding-II
23.  Transform coding (TC)
24.  Optimum bit allocation in TC and the DCT
25.  Run-length coding
26.  Vector quantization (VQ)
27.  Types of VQ and code book design
28.  Hybrid coding os speech: Abs-LPC coding
29.  Abs coding of speech
30.  The RPE-LTP
31.  The CELP coder
32.  Hybrid coding of pictures: JPEG-I
33.  Hybrid coding of pictures: JPEG-II
34.   The H.261 video coder

DIGITAL IMAGE PROCESSING: By Prof. S. Sengupta:

1. Introduction to digital image processing
2. Image digitization & sampling-I
3. Image digitization & sampling-II
4. Basic relationship between pixels
5. Image interpolation and resampling
6. Application of image sampling
7. Prospective transformations
8. Camera models
9. Stereo imaging
10. Search space analysis for stereo
11. Error analysis for stereo
12. Introduction to image transforms
13. Separable transforms
14. Discrete fourier transforms
15. Properties of DFT
16. Discrete cosine transforms & Hadamard transforms
17. Properties of Hadamard transforms
18. K-L Transforms
19. Comparison between image transforms
20. Application of Transforms in Image coding
21. Image enhancements: point operations
22. Histogram equalization
23. Spatial equalization
24. Sharpening Filters
25. Edge detection operations
26. Transform-domain filtering
27. Introduction to image restoration
28. Degradation model in discrete domain
29. Image restoration using inverse filtering
30. Image restoration using wiener filter
31. Constrained least-Square restoration
32. Image Segmentation
33. Global Edge-Linking using Hough Transforms
34. Segmentation based on tresholding
35. Region-oriented segmentation
36. Representation of Regions
37. Boundry descriptors
38. Region descriptors and texture
39. Statistical & structural approach to texture
40. Morphological image processing-I
41. Morphological image processing-II