| Lesson PlAN | ||||
| Name of the Faculty : MS. PRIYANKA GAUR | ||||
| Discipline : ECE/EEE | ||||
| Semester : 7TH | ||||
| Subject : DIGITAL SIGNAL PROCESSING (ECE-409-F) | ||||
| Lesson Plan Duration : JULY-DEC’18 | ||||
| Week | Theory | Practical | ||
| Lecture Day | Topic | Practical Day | Topic | |
| 1st | 1 | Signal classifications | 1 | represent basic signals (Unit step, unit impulse, ramp, exponential, sine and cosine). |
| 2 | Frequency domain representation | |||
| 3 | Time domain representation | |||
| 4 | Representation of sequences by Fourier transform | |||
| 2nd | 5 | Properties of Fourier transform | 2 | To develop program for discrete convolution |
| 6 | Discrete time random signals | |||
| 7 | Energy and power theorems | |||
| 8 | Classification of Discrete-time Systems | |||
| 3rd | 9 | Properties, time invariant system | 3 | To develop program for discrete correlation |
| 10 | Finite impulse Response (FIR) system | |||
| 11 | Infinite impulse response (IIR) system | |||
| 12 | Sampling theorem, application | |||
| 4th | 13 | Frequency domain representation of sampling |
4 | To design analog filter(low-pass, high pass, band-pass, band-stop). |
| 14 | Reconstruction of band limited signal from its samples | |||
| 15 | Discrete time processing of continuous time signals | |||
| 16 | Changing the sampling rate using discrete time processing | |||
| 5th | 17 | Introduction to Z-Transform | 5 | To design digital IIR filters(low-pass, high pass, band-pass, band-stop). |
| 18 | Properties of the region of convergence | |||
| 19 | Properties of the Z-transform | |||
| 20 | Inversion of the Z-transform | |||
| 6th | 21 | Applications of Z-transform | 6 | To design FIR filters using windows technique |
| 22 | Fundamentals of digital filtering | |||
| 23 | Various types of digital filters | |||
| 24 | Design techniques of digital filters | |||
| 7th | 25 | Window technique for FIR | 7 | To study Auto correlation & Linear convolution |
| 26 | Bi-linear transformation for IIR filter design | |||
| 27 | Backward difference methods for IIR filter design | |||
| 28 | Analysis of finite word length effects in DSP | |||
| 8th | 29 | DSP algorithm implementation consideration | 8 | To understand sampling theorem |
| 30 | Applications of DSP | |||
| 31 | Introduction to multirate digital signal processing | |||
| 32 | Sampling rate conversion | |||
| 9th | 33 | Filter structures | 9 | To study PCM encoding & Hamming code generation |
| 34 | Multistage decimator and interpolators | |||
| 35 | Digital filter banks | |||
| 36 | Half and full adder/Subtracter | |||
| 10th | 37 | Multiplexers | 10 | To study FIR Filter Implementation |
| 38 | Demultiplexers | |||
| 39 | Flip-flops | |||
| 40 | Shift Registers | |||
| 11th | 41 | Counters | 11 | |
| 42 | Block Diagram of Microprecessor/Microcontroller and their applications | |||
| 43 | The elements of communication system | |||
| 44 | IEEE frequency spectrum | |||
| 12th | 45 | Transmission media: wired and wireless | 12 | |
| 46 | Need of modulation | |||
| 47 | AM and FM modulation schemes | |||
| 48 | Mobile communication systems: cellular concept | |||
| 13th | 49 | Block diagram of GSM system. | 13 | |
| 50 | ||||
| 51 | ||||
| 52 | ||||
