----------------------------------------------- %we need a DS-code‚ we create a random‚ complex one‚ length Nc %elements +-1 +- j*1 Nc=32; %note that all parameters are defined as variables %their change afterwards is easy %(no need to change it every place‚ just once) ds=(2*round(rand(Nc‚1))-1)+j*(2*round(rand(Nc‚1))1); %ds-code %plot the ds signal plot([real(ds) imag(ds)])‚ axis([0 Nc -1.1 1.1]) title(’real and imaginary parts of DS code’)‚ legend(’real’‚’imag’)‚pause -------------------------------------------------%we
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Defining a Market Driven Company November 7‚ 2007 by Josh · Leave a Comment Filed under: Financial‚ MBA This isn’t a normal blog post but rather me sharing a paper I recently wrote to describe to a superior what it means to be a ‘Market Driven’ company. It is a long read but I think the information is applicable to many people regardless of title or position in a company. Defining a Market Driven Company: Describing Characteristics of Market Driven Companies for Your Superiors Colgate has
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summarizes some of the differences between B2B marketing and B2C marketing. B2B Relationship driven Maximize the value of the relationship Small‚ focused target market Multi-step buying process‚ longer sales cycle Brand identity created on personal relationship Educational and awareness building activities Rational buying decision based on business value B2C Product driven Maximize the value of the transaction Large target market Single step buying process
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3D Gradient Vector Flow Matlab Implementation Gradient Vector Flow (to the right) calculated on the volume to the left. Gradient Vector Flow (GVF) is a feature-preserving diffusion of gradient information. It was originally introduced by Xu and Prince to drive snakes‚ or active contours‚ towards edges of interest in image segmentation. But GVF is also used for detection of tubular structures and skeletonization. In this post I present a simple Matlab implementation of GVF for 3D images which
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ASSISTANT PROFESSOR CONTENTS: 1)Experiment 1: INTRODUCTION WITH MATLAB SOFTWARE 2) Experiment 2: GENERATION OF BASIC CONTINUES SIGNALS / BASIC DISCRETE SIGNALS 3) Experiment 3: IMPULSE RESPONSE OF AN LTI SYSTEM 4) Experiment 4: CONVOLUTION OF TWO SEQUENCE AND PROPERTIES OF CONVOLUTION 5) Experiment 5: CORRELATION- AUTOCORRELATION 6) Experiment 6: read and display digital image using MATLAB 7) Experiment 7: remove noise using spatial filters. 8) Experiment 8: edge detection
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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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is that some people are more prone to cavities because of their lifestyle and other issues‚ read this article on dental cavities to protect your dental health]. Every young person has it drilled into their head‚ that brushing and flossing are the recommended way to stop the development of cavities. Even adults still believe this myth spread by good meaning parents and some dental professionals. The fact is that there is much more to dental cavities and cavity prevention than meets the eye. For example
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MATLAB EXERCISES UEMH3163 / UECS2053 ARTIFICIAL INTELLIGENCE 1. Run the MATLAB code: a = 1:5; d = a+i*a; e = d’ f = d.’ g = mod(5‚4) 2. Given A = [1 2 4; 1 1 1; 2 3 1] and B = [2 2 2; 2 2 2; 2 2 2]. Run the MATLAB code: a=A>B b=A>1 3. Given A = magic(4). Run MATLAB code : DiagElement = diag(A) DiagMatrix = diag(diag(A)) SuperDiagElement = diag(A‚2) 4. Run the MATLAB code: name = upper(’matlab’) fun = strrep(’hahaha’‚’a’‚’i’) greet = ’Welcome’; where = ’to Joan’’s’; party = ’birthday
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Rat Dissection Lab Report This report is due _____________________________. You will work as a group to complete a report from this dissection (1 report per group – divide the work!). Reports will be graded for content‚ thoroughness and evidence of understanding‚ as well as coherence and neatness. Submit one report per group; each participant must indicate what s/he contributed to the dissection and report. Reports must be written neatly in blue or black ink OR may be word-processed
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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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