PROJECT TOPICS-COMMUNCATION,IMAGE PROCESSING

COMMUNICATIONS TOPICS

·        Year 2007

• An OFDM-CDMA scheme for High Data Rate UWB applications 
• Time-Domain Signal Detection Based on Second-Order Statistics for MIMO-OFDM Systems.

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·        Year 2008

• A Token-Based Scheduling Scheme for WLANs Supporting Voice/Data Traffic and its Performance Analysis 
• Adaptive Radio Resource Allocation for Downlink OFDMA/SDMA Systems with Multimedia Traffic 
• Coding Schemes Applied to Peak-to-Average Power Ratio (PAPR) Reduction in OFDM Systems 
• Cooperative Sensing for Primary Detection in Cognitive Radio 
•  Design and Analysis of Bit Interleaved Coded Space-Time Modulation 
• Enhancing MB-OFDM Throughput with Dual Circular 32-QAM 
• Fast and Efficient QoS-Guaranteed Adaptive Transmission Algorithm in the Mobile WiMAX System 
• Filter Bank Spectrum Sensing for Cognitive Radios 
• Joint Optimum Linear Precoding and Power Control Strategies for Downlink MC-CDMA Systems 
• Efficient Spatial Covariance Estimation for Asynchronous Co-channel Interference Suppression in MIMO-OFDM Systems 
• Power Allocation for Two Different Traffics in Layered MIMO Systems 
• Performance Evaluation of the WiMedia PHY in WPAN Environments and Efficiency Improvement by Application of LDPC Codes

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·        Year 2009

• Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods 
• Ranging With Ultrawide Bandwidth Signals in Multipath Environments 
• Semisoft Handover Gain Analysis Over OFDM-Based Broadband Systems 
• Ultra-Wide-Band Propagation Channels 
• Pulsed-OFDM Modulation for Ultrawideband Communications 
• Grouping Technique for Cooperative Spectrum Sensing in Cognitive Radios
• Implementation of the least squares channel estimation algorithm for MIMO- OFDM systems 
• Sequential Detection for Multiuser MIMO CDMA Systems with Single Spreading Code Per User 
• A Multicode Approach for High Data Rate UWB System Design 
• Replacement of Spectrum Sensing in Cognitive Radio 
• Variance-Reduced Partial Parallel Interference Cancellation for MC-CDMA Uplink Systems 
• A Closed-Form Blind CFO Estimator Based on Frequency Analysis for OFDM Systems 
• Eigenvalue based Spectrum Sensing Algorithms for Cognitive Radio 
• A New Parameter for UWB Indoor Channel Profile Identification 
• Cognitive Radio Sensing Architecture and A Sensor Selection Case Study
• Cooperative Spectrum Sensing with Cluster-Based Architecture in Cognitive Radio Networks 
• Efficient Power Allocation for Coded OFDM Systems
• Measurement Based Channel-Adaptive Video Streaming for Mobile Devices over Mobile WiMAX 

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·        Year 2010

• Bandwidth Exchange: An Energy Conserving Incentive Mechanism for Cooperation 
• Blind Matched Filtering for Multiple Input Multiple Output Transceivers    
• Estimation of Cubic Nonlinear Bandpass Channels in Orthogonal Frequency-Division Multiplexing Systems 
• Error control coding in wireless sensor networks 
• Error-Resilient H.264/AVC Video Transmission Using Two-Way Decodable Variable Length Data Block 
• Simplified Multiaccess Interference Reduction for MC-CDMA With Carrier Frequency Offsets 
• Optical Communications Performance of Hybrid 34-Meter Microwave Antennas
• Performance Analysis of Distributed Decision Fusion Using A Censoring Scheme in Wireless Sensor Networks 

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Year 2011

• Exploiting Sparse User Activity in Multi-user Detection
• Low complexity PTS algorithm based on gray code and its FPGA implementation
• Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-QAM
• Dynamic Dwell Timer for Hybrid Vertical Handover in 4G Coupled Networks
• IIR system identification using cat swarm optimization
• Peak to Average Power Ratio (PAPR) Reduction in OFDM for a WLAN network Using SLM Technique

IMAGE PROCESSING

Others

• Determination of Minutiae Scores for Fingerprint Image Applications
• Support vector machine based multi-view face detection and recognition-2004
• Fingerprint Feature Extraction Based Discrete Cosine Transformation (DCT)-2006
• Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images
• Determination of Minutiae Scores for Fingerprint Image Applications

 Year 2007

• Color Image Segmentation Based on Mean Shift and Normalized Cuts
• Hierarchical contour matching for dental X-ray radiographs 
• An Improving Model Watermarking with Iris Biometric Code
• A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
• Lossless Video Sequence Compression Using Adaptive Prediction

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·        Year 2008

• Active Learning Methods for Interactive Image Retrieval 
• Detecting Dominant Motions in Dense Crowds
• Personal Authentication Based on Iris Texture Analysis 
• Robust Image Segmentation Algorithm Using Fuzzy Clustering Based on Kernel-Induced Distance Measure 
• Wearable Monitoring of Seated Spinal Posture 
• Design of a Distributed Traffic Monitoring System and Algorithm based on Webcamera.
• VisualRank: Applying PageRank to Large-Scale Image Search
• Watermarking Relational Databases using Optimization Based Techniques
• Fingerprint Verification Using SIFT Features

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Year 2009

• A Fast Image Compression Algorithm Based on SPIHT 
• Application of Support Vector Machine and Genetic Algorithm for Improved Blood Cell Recognition 
• Reconstruction Of Underwater Image By BISPECTRUM
• Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods 
• Artificial Neural Network Based Automatic Face Parts Prediction System from Only Fingerprints
• A Histogram Modification Framework and Its Application for Image Contrast Enhancement
• New Statistical Detector for DWT-Based Additive Image Watermarking Using the Gauss–Hermite Expansion
• Fast Query Point Movement Techniques for Large CBIR Systems 
• Codebook Optimization in Vector Quantization using Genetic Algorithm

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  Year 2010

• Face Verification across Age Progression using Discriminative Methods  
• Frequency Compounding for Ultrasound Freehand Elastography 
• Satellite Image Resolution Enhancement Using Complex Wavelet Transform    
•  Video sensor network for real-time traffic monitoring and surveillance
• Error-Resilient H.264/AVC Video Transmission Using Two-Way Decodable Variable Length Data Block 
• Designing of High-Speed Image Cryptosystem Using VQ Generated Codebook and Index Table
• Towards Handwritten Mathematical Expression Recognition  .

Year 2011

• A Point Feature-based Cylindrical Image Mosaic Method 
• Image Mosaics Algorithm Based on Feature-Block Matching
• Modeling and Formalization of Fuzzy Finite Automata for Detection of Irregular Fire Flames
• Real-time Sign Language Recognition based on Neural Network Architecture

SIGNAL PROCESSING

• Speech Emotion Recognition Based on HMM AND SVM-2005
• Improving the intelligibility of dysarthric speech-2007 
• Content-BasedMusic Information Retrieval: Current Directions and Future Challenges-2008 
• Speech Enhancement Using Harmonic Emphasis and Adaptive Comb Filtering-2010
• Implementing a Speech Recognition System Interface for Indian Languages

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NETWORKING

• Adaptive Routing in Dynamic Ad Hoc Networks-2008 
• Cooperative MIMO-Beamforming For Multiuser Relay Networks-2008
• A Medium Access Control Scheme for TDD-CDMA Cellular Networks with Two-Hop Relay Architecture-2009
• Single-Link Failure Detection in All-Optical Networks Using Monitoring Cycles and Paths-2009

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The above listed topics is just for reference. If you have any new Ideas/Papers send to us at info@verilogcourseteam.com or Call +91 9894220795.

VARIANCE-REDUCED PARTIAL PARALLEL INTERFERENCE CANCELLATION FOR MC-CDMA UPLINK SYSTEMS

MULTICARRIER code division multiple access (MCCDMA) is one of the promising techniques for fourth generation wireless mobile communication systems. MCCDMA has several advantages, such as efficient spectrum utilization and immunity to multipath impairment. One major drawback associated with MC-CDMA is that multiuser detection is often necessary to overcome the multiple access interference (MAI) problem in uplink systems. Many multiuser detection approaches have been proposed in the literature .Among them, multistage parallel interference cancellation (PIC) has received great attention because of its low complexity and low processing latency, but it fails to guarantee performance improvement with more interference cancellation (IC) stages in moderate to high system load environments. To alleviate this problem, Divsalar et al. proposed the partial PIC (PPIC) detector, which first estimates MAI and then partially cancels it from the received signal on a stage-by-stage basis. Moshavi also indicated in that linearly combining soft tentative decisions of each IC stage can reduce the variance of the signal estimate, which will generate more reliable MAI estimates. As revealed in, a bit estimator that linearly combines the soft decisions from previous stages at a given stage for interference cancellation is inherently used by the PPIC approach. Therefore, the PPIC approach outperforms the PIC approach. Because the PPIC detector introduces weighting factors (WFs) to each IC stage, the performance depends highly on the choice of them. For good performance, two optimal WF (OWF) selection schemes based on analyzing the bit-error-rate (BER) were proposed for CDMA systems. However, the complexity of BER analysis increases greatly with the number of IC stages, and these approaches generally are not suitable for applications with more than two IC stages.

In this project, an improved version of PPIC, called variance-reduced PPIC (VRPPIC),for C-CDMA uplink systems. First,the main PPIC operations, where (the number of active users) multiplications of the original PPIC scheme are replaced with additions for each IC stage.Then we derive VRPPIC based on this simplified PPIC, where a new bit estimator is used for linearly combining soft tentative decisions from PPIC to reduce the conditional variance of the final signal estimate. In addition, an OWF selection algorithm for VRPPIC based on minimizing a conditional variance function of the final signal estimate. With the monotonically increasing property of the conditional variance function, it is shown that the OWFs for all IC stages are equal and can be approximately expressed as a linear function of the number of active users. Computer simulation results show that the proposed VRPPIC using the derived OWFs significantly improves the system performance.

VIDEO DEMO

SIMULATION OF HARDWARE BASED EDGE DETECTION

INTRODUCTION:

Edge detection is a fundamental tool used in most image processing applications to obtain information from the frames before feature extraction and object segmentation. This process detects outlines of an object and boundaries between objects and the background in the image. Beyond that, Edge Detection refers to the process of identifying and locating sharp discontinuities in intensities in an image. The discontinuities are abrupt changes in pixels intensity which characterize boundaries of objects in a scene structure. This process significantly reduces the amount of date in the image, while preserving the most important structural feature of that image. Edge detection is considered to be the ideal algorithm for images that are corrupted with white noise. The Edge is characterized by its height, slope angle,and horizontal coordinate of the slope midpoint. An ideal Edge Detector should produce an edge indication localized to a single pixel located at the midpoint of the slope.There are many ways to perform Edge detection. However, the majority of different methods may be grouped into two categories, gradient and Laplacian. The basic Edge detection operator is a matrix area gradient operation that determines the level of variance between different pixels. The edge detection operator is calculated by forming a matrix centered on a pixel chosen as the centre of the matrix area. If the value of the matrix area is above a given threshold, then the middle pixel is classified as an edge. Examples of gradient based edge detectors are Roberts, Prewitt and Sobel operators. All the gradient –based algorithms have Kernel operators that calculate the strength of the slope in directions that are orthogonal to each other, generally horizontal and vertical.
The requirements that the algorithms must meet are:
a) Show the effectiveness and the noise resistance for remote sensing image.
b) Satisfying real time-constraints, and minimizing hardware resources in order to meet embedding requirements.
c) Significantly reducing the amount of date and filters out useless information.

Classically, Edge detection algorithms are implemented on software. With advances in the VLSI technology hardware implementation has become an attractive alternative. Assigning complex computation tasks to hardware and exploiting the parallelism and pipelining in algorithm yield significant speedup in running times. Implementation image processing on reconfigurable hardware minimizes the time-to-market cost, enables rapid prototyping of complex algorithm and simplifies debugging and verification.

VIDEO DEMO

AN IMPROVING MODEL WATERMARKING WITH IRIS BIOMETRIC CODE

INTRODUCTION

We using one algorithm of the discrette wavelet transformation DWT, which sends itself in wise Haar for performing in water sign. The discrette wavelet transformation is relatively new notion, which wants to change the purpose (Or Filler) Broad used discrette transformation of the cosine (DCT) that uses itself in Compression JPEG. The Purpose a method on this in use biometric discriminating line is provided digital scene. The Copyright Protection- digital scene offers the method with use one Bio measured feature,and as follows: iris-play-off owner, who identifies his(its) synonymy Embedding watermark.The Input signal elements are a transport image, which must be protected for this method, watermark has took into consideration include. She standing with compute the rubbish for iris-play-off of the code of the pattern human. The Algorithm,which is elected to be an execution, which lifted contribution uses the obvious wave transformation so it is named transformation Haar, what include the water volumes of the mark in seconds level wavelets(2- two levels DWT), and two levels HL2 and two justify LH2 region. Since the message defines on these level information in less degree on image because of this also change (include the noise) on image and they will less. Here, it is necessary to addiction as is mentionned also in picture-machine and quality on water mark. This dependency solves as information, e.g. volume on water mark, can change without visibility of the garbling the rebel against transport image.The Used watermark in offered models - also digital image, which is elected to be on to grey scale of the format BMP.

The Number water sign must be according to with size transport image, this can be gained program. In undefended event this not carry in checkmore lung completion doubtful displacement to be capable observer changes quality introductions to other frame-transport and other water sign.For embedding the watermark is using setup the generator of whatever worth's uses itself, as he is installed with respect to chosen by us switch e. g. this hash worth had calculated for the concrete iris-code. The used hash function is MD 5 (Algorithm 5 Message Digest), from which we receive 128-BIT code. Each Hash value will be different on the different pictures to irises - but the goal is alone worth for digests is being got here unique worth for Iris code.

VIDEO DEMO