IEEE TRANSACTIONS ON IMAGE PROCESSING‚ VOL. 20‚ NO. 5‚ MAY 2011 IMAGE Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition Hasan Demirel and Gholamreza Anbarjafari Abstract—In this correspondence‚ the authors propose an image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet
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System Simulation in Matlab/Simulink Exercise 1: Matlab part 1) Plot the function yx=2∙x-x2+sin(2∙x)∙cos(x) function problem1 (x) y=2.*x-x.^2+sin(2.*x).*cos(x) plot(x‚y‚’r’) end 2) Print n! from n=2 to 20 function problem2 for k=2:20 n=factorial(k) end 3) Make a function that calculates RSS for a give vector. function [rss]=problem3(a) rss=sqrt(a*a’); end 4) Make a function that check to see if a number is a prime. function problem4(n) flag=0; for k=[2:1:(n/2)]
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Detection of pollutants in atmosphere by digital signal processing of satellite images Abstract Satellite imaging has changed the view of remote sensing application. Different methods and ways of processing have been found out . These methods have extended from military applications to research work. A satellite image has to go for image processing and the proper pictorial view can be achieved of the required object. Remote sensing is done in two ways one is satellite imaging and other is ariel
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%we do MC trials for each SNR for l=1:Nmax‚ %MC loop ------------------------------------------------- %DATA %we create data as vectors of length Ns symbols %and thus use MATLAB’s vector processing capabilities %in addition to for loops (since too long vectors are problems %to some versions of MATLAB) Ns=100; data=2*round(rand(Ns‚1))-1; %data is random and generated
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Analog & Digital Communication ____________________________________________ ___________PROJECT REPORT___________ CDMA Transmission Model An Overview in Matlab SUBMITTED TO: Engr. Abdul Basit SUBMITTED BY: Nadeem Raza 09-ECT-05 Amir Mehmood 09-ECT-22 Mohammad Shoaib 09-ECT-29 Saad Najaf Khan 09-ECT-38 Date: 15th June‚ 2012 UNIVERSITY OF ENGINEERING AND TECHNOLOGY TAXILA SUB CAMPUS CHAKWAL Introduction: CDMA is modulation technique to transmit data over a whole frequency
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COMPUTER GRAPHICS AND IMAGE PROCESSING 4‚ 1 8 0 - 1 8 3 (1975) SHORT NOTE Mixtures of Derivative Operators as Edge Detectors R . B. EBERLEIN AND J. S. W E S Z K A Computer Science Center‚ University of Maryland‚ College Park‚ Maryland 20742 Communicated by A. Roset!feld Received October 23‚ 1974 Derivative operators such as the gradient and Laplacian have been used for many years to detect edges in pictures. This note points out a possible advantage of using combinations of such
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mm1 simulation in matlab clc;clear; ST_Idle=0; ST_Busy=1; EV_NULL=0; EV_Arrive=1; EV_Depart=2; EV_LEN=3; Q_LIMIT=1000000; % next_event _type=[]; % num_custs _delayed=[]; % num_delays _count=[]; % num_events=[]; % num_in _queue=[]; % server_status=[]; % area_num _in _queue=[]; % area_server _status=[]; % mean_interarrival=[]; % mean_service=[]; % clock=[]; % time_last _event=[]; % total_of _delays=[]; time_arrival=[]; time_next _event=zeros(1‚EV_LEN);
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Use Matlab to get an intuitive understanding of bonds valuation. 1. Basic knowledge: 1.1 The price equation and its six contributing factors As we know‚ there are six factors that determine the expected price of bonds: the par value(F)‚ the maturity(n) the yield to maturity(y)‚ the coupon interest(CF)‚ the interest payment frequency(m)‚ and the interest rates for each period(ri). We assume that the coupon interest is fixed‚ then the price of bonds(P)is the discounted cash flows
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BIRLA INSTITUTE OF TECHNOLOGY & SCIENCE‚ PILANI Pilani Campus Digital Signal Processing Lab 2 (You are instructed to write solutions‚ plots‚ observations and explorations in your observation record and get it signed before leaving the lab) [A] A sinusoidal signal s(t) is of frequency 1 Hz and peak amplitude of 1. 1. (i) Assume s(t) is sampled with sampling frequency of 10 Hz. Sub plot the samples of sinusoid for 4 sec . (ii) Now plot the continuous signals connecting these samples
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DIGITAL IMAGE PROCESSING MINI-PROJECT PROJECT TITLE: IMAGE DENOISING AND FEATURE EXTRACTION USING SPATIAL FILTERS ACKNOWLDGEMENT: I would like to thank Prof. Thanikaiselvan Sir for constantly guiding me through the course of this project. His class lectures made
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