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A Two-Level 24-Pulse Voltage Source Converter with fundamental frequency Switching for HVDC System

 This project deals with the performance analysis of a two-level, 24-pulse Voltage Source Converters (VSCs) for High Voltage DC (HVDC) system for power quality improvement. A two level VSC is used to realize a 24-pulse converter with minimum switching loss by operating it at fundamental frequen...
  Power electronic        Others     

Orthogonal frequency Division Modulation

Orthogonal frequency-division multiplexing (OFDM) is a method of encoding digital data on multiple carrier frequencies. OFDM has developed into a popular scheme for wideband digital communication, whether wireless or over copper wires, used in applications such as digital television and audio broadc...
  Matlab        Matlab     

TEXT extraction FROM IMAGES

text extraction from images .... steps to follow the above procedure.. steps : detection localization tracking extraction enhancement recognition (optical character recognition)........
  Image Editing        PDF     

Color frequency Image

This is a MATLAB implementation of the Color frequency concept introduced by T. Kashiwagi & S. Oe. With this script, you pick a color image and then it computes the color frequency image. The color frequency  image is an image where the pixel intensity represents the frequency of...
  Matlab        Matlab     

frequency counter program for pic16f887 using mikroC compiler

This program is written to read the frequency of the incoming input signal and display the value of the frequency in the LCD display. The timer is programmed in counter mode. The code is written for PIC16f887 controller as it has substancially large i/o modules integrated in it....
  PIC microcontroller        C     

frequency offset effects in ofdm and ber (bit error rate)

This scripts finds the effects of frequency offset in orthogonal frequency division multiplexing (ofdm) and also plots the effect on bit error rate. A reference paper is also included....
  Matlab        Matlab     

EEMD signal extraction

EEMD signal feature extraction of the source, containing EMD,eemd and Hilbert transforms. % INPUT: % Y: Inputted data; % Nstd: ratio of the standard deviation of the added noise and that of Y; % NE: Ensemble number for the EEMD % OUTPUT: % A matrix of N*(m+1) matrix, where N is the length...
  Matlab        Matlab     

Database fundamentals

Database fundamentalsDatabase fundamentalsDatabase fundamentalsDatabase fundamentalsDatabase fundamentalsDatabase fundamentalsDatabase fundamentalsDatabase fundamentalsDatabase fundamentalsDatabase fundamentalsDatabase fundamentals...
  Algorithm        Others     

Feature extraction MFCC method

this code may help you in order to apply feature extraction method. Generates a set of MFCCs; these are obtained from a band-based frequency representation (using the Mel scale by default), and then a discrete cosine transform (DCT). The DCT is an efficient approximation for principal comp...
  Matlab        Matlab     

extraction of speech signal pitch

References: Cepstrum-Based Pitch Detection Using a New Statistical V/UV Classification Algorithm》 Based on Cepstral pitch extraction method....
  Matlab        Matlab     

Fingerprint Minutiae extraction

This program extracts ridges and bifurcations from a fingerprint image....
  Matlab        Matlab     

Determination of fundamental matrix by a set of point correspondences

The fundamental matrix can be determined by a set of point correspondences. This program demonstrates an example for this problem. The fundamental matrix is a relationship between any two images of the same scene that constrains where the projection of points from the scene can occur in both ima...
  Image Processing        Matlab     

fundamentals of Electromagnetics with Matlab - Lonngren & Savov

Electromagnetic Field Theory is one of the fundamental courses that an electrical and computer engineering student is required to take in order to gain a physical understanding of the foundations and the heritage of the field that will occupy his or her professional life for the several decades foll...
  book        Matlab     

Robotic fundamentals

This is the power point presentation about robotic fundamentals. It gives an initial understanding about how to make robot.. How its functioning. From where to start and what hardware is needed....
  Algorithm        PPT     

C++ fundamental code

This is very fundamental C++ code, algorithm involved is relatively small, mainly C++ structure, easy to understand, it will be helpful for beginners C++ class can print out...
  Algorithm        C++     

Feature extraction

Feature extraction In pattern recognition and in image processing, feature extraction is a special form of dimensionality reduction. When the input data to an algorithm is too large to be processed and it is suspected to be notoriously redun...
  Image Processing        Matlab     

Web project for facial imge extraction

This is a desktop application. Many algorithms and architectures have been proposed over the years in an effort to identify an effective packet classification solution. Use of a high bandwidth and a small on-chip memory while the rule database for packet classification resides in...
  Java Development        Java     

Tesseract Parsing and Feature extraction for Metadata extraction Training

Extracting the following for Scanned Document Images using Tesseract for Metadata extraction (*Line Font Features {Capital Mode, Average Word Height, Average Character Width,Normalized Average Word Height,Normalized Average Character Width}  *Line Position Features {Alignment, Line P...
  Image Processing        C++     

The features extraction for character recognition

The features extraction of single characters of english language based on their geometric properties from the input image. Two approaches are explained for extracting feature vectors. The final feature vector generated for my purpose had more 120 elements. The features are based on the...
  Matlab        Matlab     

Gray-level feature extraction for blood vessel segmentation or classification applications

Feature extraction is an important procedure for image segmentation or classification. This can be used for blood vessel segmentation or classification. Gray_level features are obtained based on operations conducted with the intensity levels of the neighbouring pixels or otherwise called the...
  Matlab        Matlab     

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