- Faculty: Dr. Jerrin Thomas Panachakel
- Technical Staff: Ms. Kala S
- ECL333 – DIGITAL SIGNAL PROCESSING LAB – S5 ECE
- EST102 – PROGRAMMING IN C – S2 AEI, ECE
- 221LEC001 – SIGNAL PROCESSING LAB I – M1 SP
- 222LEC001 – SIGNAL PROCESSING LAB II – M2 SP
ECL333 – DIGITAL SIGNAL PROCESSING LAB
This course aims to:
- Make the student do real time DSP computing. Dedicated DSP hardware (such as TI or Analog Devices development/evaluation boards) will be used for realization.
LIST OF EXPERIMENTS:
1. Simulation of Signals
2. Verification of the Properties of DFT
3. Familarization of DSP Hardware
4. Linear convolution
5. FFT of signals using DIT
6. FFT of signals using DIF
7. IFFT with FFT
8. FIR low pass filter
9. IIR filter design
10. Overlap Save Block Convolution
11. Overlap Add Block Convolution
EST102 – PROGRAMMING IN C
LIST OF EXPERIMENTS:
1. Familiarization of Hardware Components of a Computer
2. Familiarization of Linux environment – How to do Programming in C with Linux
3. Familiarization of console I/O and operators in C
4. Read 3 integer values and find the largest amoung them
5. Read a Natural Number and check whether the number is prime or not
6. Read a Natural Number and check whether the number is Armstrong or not
7. Read n integers, store them in an array and find their sum and average
8. Read n integers, store them in an array and search for an element in the array using an algorithm for Linear Search
9. Read n integers, store them in an array and sort the elements in the array using Bubble Sort algorithm
10. Read a string (word), store it in an array and check whether it is a palindrome word or not.
11. Read two strings (each one ending with a $ symbol), store them in arrays and concatenate them without using library functions.
12. Read a string (ending with a $ symbol), store it in an array and count the number of vowels, consonants and spaces in it.
13. Read two input each representing the distances between two points in the Euclidean space, store these in structure variables and add the two distance values
14. Using structure,read and print data of n employees (Name,Employee Id and Salary)
15. Declare a union containing 5 string variables (Name, House Name, City Name, State and Pin code) each with a length of C_SIZE (user defined constant). Then, read and display the address of a person using a variable of the union.
16. Find the factorial of a given Natural Number n using recursive and non recursive functions
17. Read a string (word), store it in an array and obtain its reverse by using a user defined function.
18. Write a menu driven program for performing matrix addition, multiplication and finding the transpose. Use functions to (i) read a matrix, (ii) find the sum of two matrices, (iii) find the product of two matrices, (i) find the transpose of a matrix and (v) display a matrix.
19. Do the following using pointers
i) add two numbers
ii) swap two numbers using a user defined function
20. Input and Print the elements of an array using pointers
21. Compute sum of the elements stored in an array using pointers and user defined function
22. Create a file and perform the following
i) Write data to the file
ii) Read the data in a given file & display the file content on console
iii) append new data and display on console
221LEC001 – SIGNAL PROCESSING LAB I – M1 SP
LIST OF EXPERIMENTS:
1 Linear Algebra
1.1 Row Reduced Echelon Form: To reduce the given mxn matrix into Row reduced
Echelon form
1.2 Gram-Schmidt Orthogonalization: To find orthogonal basis vectors for the given
set of vectors. Also find orthonormal basis.
1.3 Least SquaresFit to a Sinusoidal function
1.4 Least Squares fit to a quadratic polynomial
1.5 Eigen Value Decomposition
1.6 Singular Value Decomposition
1.7 Karhunen- Loeve Transform
2 Advanced DSP
2.1 Sampling rate conversion: To implement Down sampler and Up sampler and
study their characteristics
2.2 Two channel Quadrature Mirror Filterbank: Design and implement a two channel
Quadrature Mirror Filterbank
3 Random Processes
3.1 To generate random variables having the following probability distributions (a)
Bernoulli(b) Binomial(c) Geometric(d) Poisson(e)Uniform,(f)
Gaussian(g)Exponential (h) Laplacian
3.2 Central Limit Theorem: To verify the sum of sufficiently large number of
Uniformly distributed random variables is approximately Gaussian distributed
and to estimate the probability density function of the random variable.
4 Machine Learning
4.1 Implementation of K Nearest Neighbours Algorithm with decision region plots
4.2 Implementation of K Means Algorithm with decision region plots
4.3 Implementation of Perceptron Learning Algorithms with decision region plots
4.4 Implementation of SVM algorithmfor classification applications
5 Implement a mini project pertaining to an application of Signal Processing in real life, make a presentation and submit a report
222LEC001 – SIGNAL PROCESSING LAB II – M2 SP
Based on the specialization of the streams, experiments must be chosen mandatorily from ANYONE of the sets listed below:
Set I(Specialization: Signal Processing)
Set II (Specialization: Communication Engineering and Signal Processing)
Set III (Specialization: Signal Processing and Embedded systems).
LIST OF EXPERIMENTS:
Set I Speech, Image and Deep Learning Lab
1 Image processing fundamentals-Simulation and Display of an Image, Negative of an Image- Implementation of Relationships between Pixels Geometric transformations- Image rotation, scaling, and translation
2 Apply 2 D DFT, DCT and DWT transform for an image and compare the results
4 Image enhancement-Point/spatial/transform operations – Enhance an image using image arithmetic and logical operations— Gray level slicing/Sharpening/histogram equalization/Filtering/homomorphic filtering
5 Colour image processing –Wavelet-based Image Processing.
6 Image Segmentation
7 Edge detection-basic edge detection methods- parametric and nonparametric approaches Morphological operations -dilation, erosion.
8 Object recognition in an image Template matching/ clustering
9 Feature extraction from speech – Implement the steps for the extraction of MFCC/rhythmic features from a
given audio file
Visualization of spectrogram/Mel-spectrogram—narrow-band and wideband spectrogram
10 Implement the steps to extract LPC coefficient from the given speech file
11 Implement the steps to extract formants using homographic filtering
12 Pattern classification using machine learning/Deep learning, Implementation of KNN, K-Means Clustering, Implementation of Logistic Regression, SVM (speech or image data)
Deep learning architectures using TensorFlow/Keras(speech or image data)
Set II. Communication Engineering
1 Simulation of probability Distributions- Continuous and Discrete. -Illustration of Central Limit theorem.
2 Simulation of PAM and PCM systems and performance evaluation.
3 Implementation of digital modulation schemes-BASK,BFSK, BPSK. Plot BER vs Eb/N0 in AWGN channel.
4 Implementation and performance comparison of QPSK , DPSK, MSK& GMSK.
5 Plotting Eye pattern and Constellation diagram of various digital modulation schemes
6 Implementation of Matched filter, Correlation receiver.
7 Communication over fading Channels-Rayleigh fading & Rician fading
8 Simulation of RAKE receiver.
9 Spread spectrum communication systems-Develop simulation models for Direct sequence Spread spectrum systems and Frequency Hopping spread spectrum systems.
10. Simulation of OFDM system.
Set III. Embedded Systems
A FPGA based experiments:
1 Design entry using Verilog/ VHDL examples for circuit description.
2 Sequential and concurrent statements.
3 Structural and behavioral descriptions, principles of operation and
limitation of HDL simulators.
4 Examples of sequential and combinational logic design and simulation.
5 Test vector generation.
6 Synthesis principles, logical effort, standard cell-based design and
synthesis, interpretation synthesis scripts, constraint introduction and
library preparation and generation.
7 FPGA programming
8 I/O interfacing
9 Analog interfacing
10 Real time application development.
B Microcontroller based Experiments:
1 Design with ARM Processors: I/O programming, ADC/DAC, Timers, Interrupts.
2 Study of one type of Real Time Operating Systems (RTOS)