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3 | Rayat Shikshan Sanstha's Karmaveer Bhaurao Patil College of Engineering, Satara | |||||||||||||||||||||||||
4 | Program: Electronics and Telecommunication Engineering | Academic Year 2026-27 | Programme Code: 62704 | |||||||||||||||||||||||
5 | Course/Subject: Digital Signal Processing | Lecture Plan | Course Code: 26AF1372PC501 | |||||||||||||||||||||||
6 | Class: T.Y. | Course Coordinator: Dr. Dilip S. Aldar | ||||||||||||||||||||||||
7 | Lect. No. | Detailed to be Covered | Lecture Objectives | Lecture Outcome | Date | Teaching Aid/Pedagogy | Mapping to CO,PO,PSO | Remark | ||||||||||||||||||
8 | Plan | Actual | ||||||||||||||||||||||||
9 | UNIT-I: Discrete Fourier Transform & FFT Algorithms: | |||||||||||||||||||||||||
10 | 1 | Review of Signals, Systems, Convolution, and Correlation | Revise the concepts of the signals and system. | Represent the signals,systems,classify the system, calculate the convolution and correlation. | Chalk, Blackboard, collaborative | CO1,PO1,PSO1 | ||||||||||||||||||||
11 | 2 | Review of Signals, Systems, Convolution, and Correlation | Revise the concepts of the signals and system. | Represent the signals,systems,classify the system, calculate the convolution and correlation. | Chalk, Blackboard, collaborative | CO1,PO1,PSO1 | ||||||||||||||||||||
12 | 3 | Review of Signals, Systems, Convolution, and Correlation | Revise the concepts of the signals and system. | Represent the signals,systems,classify the system, calculate the convolution and correlation. | Chalk, Blackboard,collaborative | CO1,PO1,PSO1 | ||||||||||||||||||||
13 | 4 | Review of Fourier series(CTFS, DTFS), Fourier transform(DTFT,DTFT) | Revise the concepts of the signals and system. | Identify the use of appropriate transform for different signal types | Chalk, Blackboard, collaborative | CO1,PO1,PSO1 | ||||||||||||||||||||
14 | 5 | Review of Fourier series(CTFS, DTFS), Fourier transform(DTFT,DTFT) | Revise the concepts of the transforms,need of transforms,different types of transform and series. | Identify the use of appropriate transform for different signal types | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
15 | 6 | Review of Fourier series(CTFS, DTFS), Fourier transform(DTFT,DTFT) | Revise the concepts of the transforms,need of transforms,different types of transform and series. | Identify the use of appropriate transform for different signal types | Chalk, Blackboard,collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
16 | 7 | Definition of DFT,Expression of DFT | Derive the DFT form DTFT and explain the need of the DFT over DTFT | Obtain the DFT from DTFT , solve the DFT for diffent sequences , define and prove the DFT properties, obtain DFT by different methods. | Chalk, Blackboard,collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
17 | 8 | DFT examples by definition | Derive the DFT form DTFT and explain the need of the DFT over DTFT | Obtain the DFT from DTFT , solve the DFT for diffent sequences , define and prove the DFT properties, obtain DFT by different methods. | Chalk, Blackboard, Collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
18 | 9 | DFT by twiddle matrix method | Derive the DFT form DTFT and explain the need of the DFT over DTFT | Obtain the DFT from DTFT , solve the DFT for diffent sequences , define and prove the DFT properties, obtain DFT by different methods. | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
19 | 10 | Defination and prrof of the properties of DFT | Derive the DFT form DTFT and explain the need of the DFT over DTFT | Obtain the DFT from DTFT , solve the DFT for diffent sequences , define and prove the DFT properties, obtain DFT by different methods. | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
20 | 11 | Defination and proof of the properties of DFT | Derive the DFT form DTFT and explain the need of the DFT over DTFT | Obtain the DFT from DTFT , solve the DFT for diffent sequences , define and prove the DFT properties, obtain DFT by different methods. | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
21 | 12 | Circular convolution: Defination, Graphical Method, Matrix Method | Define and derive cicular convolution | Define the circular convolution and obtaion the convolution by definition | Chalk, Blackboard,collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
22 | 13 | Circular convolution by DFT IDFT | Explain the convolution technique byDFT IDFT | obtaion the convolution by definition | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
23 | 14 | Fast Fourier transform algorithms – Radix -2 DIT | Derive the DIT FFT algorithms and discuss the applications | Identify the limitation of the DFT by definition, determine the computational efficiency by DIT FFT and calculate the DFT by DITFFT. | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
24 | 15 | Fast Fourier transform algorithms – Radix -2 DIT | Derive the DIT FFT algorithms and discuss the applications | Identify the limitation of the DFT by definition, determine the computational efficiency by DIT FFT and calculate the DFT by DITFFT. | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
25 | 16 | Fast Fourier transform algorithms – Radix -2 DIF | Derive the DIF FFT algorithms and discuss the applications | Identify the limitation of the DFT by definition, determine the computational efficiency by DIF FFT and calculate the DFT by DIFFFT. | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
26 | 17 | Filtering of long duration sequences using overlap-Add Method | Explain the importance of the fast convolution , comparision with linear convolution, tecniques to calculate convolution | Evaluate the discrete convolution between a very long signal and a finite impulse response (FIR) filter by overlap-Add Method | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
27 | 18 | Filtering of long duration sequences using overlap-Add Method | Explain the importance of the fast convolution , comparision with linear convolution, tecniques to calculate convolution | Evaluate the discrete convolution between a very long signal and a finite impulse response by overlap-Add Method | Chalk, Blackboard,collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
28 | 19 | Example on long duration sequences using overlap-Add Method | Explain the importance of the fast convolution , comparision with linear convolution, tecniques to calculate convolution | Evaluate the discrete convolution between a very long signal and a finite impulse response by overlap-Add Method | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
29 | 20 | Filtering of long duration sequences using overlap-Add Method | Explain the importance of the fast convolution , comparision with linear convolution, tecniques to calculate convolution | Evaluate the discrete convolution between a very long signal and a finite impulse response by overlap-Add Method | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
30 | 21 | Filtering of long duration sequences using overlap-save Method | Explain the importance of the fast convolution , comparision with linear convolution, tecniques to calculate convolution | Evaluate the discrete convolution between a very long signal and a finite impulse response by overlap-save Method | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
31 | 22 | Example on long duration sequences using overlap-save Method | Explain the importance of the fast convolution , comparision with linear convolution, tecniques to calculate convolution | Evaluate the discrete convolution between a very long signal and a finite impulse response filter by overlap-save Method | Chalk, Blackboard, collaborative | CO2,PO1,PSO1 | ||||||||||||||||||||
32 | Planned Hrs: 22 Hrs | Actually taken Hrs: | ||||||||||||||||||||||||
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35 | Lect. No | Detailed to be covered | Lecture Objectives | Lecture Outcome | Date | Teaching Aid/Pedagogy | Mapping to CO,PO,PSO | Remark | ||||||||||||||||||
36 | Plan | Actual | ||||||||||||||||||||||||
37 | UNIT-II: wavelet Transform | |||||||||||||||||||||||||
38 | 23 | Fourier Transform and its limitations | Explain the Fourier Transform limitations and alternatives. | Evaluate the stationary and nonstationary signal with fourier transform, analyze the limitation of fourier tranform. | Chalk, Blackboard, collaborative,PPT | CO2,CO4PO1,PSO1 | ||||||||||||||||||||
39 | 24 | Short time Fourier transform, Why Wavelet , wavelet definition, continuous wavelet Transform | Explain the need of the STFT and wavelet. Describe STFT and wavelet with examples. | Represent the signal in tranform domain with time and frequency, identify the limitations of STFT. | Chalk, Blackboard, collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
40 | 25 | Discretization of the continuous wavelet Transform,Discrete Wavelet Transform Expresssion. | Explain the discretization of the wavelet to obtaion DWT. | Represent the signal with time and frequency using DWT. | Chalk, Blackboard, collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
41 | 26 | Multiresolution Approximations; wavelet and Scaling function coefficients | Explain the subsband coding and its uses. | solve subband cosing for the different 1-D ,2-D signals. | Chalk, Blackboard, collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
42 | 27 | Orthonormality of compactly supported wavelets,Biorthogonal decomposition | Explain Biorthogonal decomposition | solve Biorthogonal for the different 1-D ,2-D signals. | Chalk, Blackboard, collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
43 | 28 | Harr wavelets,The daubechies wavelets construction | Explain the different wavelet family and Harr wavelet. Explain the daubechies wavelets wavelet family of daubechies. | solve Harr wavelet for the different 1-D ,2-D signals. | Chalk, Blackboard, collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
44 | 29 | Denoising using wavelets, Perfect reconstruction filter bank design using walelets | Explain the allication of wavelet for denoising .Explain the application wavelet for filterbank development. | solve daubechies wavelet for the different 1-D ,2-D signals. Evaluate the signals for different daubechies wavelets. | Chalk, Blackboard, collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
45 | 30 | What is Filter, Why Filter & Diffrent types of Filter ( Analog & Digital), Characteristic of FIR filter, Properties of FIR filter | Explain the need of digital filter and how alalog approximation used for digital filter design.. | solve the wavelet for noisy signal and evaluate the noisy signal and denoise the signal. | Chalk, Blackboard,collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
46 | Planned Hrs: 8 Hrs | Actually taken Hrs: | ||||||||||||||||||||||||
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49 | Lect. No | Detailed to be Covered | Lecture Objectives | Lecture Outcome | Date | Teaching Aid/Pedagogy | Mapping to CO,PO,PSO | Remark | ||||||||||||||||||
50 | Plan | Actual | ||||||||||||||||||||||||
51 | UNIT-III: FIR Filter Design | |||||||||||||||||||||||||
52 | 31 | FIR filterd esign using Fourier series method, Design Examples using Fourier series method | Explain the characterization of digital filters.Explain FIR fourier series filter design methods. Design the FIR filtes for different order and frequencies. | Describe the advantages and limitation of the digital filters over analog. Calculate the filter coeficients and obtain the frequency response of FIR by fourier series method | Chalk, Blackboard, Collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
53 | 32 | FIR filter design using frequency sampling method. | Explain frequency sampling design methods. | Calculate the filter coeficients and obtain the frequency response of FIR by frequency sampling method | Chalk, Blackboard, collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
54 | 33 | FIR filter design using windowing method | Explain windowing design methods. | Calculate the filter coeficients and obtain the frequency response of FIR by windowing method | Chalk, Blackboard, collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
55 | 34 | Design Examples using windowing method | Design the FIR filtes for different order and frequencies. | Calculate the filter coeficients and obtain the frequency response of FIR by windowing method | Chalk, Blackboard, collaborative, PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
56 | Planned Hrs: 04 Hrs | Actually taken Hrs: | ||||||||||||||||||||||||
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59 | Lect. No | Detailed to be covered | Lecture Objectives | Lecture Outcome | Date | Teaching Aid/Pedagogy | Mapping to CO,PO,PSO | Remark | ||||||||||||||||||
60 | Plan | Actual | ||||||||||||||||||||||||
61 | UNIT-IV: IIR Filter Design | |||||||||||||||||||||||||
62 | 35 | Review of Analog filters & Concept of IIR digital Filter. | Revise the concepts of the analog filtes and types of the anlog filtes studied earlier | Develop the design steps for IIR filter. | Chalk, Blackboard,collaborative, PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
63 | 36 | Analog filters approximations Butterworth filters | Describe the analog approximation and butterworth filter | Design butterworth filter by different methods and calculate the order and locations of poles. | Chalk, Blackboard,collaborative, PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
64 | 37 | Chebyshev filters mapping of s-plare to 2-plare filter stability | Explain the chebyshev filter and design method. | Design Chebyshev filter and calculate the order and locations of poles. | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
65 | 38 | characteristics of discreate time IIR filter | Explain thecharacteristics of discreate IIR filter. | Calculate the order and locations of poles. | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
66 | 39 | Design of IIR using Impulse Invariance Method | Explain the transformation techniques | Convert the analog transfer function to digital using Impulse Invariance Method | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
67 | 40 | Design of IIR using Bilinear Z- Transform method | Explain the BLT transformation | Convert the analog transfer function to digital using BLT Method | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
68 | 41 | Design of IIR usingPlacement of poles & zeros | Explain the pole zero placement method | Design the filters using poles and zero placements | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
69 | 42 | Design of IIR using Freqency Transformation. | Explain the frequency transformation techniques. | Transform the filter form one frequency to another | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
70 | Planned Hrs: 8 Hrs | Actually taken Hrs: | ||||||||||||||||||||||||
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73 | Lect. No | Detailed to be Covered | Lecture Objectives | Lecture Outcome | Date | Teaching Aid/Pedagogy | Mapping to CO,PO,PSO | Remark | ||||||||||||||||||
74 | Plan | Actual | ||||||||||||||||||||||||
75 | UNIT-V: Realization of filter | |||||||||||||||||||||||||
76 | 43 | FIR and IIR filter realization in cascade form | Explain the need for realization,concept of realization, techniquaes of relization. | Obtain the signal flow graph/structure of the designed filter i.e FIRand IIR using cascaded form | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
77 | 44 | FIR and IIR filter realization in parallel form | Explain the form of the realization its pros and cons | Obtain the signal flow graph/structure of the designed filter i.e FIRand IIR using parallel form | Chalk, Blackboard,collaborative,PPT | CO,PO1,PO2,PSO1 | ||||||||||||||||||||
78 | 45 | Effect of finite word lenth on redirection of filter | Explain importance of the word length and the concept of the finite word length. | Illustrate the Coefficient quantization errors; Sample quantization errors (quantization noise); and. Overflow errors | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
79 | 46 | Problems based on FIR and IIR | Explain the finite word length effect for FIR and IIR | Solve the problems to calculate the coefficients of FIR and IIR filters | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
80 | 47 | Introduction to DSP processor 67XX | Explain the need of DSP processor, different types of the DSP processor, and TMS320C6xxx series of the processor. | Compare and contrast architectuire of the processors, distinguish the DSP processor and GPP. | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
81 | 48 | TMS320C67XX Architecture | Explain the architecture of the TMS320C6713 DSP processor | Work with TMS320C6716 DSP processor by illustating the architechture. | Chalk, Blackboard,collaborative,PPT | CO,PO1,PO2,PSO1 | ||||||||||||||||||||
82 | 49 | Functional Units of TMS320C67XX, TMS320C67XX Pipelining | Explain the function units and pipelining of the TMS320C6713 DSP processor. | Work with TMS320C6716 DSP processor by illustating the functional units | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
83 | 50 | Registers of TMS320C67XX and Addressing modes of TMS320C67XX | Explain the TMS320C6713 DSP processor resisters | Work with DSP processor | Chalk, Blackboard,collaborative,PPT | CO3,PO1,PO2,PSO1 | ||||||||||||||||||||
84 | Planned Hrs: 08 Hrs | Actually taken Hrs: | ||||||||||||||||||||||||
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87 | Lect. No | Detailed to be Covered | Lecture Objectives | Lecture Outcome | Date | Teaching Aid/Pedagogy | Mapping to CO,PO,PSO | Remark | ||||||||||||||||||
88 | Plan | Actual | ||||||||||||||||||||||||
89 | UNIT-VI: Multirate digital signal processing | |||||||||||||||||||||||||
90 | 51 | Need of Multirate digital signal processing , decimation by factor D | Explain the need of multirate sampling techniques. | Identify the application where the multirate signal processing is needed, represent the up sampled and down sampled signal. | Chalk, Blackboard,collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
91 | 52 | Two stage decimater,interpolation by factor I | Explain the concept of the decimator, interpolator. | Represent two stage up sampled and downsampled signal with different sampling rates. | Chalk, Blackboard,collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
92 | 53 | Two stage Interpolator | Describe the two stage interpolator. | Represent two stage up sampled and downsampled signal with different sampling rates. | Chalk, Blackboard,collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
93 | 54 | Sampling rate conversion by rational factor I by D | Describe the sampling rate conversion for I and D. | Represent two stage up sampled and downsampled signal with different sampling rates. | Chalk, Blackboard,collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
94 | 55 | Application of multirate signal processing | Explain the application of the multirate signal processing | Identify the applications of the multirate signal processing. | Chalk, Blackboard,collaborative,PPT | CO4,PO1,PO2,PSO1 | ||||||||||||||||||||
95 | Planned Hrs: 5 Hrs | Actually taken Hrs: | ||||||||||||||||||||||||
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98 | Faculty | Head of Department | ||||||||||||||||||||||||
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