Signal Processing
Branch: Electrical Communication
Topic: Signal Processing
S.no. | Project code | Project theme | Technology | download |
1 | ICDST-AD01 | An Adaptive Fixed -point IVA Algorithm Applied to Multisubject Complex Valued FMRI data | Signal Processing | |
2 | ICDST-AD02 | An Angular Parameter Estimation Method for Incoherently Distributed Sources via Generalized Shift Invariance | Signal Processing | |
3 | ICDST-AD03 | Efficient and Robust RFI Extraction Via Sparse Recovery | Signal Processing | |
4 | ICDST-AD04 | Explicit State-Estimation Error Calculations for Flag Hidden Markov Models | Signal Processing | |
5 | ICDST-AD05 | Flexible Multi-layer Sparse Approximations of Matrices and Applications | Signal Processing | |
6 | ICDST-AD06 | Graph Signal Denoising via Trilateral Filter on Graph Spectral Domain | Signal Processing | |
7 | ICDST-AD07 | Investigating Ultra harmonic Modeling from Ultrasound Echo Signal with SISO Volterra Filter | Signal Processing | |
8 | ICDST-AD08 | Iterative Methods for Subspace and TDOA Estimation in Non uniform Noise | Signal Processing | |
9 | ICDST-AD09 | Japanese Janken Recognition by Support Vector Machine Based on Electromyogram | Signal Processing | |
10 | ICDST-AD10 | New Sparse-Promoting Prior for the Estimation of aRadar Scene with Weak and Strong Targets | Signal Processing | |
11 | ICDST-AD11 | Online Censoring for Large-Scale Regressions with Application to Streaming Big Data | Signal Processing | |
12 | ICDST-AD12 | Semi definite Programming for Computable Performance Bounds on Block-Sparsity Recovery | Signal Processing | |
13 | ICDST-AD13 | Generalized Correntropy for Robust Adaptive Filtering | Signal Processing | |
14 | ICDST-AD14 | Super Nested Arrays: Linear Sparse Arrays with Reduced Mutual Coupling – Part I: Fundamentals | Signal Processing | |
15 | ICDST-AD15 | Robust Convex Approximation Methods for TDOA-Based Localization under NLOS Conditions | Signal Processing | |
16 | ICDST-AD16 | Sub graph-based filter banks for graph signals | Signal Processing |