Responsibility / Work done:1> Gathering Requirements, Documentation, Design, Development, Testing, Optimizing, Integrating and Debugging below algorithms and measurements for high speed serial data systems. These algorithms are implemented in C#, C++ and Matlab.Data Dependent Jitter and Noise (DDJ and DDN), Sub Rate Jitter and Noise (SRJ, F/2, F/4, F/8 and SRN), Periodic Jitter and Noise (PJ, PN), Deterministic Jitter and Noise (DJ, DN), Random Jitter and Noise (RJ, RN), Non Periodic Jitter and Noise (NPJ, NPN), Total Jitter at BER (TJ@BER), Total Noise at BER (TN@BER), Eye Width at BER (Width@BER), Eye Height at BER, (Height@BER), Eye Width, Eye Height, Eye High, Eye Low, Eye Diagram, Mask Hits, Auto fit Mask Hits, Bit Error Rate contours etc.2> Proposed and implemented a tool using which one can modify frequency, amplitude, rise time, fall time in a single dimensional signal. This is very useful tool for generating synthetic signals of different future technologies. This tool is completely implemented in Matlab using vectorization concepts.3> Used ipp libraries to compute Radix 2 fft and ifft etc.4> Below digital signal processing concepts are used in algorithms / measurementsLinear time invariant (LTI) system, Impulse Response, Step Response, Convolution Sum, Windowing concepts (Blackman Window), Discrete time fourier series (DTFS/FFT/IFFT), Coherent gain, Magnitude spectrum, Phase Spectrum, Splitting Fourier co-efficient, FFT of real valued signal which satisfies complex conjugate symmetry in frequency domain, Extracting a time trend of desired frequency in time domain as well as frequency domain, Sinc, Spline and Linear interpolation, Q Scale, Regression.5> Written algorithms for electrical validation and analysis of high speed serial standards at the physical layer for signal integrity as well as timing to achieve the desired level of power / performance goals for JEDEC standards (i.e. DDR, DDR2, DDR3, DDR4, LPDDR and LPDDR2) and MOST technology.

Product / Software Application Name: ALPR (Automatic license plate detection and recognition)Product / Project Description: ALPR is an automatic license plate detection and recognition software application system. This software product aims to identify the location of license plate in an image, segment the characters, recognize and convert it into text format. This product can recognize the license plates belonging to different countries like USA, Singapore and Thailand. These products are widely used in Toll gates, Red light violation systems, Speed violation systems, Shopping malls etc.Responsibility / Work done:1> Gathering requirements, Understanding the research papers, Performing experiments / Prototyping in Matlab, Documentation, Design, Development, Optimization, Integration, Testing and Debugging below algorithms. These algorithms are implemented in Matlab and C. License plate detection, Image Smoothing, Edge detection, Accumulative intensity morphing, Integral image, Binarization, Dilation, Erosion, Line fit / Regression, Skew determination and correction, Character segmentation, Connected components etc.2> Have developed the algorithms for USA, Singapore and Thailand license plates and generated 98% accuracy for Singapore & Thailand license plates and 95% accuracy for American license plates.

Product / Software Application Name: ISP (Intelligent Surveillance Project)Product / Project Description: ISP is an intelligent surveillance software framework. It involved tracking of the commuters on airports or railway station and detection of unattended baggage events for possible bomb threat. The whole system comprises of acquisition, background subtraction, tracking and event detection modules.Responsibility / Work done:1> Have gone to Malaysia to define the work on surveillance project and given plenty of technical presentations of all the components in the project. Represented Elvista Company in Malaysia at MIMOS. Coordinated the efforts of Malaysian team with the Bangalore team.2> Gathering requirements, Understanding the research papers, Performing experiments / Prototyping in Matlab, Documentation, Design, Development, Optimization, Testing, Integrating and Debugging below algorithms. These algorithms are implemented in Matlab and C. Back ground subtraction, Object tracking

Product / Software Application Name: IPenProduct / Project Description: IPen is a software application for converting online human writing captured through Pegasus digital note taker in to text format. This product can recognize both cursive and non cursive handwriting from structured and non structured forms. This product can be used in every bank / income tax department / any organization where documents / forms filled needs to be stored into database. This product recognizes the words / characters written by using Pegasus pen into the text format directly without the database entry operator.Responsibility / Work:1> Gathering requirements, Understanding the research papers, Performing experiments / Prototyping in Matlab, Documentation, Design, Development, Optimization, Testing, Integrating and Debugging below algorithms. These algorithms are implemented in Matlab and C.Spurious point removal, Equidistant point computation, Duplicate point removal, Average smoothing, Vertical and horizontal segment identification and removal filters, Jerk removal, Skew determination and correction by regression, Slant determination and correction, Delayed stroke processing, Stroke segmentation, Noise and dot removal, Normalization, Baseline extraction, Linear and spline interpolation etc.

Product / Software Application Name: Optical Character Recognition EngineProduct / Project Description: OCR is a software product which aims to recognize the handwritten characters in the forms or documents. This product takes a scanned image of structured form as an input, extracts the text written in the document, recognizes the text and stores it in digital text format. This product is used in income tax department where thousands of forms are filled daily which needs to be entered into database. This product makes the life easy by automatically recognizing and storing the database.Responsibility / Work:1> Gathering requirements, Understanding the research papers, Performing experiments / Prototyping in Matlab, Documentation, Design, Development, Optimization, Testing, Integrating and Debugging below algorithms. These modules are implemented in Matlab and C. Bmp file read and write, Plain, Global and Adaptive threshold, Gaussian, Median and Average filtering, Skew and translation determination and correction, Field extraction, Line width threshold algorithm for line removal, Segmentation module etc.

Project Name: Gear fault detection by using DSP concepts Project Description: This project aims to identify a fault in a gear without opening the gear box by obtaining the signal through a transducer. A study on DSP concepts like Fourier transform (FT), Short time Fourier transform (STFT), Continuous wavelet transform (CWT) and discrete wavelet transform (DWT) yields that DWT is the best way to detect the fault in a gear.Responsibility / Work done: Study, Design and implementation in Matlab.