About IEEE Matlab Projects

Welcome to the 1 Crore Project Centre in Chennai, where we take pride in presenting you with a wide array of innovative projects for the years 2019-2020. As technology continues to evolve, it’s essential to stay ahead of the curve, and our MATLAB projects are designed to help you do just that. With a team of dedicated experts, we are committed to providing top-notch solutions that cater to your academic and research needs. Whether you’re a student looking to expand your knowledge or a researcher in need of practical applications, our projects are tailored to meet your requirements.

Our focus on IEEE MATLAB projects from 2019-2020 sets us apart as a leader in the field. We understand the significance of staying updated with the latest technological advancements, and that’s precisely what our projects offer. At 1 Crore Project Centre Chennai, we ensure that each project is not just a learning experience but also a stepping stone towards a brighter future. With a dedicated team of researchers, developers, and mentors, we are here to guide you through every step of your project journey, ensuring your success.

When you choose 1 Crore Project Centre Chennai for your 2019-2020 IEEE MATLAB projects, you’re making a choice for excellence. Our commitment to delivering high-quality projects, paired with our passion for technology, makes us your ideal partner. Join us on this exciting journey of innovation, learning, and discovery. Contact us today to explore our diverse project offerings and take a significant step towards your academic and research goals.

Image Processing

• Fusion Similarity-Based Re-ranking for SAR Image Retrieval
• Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
• Semi-supervised Online Multi-kernel Similarity Learning for Image Retrieval
• Learning Short Binary Codes for Large-scale Image Retrieval
• Retrieval Compensated Group Structured Sparsity for Image Super-Resolution
• Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval
• Image Piece Learning for Weakly Supervised Semantic Segmentation
• Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation
• Disjunctive Normal Parametric Level Set With Application to Image Segmentation
• Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation
• Segmentation-Based Fine Registration of Very High Resolution Multi-temporal Images
• Fast Multi region Image Segmentation Using Statistical Active Contours
• Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over L1 -Manifold Hyper-Graph of Discriminative Image Regions
• Residual De-Convolutional Networks for Brain Electron Microscopy Image Segmentation
• Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images
• Integrated Localization and Recognition for Inshore Ships in Large Scene Remote Sensing Images
• Airplane Recognition in Terra SAR-X Images via Scatter Cluster Extraction and Reweighted Sparse Representation
• Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
• Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image
• Turning Diffusion-Based Image Colorization Into Efficient Color Compression
• Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation
• Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions
• Region-of-Interest Coding Based on Saliency Detection and Directional Wavelet for Remote Sensing Images

Video Processing

• Error-Resilient Video Encoding Using Parallel Independent Signature Processing
• Extended Selective Encryption of H.264/AVC (CABAC)- and HEVC-Encoded Video Streams
• Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance
• Moving Object Detection With a Freely Moving Camera via Background Motion Subtraction
• Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition
• Utility-Driven Adaptive Preprocessing for Screen Content Video Compression
• A Joint Compression Scheme of Video Feature Descriptors and Visual Content
• Coding Flow: Enable Video Coding for Video Stabilization
• Geodesic Video Stabilization in Transformation Space
• Real-Time Feature-Based Video Stabilization on FPGA
• Video Stabilization for Strict Real-Time Applications
• A Global Approach to Fast Video Stabilization

Wireless Communication

• Multiple Input Multiple Output OFDM With Index Modulation: Low Complexity Detector Design
• Modulation Classification for MIMO-OFDM Signals via Approximate Bayesian Inference
• Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism
• QoS Driven Channel Selection Algorithm for Cognitive Radio Network: Multi-User Multi-Armed Bandit Approach
• Proactive Spectrum Sharing for SWIPT in MIMO Cognitive Radio Systems Using Antenna Switching Technique
• Transmit Pre-coding for Interference Exploitation in the Underlay Cognitive Radio Z-channel
• A Novel Reservation-Based MAC Scheme for Distributed Cognitive Radio Networks
• A Novel Spectrum Sensing for Cognitive Radio Networks with Noise Uncertainty
• A Distributed Learning Automata Scheme for Spectrum Management in Self-Organized Cognitive Radio Network
• An Efficient Precoder Design for Multiuser MIMO Cognitive Radio Networks With Interference Constraints
• Space-Time Trellis-Coded OFDM Systems in Frequency-Selective Mobile Fading Channels
• Coalition Formation and Spectrum Sharing of cooperative Spectrum Sensing Participants
• Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism
• Cross-Layer Rate Control and Resource Allocation in Spectrum-Sharing OFDMA Small-Cell Networks With Delay Constraints
• Radio Access Network and Spectrum Sharing in Mobile Networks: A Stochastic Geometry Perspective
• Spectral-Efficient Quadrature Spatial Modulation Cooperative Amplify and Forward Spectrum-Sharing Systems
• Effective Capacity of a Novel Spectrum-Band Selection Scheme in Spectrum-Sharing Networks
• Bidirectional AF Relaying With Underlay Spectrum Sharing in Cognitive Radio Networks
• Resource-Allocation Strategy for Multiuser Cognitive Radio Systems: Location-Aware Spectrum Access
• Equal Interference Power Allocation for Efficient Shared Spectrum Resource Scheduling
• Cognitive Coded Cooperation in Underlay Spectrum-Sharing Networks Under Interference Power Constraints
• Maximum Energy Efficiency Tracking Circuits for Converter-Less Energy Harvesting Sensor Nodes
• A Decision Making Technique to Optimize a Buildings Stock Energy Efficiency
• Energy-Efficiency Maximization for Cooperative Spectrum Sensing in Cognitive Sensor Networks
• Energy and Spectral Efficiency Tradeoff for Massive MIMO Systems With Transmit Antenna Selection
• Energy and Spectral Efficiency of Cellular Networks With Discontinuous Transmission
• Spectral Efficiency and Relay Energy Efficiency of Full-Duplex Relay Channel
• Full-Duplex Regenerative Relaying and Energy-Efficiency Optimization Over Generalized Asymmetric Fading Channels
• Spectral Efficiency and Energy Efficiency Optimization via Mode Selection for Spatial Modulation in MIMO Systems
• Spectral and Energy Efficiencies in Full-Duplex Wireless Information and Power Transfer
• Spectrum-Energy Efficiency Optimization for Downlink LTE-A for Heterogeneous Networks
• Differential Feedback of Geometrical Mean Decomposition Precoder for Time-Correlated MIMO Systems
• Exploiting Spatial Channel Covariance for Hybrid Precoding in Massive MIMO Systems