About MATLAB

MATLAB and MATLAB based projects are one of the key areas of work at logsig solutions. In our opinion MATLAB is a extraordinary tool for students to use for their project works. With MATLAB a wide array or final year projects are possible for many departments like ECE, EEE, E&I and more. Over the years MATLAB as a tool has become more and more user friendly and today using MATLAB is quite easy and hence it is possible to implement good final year projects in MATLAB. MATLAB project are equally applicable for BE projects as well as for ME projects and PhD projects also.

matrix laboratory

“MATLAB (matrix laboratory) is a numerical computing environment and fourth-generation programming language. Developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, and FORTRAN”




– Wikipedia

MATLAB based projects

MATLAB is a extensive software with possibilities for final year projects in many different domains. With MATLAB projects are possible in the following primary domains:
  • image Processing Projects
  • Digital Signal Processing Projects
  • Electrical Projects
  • Fuzzy Logic Projects
  • Neural Network Projects
  • ANFIS Projects
  • Embedded Projects




MATLAB PROJECT LIST

  • 1
  • Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar Space-Time Adaptive Processing
  • 2
  • Design and Performance Analysis of Non-Coherent Detection Systems with Massive Receiver Arrays
  • 3
  • A Frequency Domain Approach to Eigenvalue-Based Detection With Diversity Reception and Spectrum Estimation
  • 4
  • Parallel Two-Way Relaying in Cooperative OFDMA Cellular Systems
  • 5
  • Bayesian Texture Classification From Indirect Observations Using Fast Sampling
  • 6
  • Performance Analysis of Spatial Smoothing Schemes in the Context of Large Arrays
  • 7
  • Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data
  • 8
  • Sparse Channel Estimation and Equalization for OFDM-Based Underwater Cooperative Systems With Amplify-and-                  Forward Relaying
  • 9
  • Compressive Deconvolution in Medical Ultrasound Imaging
  • 10
  • Superpixel-Based Segmentation for 3D Prostate MR Images
  • 11
  • Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts
  • 12
  • Fast Automatic Step Size Estimation for Gradient Descent Optimization of Image Registration
  • 13
  • An Automatic Learning-Based Framework for Robust Nucleus Segmentation
  • 14
  • Multi-View Probabilistic Classification of Breast Microcalcifications

  • 15
  • Compressed Sensing Doppler Ultrasound Reconstruction Using Block Sparse Bayesian Learning

  • 16
  • Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation

  • 17
  • Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
  • 18
  • Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
  • 19
  • Fast Audio Fingerprinting System Using GPU and a Clustering-Based Technique
  • 20
  • Estimation of a Fuzzy Regression Model Using Fuzzy Distances
  • 21
  • DOB Fuzzy Controller Design for Non-Gaussian Stochastic Distribution Systems Using Two-Step Fuzzy Identification
  • 22
  • Stability Analysis for Delayed Neural Networks Considering Both Conservativeness and Complexity
  • 23
  • Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints
  • 24
  • A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems
  • 25
  • A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach
  • 26
  • The Kernel Adaptive Autoregressive-Moving-Average Algorithm

  • 27
  • Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network

  • 28
  • A Switching Approach to Designing Finite-Time Synchronization Controllers of Coupled Neural Networks
  • 29
  • Hankel Low-Rank Matrix Completion: Performance of the Nuclear Norm Relaxation
  • 30
  • Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation
  • 31
  • Fast Robust PCA on Graphs
  • 32
  • STFT Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms
  • 33
  • Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization