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Digital Signal Processing (DSP) PDF lecture Notes and Ebook Download
Ashish talpade

Digital Signal Processing (DSP) PDF lecture Notes and Ebook Download

Ashish talpade | 16-Jan-2016 |
Multirate Digital Signal Processing , Linear prediction and Optimum Linear Filters , Power Spectrum Estimation , Adaptive Signal Processing ,

Hi friends, here Ashish talpade uploaded notes for Digital Signal Processing with title Digital Signal Processing (DSP) PDF lecture Notes and Ebook Download. You can download this lecture notes, ebook by clicking on the below file name or icon.

MODULE: 1 Multirate Digital Signal Processing
1. Introduction
2. Decimation by a factor D, Interpolation by a factor I
3. Sampling rate conversion by rational factor I/D
4. Filter Design and Implementation for sampling-rate
5. Multistage implementation of sampling rate conversion
6. Sampling rate conversion of Band pass signal
7. Application of multi rate signal processing: design of phase shifters
8. Implementation of narrowband lowpass filters
9. Implementation of Digital filter banks.
10. Filter Bank and Sub-band Filters and its applications.
MODULE: 2 Linear prediction and Optimum Linear Filters
11. Innovations Representation of a stationary random process
12. Forward Linear Prediction
13. Backward Linear Prediction
14. Solution of the normal equations
15. Solution of the normal equations
16. Properties of the linear prediction-error filters
17. AR lattice- ladder filters
18. ARMA lattice- ladder filters
19. Wiener filter for filtering and Prediction: FIR Wiener Filter
20. Orthogonality Principle in linear mean square estimation.
MODULE: 3 Power Spectrum Estimation
21. Estimation of spectra from finite-duration observation of signals
22. Non parametric method for power spectrum estimation
23. Bartlett method
24. Blackman method
25. Turkey method
26. parametric method for power estimation
27. Yuke-Walker method
28. Burg method
29. MA model and ARMA model
MODULE: 4 Adaptive Signal Processing
30. Introduction to adaptive signal processing
31. Application of adaptive signal processing: System identification, Channel
equalization, adaptive noise cancellation, adaptive line enhancer
32. Application of adaptive signal processing: System identification, Channel
equalization, adaptive noise cancellation, adaptive line enhancer
33. Adaptive linear combiner
34. Basics of Wiener filtering
35. Widrow-Hopf Equation
36. Least mean square algorithm
37. Recursive least square
algorithm
38. variants of LMS algorithm: FX-LMS, Fast LMS, N-LMS, PN-LMS
39. Continued... (FX-LMS, Fast LMS, N-LMS, PN-LMS)
40. Design of Adaptive FIR & IIR filters

 

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