Showing posts with label MATLAB PROJECT TITLES. Show all posts
Showing posts with label MATLAB PROJECT TITLES. Show all posts

2014- 2015 MATLAB Project Titles || Free IEEE MATLAB project titles and base paper

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·        Scene Text Recognition in Mobile Applications by Character Descriptor and Structure Configuration
·        Reversible Data Hiding In Encrypted Images By Reserving Room Before Encryption
·        Phase-Based Binarization of Ancient Document Images: Model and Applications
·        Fingerprint Compression Based on Sparse Representation
·        Low-Rank Neighbor Embedding for Single Image Super-Resolution
·        BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification
·        An Efficient Parallel Approach for Sclera Vein Recognition
·        BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification

·         Digital Image Sharing by Diverse Image Media Mining Weakly Labeled Web Facial images for Search- Based Face Annotation

Matlab Image processing Project list with GUI

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Steganography:
1. A High Capacity Steganography Scheme for JPEG2000 baseline System.(IEEE 2009)
2. A Reversible data hiding method for Encrypted Images. (IEEE 2012)
3. A performance analysis and implementation of LSB Based steganography.(IEEE 2007)
4. DCT based transform domain steganography method.
5. A Variable bit embedding high capacity steganography for binary image and text message.
6. A LSB based steganography for Video stream.

Image Enhancement:
7. An Automatic wavelet based nonlinear image enhancement technique for aerial imaginary. (IEEE 2010).
8. A Novel Approach to Medical and gray-scale image enhancement.
9. Efficient contrast enhancement using adaptive gamma correction with weighting distribution. (IEEE 2013)
10. Image Enhancement using Histogram equalization and brightness preserving bi-histogram equalization.

Recognition:
11. DCT based IRIS Feature extraction and recognition for security system.(IEEE 2007)
12. Face recognition using PCA and Eigen face approach.
13. License plate recognition using DCT.
14. Voice Recognition using various filters. 

Image Compression:
15. JPEG2000 image Compression standard in MATLAB using DWT.
16. JPEG image compression standard using DCT.
17. SPIHT (Set portioning in hierarchical trees)
18. Advanced SPIHT (Set portioning in hierarchical trees) using Huffman coding.
19. EZW (Embedded Zero tree coding).
20. DCTbased image compression for color images.
21. DCT based image compression for gray-scale images.
22. DWT based image compression for both color and gray-scale images. 

Audio:
23. DWT based audio De-noising.
24. DWT based audio filtering. 

Image Fusion:
25. Image fusion using Maxima, Minima, Average and Weighted Average.
26. Image fusion using Principle component analysis (PCA).
27. Image fusion using DWT (Discrete Wavelet transform) & SWT (Stationary Wavelet Transform).
28. Performance analysis and implementation of Advanced PCA+DWT technique.
29. Image fusion for Medical Images.

Other codes:
30. Image Forgery detection.
31. Content based image retrieval (CBIR).
32. Automatic detection of diabetic retinopathy.

33. Automated defect recognition & evaluation of steel coating conditions using Eigen values.    

50 + Matlab projects coding and simulink download

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1.       ADAPTIVE ROUTING IN DYNAMIC AD HOC NETWORKS
2.       ANT ROUTING SYSTEM-A ROUTING ALGORITHM BASED ON ANT ALGORITHMS APPLIED TO A SIMULATED NETWORK
3.       OPTIMIZED SOFTWARE IMPLEMENTATION OF A FULL-RATE IEEE 802.11A COMPLIANT DIGITAL BASEBAND TRANSMITTER ON A DIGITAL SIGNAL PROCESSOR
4.       RECONSTRUCTION OF UNDERWATER IMAGE BY BISPECTRUM
5.       DESIGN AND ANALYSIS OF BIT INTERLEAVED CODED SPACE-TIME MODULATION
6.       CODING SCHEMES APPLIED TO PEAK-TO-AVERAGE POWER RATIO (PAPR) REDUCTION IN OFDM SYSTEMS
7.       DETECTING DOMINANT MOTIONS IN DENSE CROWDS
8.       A REAL-TIME ADAPTIVE LEARNING METHOD FOR DRIVER EYE DETECTION
9.       DROP PARAMETER ESTIMATION FROM UNDERWATER NOISE PRODUCED BY RAINDROP IMPACT
10.     EFFICIENT SPATIAL COVARIANCE ESTIMATION FOR ASYNCHRONOUS CO-CHANNEL INTERFERENCE SUPPRESSION IN MIMO-OFDM SYSTEMS
11.     FAST AND EFFICIENT QOS-GUARANTEED ADAPTIVE TRANSMISSION ALGORITHM IN THE MOBILE WIMAX SYSTEM
12.     DISCOV: A FRAMEWORK FOR DISCOVERING OBJECTS IN VIDEO
13.     FUZZY LOGIC BASED EDGE DETECTION
14.     FUZZY BASED PID CONTROLLER USING MATLAB FOR TRANSPORTATION APPLICATION
15.     APPLICATION OF SUPPORT VECTOR MACHINE AND GENETIC ALGORITHM FOR IMPROVED BLOOD CELL RECOGNITION
16.     DESIGN OF A DISTRIBUTED TRAFFIC MONITORING SYSTEM AND ALGORITHM BASED ON WEBCAMERA
17.     AN IMPROVING MODEL WATERMARKING WITH IRIS BIOMETRIC CODE
18.     AN EFFICIENT HARDWARE ARCHITECTURE FOR MULTIMEDIA ENCRYPTION AND AUTHENTICATION USING THE DISCRETE WAVELET TRANSFORM
19.     A NEW STATISTICAL DETECTOR FOR DWT-BASED ADDITIVE IMAGE WATERMARKING USING THE GAUSS–HERMITE EXPANSION
20.     A HISTOGRAM MODIFICATION FRAMEWORK AND ITS APPLICATION FOR IMAGE CONTRAST ENHANCEMENT
21.     A MULTICODE APPROACH FOR HIGH DATA RATE UWB SYSTEM DESIGN
22.     ULTRA-WIDE-BAND PROPAGATION CHANNELS
23.     PERFORMANCE OF CDMA
24.     OBJECT RECOGNITION USING EUCLIDEAN DISTANCE WITH KNN ALGORITHM
25.     ROBUST IMAGE SEGMENTATION ALGORITHM USING FUZZY
26.     PERSONAL AUTHENTICATION BASED ON IRIS TEXTURE ANALYSIS
27.     A TOKEN-BASED SCHEDULING SCHEME FOR WLANS SUPPORTING VOICEDATA TRAFFIC AND ITS PERFORMANCE ANALYSIS
28.     ADAPTIVE RADIO RESOURCE ALLOCATION FOR DOWNLINK OFDMASDMA SYSTEMS WITH MULTIMEDIA TRAFFIC
29.     COOPERATIVE MIMO-BEAMFORMING FOR MULTIUSER RELAY NETWORKS
30.     DUCHA A NEW DUAL-CHANNEL MAC PROTOCOL FOR MULTIHOP AD HOC NETWORKS
31.     EFFICIENT POWER ALLOCATION FOR CODED OFDM SYSTEMS
32.     MCMAC A PARALLEL RENDEZVOUS MULTI-CHANNEL MAC PROTOCOL
33.     POWER ALLOCATION FOR TWO DIFFERENT TRAFFICS IN LAYERED MIMO SYSTEMS
34.     SEMISOFT HANDOVER GAIN ANALYSIS OVEROFDM-BASED BROADBAND SYSTEMS
35.     SEQUENTIAL DETECTION FOR MULTIUSER MIMO CDMA SYSTEMS WITH SINGLE SPREADING CODE PER USER
36.     A MEDIUM ACCESS CONTROL SCHEME FOR TDD-CDMA CELLULAR NETWORKS WITH TWO-HOP RELAY ARCHITECTURE
37.     A NEW PARAMETER FOR UWB INDOOR CHANNEL PROFILE IDENTIFICATION
38.     VARIANCE-REDUCED PARTIAL PARALLEL INTERFERENCE CANCELLATION FOR MC-CDMA UPLINK SYSTEMS
39.     MEASUREMENT BASED CHANNEL-ADAPTIVE VIDEO STREAMING FOR MOBILE DEVICES OVER MOBILE WIMAX
40.     IEEE 802.16/WIMAX SECURITY
41.     BIOMETRICS SECURITY IN WIMAX
42.     DISTRIBUTED SUPPLY CHAIN MANAGEMENT USING ANT COLONY OPTIMIZATION
43.     A CLOSED-FORM BLIND CFO ESTIMATOR BASED ON FREQUENCY ANALYSIS FOR OFDM SYSTEMS
44.     BANDWIDTH EXCHANGE: AN ENERGY CONSERVING INCENTIVE MECHANISM FOR COOPERATION
EFFICIENT POWER ALLOCATION FOR CODED OFDM SYSTEMS
45.     PERFORMANCE ANALYSIS OF DISTRIBUTED DECISION FUSION USING A CENSORING SCHEME IN WIRELESS SENSOR NETWORKS
46.     NEURAL NETWORK BASED ENERGY EFFICIENT CLUSTERING AND ROUTING IN WIRELESS SENSOR NETWORKS
47.     PERFORMANCE ANALYSIS OF MULTI-CARRIER DS-CDMA WIRELESS COMMUNICATION SYSTEM
48.     SPEECH ENHANCEMENT USING HARMONIC EMPHASIS AND ADAPTIVE COMB FILTERING
49.     A FAULT TOLERANT COMMUNICATION ARCHITECTURE SUPPORTING CRITICAL MONITORING WITH WIRELESS SENSOR NETWORKS
50.     COOPERATIVE SENSING FOR PRIMARY DETECTION IN COGNITIVE RADIO
51.     AUDIO CODING USING A PSYCHOACOUSTIC PRE- AND POST-FILTER
52.     TIME-DOMAIN SIGNAL DETECTION BASED ON SECOND-ORDER STATISTICS FOR MIMO-OFDM SYSTEMS

Matlab Based Loudspeaker Testing and Equalization Program-Abstract

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      This project is to develop a Matlab program able to measure the impulse response of the loudspeaker under the test and to use the various DSP techniques to alter and improve this response. GUI will be built to make easier access to various features of this program and to graphically present measured and altered response in a number of useful ways. For equalization, the adaptive filter can balance compensation and modify the sound sources through the LMS algorithm. Hence, the adaptive filter and LMS algorithm will be studied in this project.

The programs have to generate input signal and receive output signal, then analyze those signals to measure the impulse response of the system.
To equalize the impulse response of the system, the adaptive filter which is based on a least mean square algorithm (LMS) should be developed. 
The interface has to be designed by GUI.

Basic Matlab code || MATLAB codes download

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o ............Echelon factorization A = c a b.
cab.m
o cofactor.m........Matrix of cofactors.
o colbasis.m........Basis for the column space.
o cramer.m............Solve the system Ax=b.
o determ.m........Matrix determinant from plu.
o eigen2.m............Characteristic polynomial, eigenvalues, eigenvectors.
o eigshow.m............Graphical demonstration of eigenvalues and singular values.
o eigval.m............Eigenvalues and their algebraic multiplicity.
o eigvec.m............Eigenvectors and their geometric multiplicity.
o elim.m............EA=R factorization.
o findpiv.m............Used by plu to find a pivot for Gaussian elimination.
o fourbase.m............Bases for all 4 fundamental subspaces.
o grams.m............Gram-Schmidt orthogonalization of the columns of A.
o house.m............Stores the "house" data set in X.
o inverse.m............Matrix inverse by Gauss-Jordan elimination.
o leftnull.m............Basis for the left nullspace.
o linefit.m............Plot the least squares fit by a line.
o lsq.m............Least squares solution of Ax=b.
o normal.m............Eigenvalues and eigenvectors of a normal matrix A.
o nulbasis.m............Basis for the nullspace.
o orthcomp.m............Orthogonal complement of a subspace.
o partic.m............Particular solution of Ax=b.
o plot2d.m............Two dimensional plot.
o plu.m............Rectangular PA=LU factorization *with row exchanges*.
o poly2str.m............Convert a polynomial coefficient vector to a string.
o project.m............Project a vector b onto the column space of A.
o projmat.m............Projection matrix for the column space of A.
o randperm.m............Random permutation.
o rowbasis.m............Basis for the row space.
o samespan.m............Test if two matrices have the same column space.
o signperm.m............Determinant of the permutation matrix with rows ordered by p.
o slu.m............LU factorization of a square matrix using *no row exchanges*.
o splu.m............Square PA=LU factorization *with row exchanges*.
o splv.m............Solution to a square, invertible system.
o symmeig.m............Eigenvalues and eigenvectors of a symmetric matrix.
o tridiag.m............Tridiagonal matrix.

Fingerprint Based Identification System-Introduction

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The characteristics of the friction skin that generates the fingerprint are unique to each person and remain unchanged from the time of formation until decomposition after death. Identification is made on a system based on the reliable extraction of such features from a fingerprint image. Due to the uniqueness and permanence of this features, also called minutiae, the usage of fingerprint for identification purposes has begun in ancient times, bloomed in the late 1800s and early 1900s and is now the biometric most used in everyday life of human kind. However the fingerprint image in hand is not always of good quality, the image may not be clear, distorted, noisy, etc., and this could be due to many factors including acquisition method and environment condition. Since the performance of the system relies on the quality of the features extracted, in order to compensate for these negative factors, the fingerprint image has to go through different stages in order to be properly matched for identification. These stages are image pre-processing, feature extraction, post-processing and finally matching. The aim of this project is to implement a fingerprint identification system tool with Matlab Software in order to be used for teaching and research purposes by evaluating and comparing the performance of two algorithms for each of the main stages of the identification system.


Requirements
Ø Research in the area of Biometrics and Image Processing.
Ø Implement two algorithms for each main stage of the system and evaluation of the performance of each one in comparison with the other.
Ø Implement a GUI to illustrate the performance of the system.
Ø  Both the system and the GUI have to be implemented using the Matlab Software.

MATLAB PROJECT TITLES

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Among the various programming languages, MATLAB is one of the best for industry automation and problem solving. It provides an interactive environment that enables you to easily develop algorithm, visualize data, and also for numerical computation.
You can solve technical computing problems quickly and easily. It takes less time than with other traditional programming languages such as the C, C­­++ and FORTRAN etc.
Applications of MATLAB
MATLAB can be used quite extensively. Some of its applications include signal and image processing, communication, control design, financial modeling and analysis, computational biology, and test and measurement.
MATLAB also provides add-on toolboxes which are basically a collection of special purpose functions, which extends special environment to solve problems included in a particular class of applications.