About IEEE Matlab Projects

Welcome to 1 Crore Project Centre Chennai, your gateway to the exciting world of 2021-2022 IEEE MATLAB projects. We are passionate about nurturing talent and empowering individuals to take on the challenges of modern technology. With our extensive experience and commitment to excellence, we offer a range of projects that blend theory with practical application, allowing you to gain valuable insights and skills in the ever-evolving field of MATLAB.

Our 2021-2022 IEEE MATLAB projects are designed to inspire and equip you with the knowledge and tools needed to thrive in this competitive landscape. Whether you’re a student looking to enhance your academic portfolio or a professional seeking to expand your expertise, our projects provide a platform for hands-on learning and innovation. Join us on this journey and unlock the potential of MATLAB while working on projects that address real-world challenges.

At 1 Crore Project Centre Chennai, we understand the importance of staying ahead in the technology race. Our dedicated team of experts is here to guide and support you throughout your project journey. With a focus on quality, innovation, and skill development, we aim to help you achieve your goals and stand out in the world of 2021-2022 IEEE MATLAB projects. Explore our offerings and embark on a transformative learning experience today.

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