Communications, Signal Processing and Learning Group
The candidates are encouraged to go through the individual faculty profiles to know more about the current research areas of the CSPL group.
- August admissions: online application typically open during mid-March to mid-April
- January admissions: online application typically open during November
Exam and Interview:
- Linear algebra/matrix theory
- Probability theory, random variables and random processes
- Convex and non-convex optimization
- Real and complex analysis
- Exam & interview to test how well you can solve problems mathematically
- We expect clear understanding of fundamentals (NOT formula-based approach)
- We look for ability to improvise and willingness to learn
Engineering uses mathematical tools to solve real-world problems. Many problems in Communications, Signal Processing and Learning primarily rely on
Focus of Test
- Linear algebra
- Probability theory & random variables
- Mathematical aptitude
Interview has a broader scope
- Linear algebra, probability, math aptitude, programming aptitude
- Communications, Signal Processing
- Your area of interests and previous projects
|Vector spaces, linear independence, basis, dimension|
|Inner product and norm|
|Matrix algebra, rank, eigenvectors, determinant|
|Solving systems of linear equations|
|Special matrices (diagonal, triangular, orthogonal, symmetric etc.)|
|Probability & Random Variables|
|Probability density and distributions|
|Binomial, exponential, normal, Poisson, exponential random variables|
|Jointly distributed random variables|
|Mean, variance, mode etc.|
|Independence, Conditional probability, Bayes theorem|
- David Lay, “Linear Algebra and its Applications”, Pearson.
- Gilbert Strang, “Linear Algebra and its Applications”, Cengage.
- Erwin Kreyszig, “Advanced Engineering Mathematics”, John Wiley & Sons.
- Athanasios Papoulis and S. Unnikrishna Pillai, “Probability, Random Variables and Stochastic Processes”, McGraw Hill.
- Sheldon Ross, “A First Course in Probability”, Pearson.