Elliptic Curve Cryptosystem

This file calculates BER for or a number of SNR values in Rayleigh Channel.Every BER value has been calculated for 100 errors for precision results.I hope script will help students.

Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK.Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.The computation uses a quasi-analytic (QA) technique that relies on the estimation (approximate one)...

It is a training with sinusoidal input signal to sinusoidal relaxation oscillator VI1 with simulink.Students in computer science can take input Asinwt and get variation A amplitude and frequency w=3.14*F and set curve input/output.


Platforms: Matlab

Add, move and delete points to form a desired spectral curve.The result can be saved to workspace as linear or minimum phase FIR.


Platforms: Matlab

The gradient function in Matlab allows you to compute the slope of a curve along its entire length. But if your curve is a noisy one, then gradient will also be noisy. In this event one might desire to fit a moderately low order polynomial regression model in a sliding window, then differentiate...


Platforms: Matlab

The forced Duffing oscillator exhibits behavior ranging from limit cycles to chaos due to its nonlinear dynamics. When the periodic force that drives the system is large, chaotic behavior emerges and the phase space diagram is a strange attractor. In that case the behavior of the system is...


Platforms: Matlab

clickfit_OH.m lets you mouse-click a series of datapoints on top of a (noisy) scatterplot and returns a spline or polynomial regression through the clicked dataseries. In addition the clicked series itself is returned.clickfit_OH.m uses an altered version of ginput.m (ginput_OH.m) that from the...


Platforms: Matlab

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of...


Platforms: Matlab

This is the fastest (though not most accurate) method of fitting a circlle to data points on a plane (given by their xy-coordinates). It returns the circle center (a,b) and radius R. It was proposed by I. Kasa in article "A curve fitting procedure and its error analysis", IEEE Trans. Inst. Meas.,...


Platforms: Matlab

We solve a binary distillation problem using the solution of a Riccati equation. We find that four plates are needed to achieve the desired product purity. We also compute the number of stages with the classical approach by stepping off stages using the equilibrium curve and the operating line....


Platforms: Matlab

The zip file includes the model description in a pdf file, a simulink model of the steam condenser, a function to perform Reaction Curve PID tuning and an m-file to run the model.The m-file can be used to learn how to use the Reaction Curve approach to tune a PID controler. The model itself can...


Platforms: Matlab

It is training for students a PWM input signal to sinusoidal oscillator VI1 with simulink new library block.Student can change the frequency,the nivel and the ration for PWM, pulse width modulation input and set curve input/output frequency.


Platforms: Matlab

Gas absorption is a very ubiquitous unit operation in any chemical plant. It has in common with liquid-liquid extraction that there are two carrier streams and one solute to be partioned between them. Here, we use the McCabe and Thiele graphical method to study the separation of acetone from air....


Platforms: Matlab

function out=janaf(prop, spec, T) | Version 1.01 --------------------------------------------------------------------- Calculates JANAF curve fit according to JANAF virial equation Output is calculated in SI-units prop = 'c' for standard state specific heat = 'h' for standard state enthalpy = 's'...


Platforms: Matlab

pbest=EASYFIT(x,y,varargin) fits the data Y = f(X) to a model function Y = FUN(P,X).If FUN is not given as an input argument, POLYFIT is used as the model function.Bounds on the parameters P may be set.By default a plot is generated which presents the data as well the "best" curve, confidence...


Platforms: Matlab

Engineers are often interested in obtaining optimal topologies, i.e., optimal conceptual designs, for various structural problems. The attached Matlab code generates such optimal topologies in about 199 lines of Matlab code. Two structural problems are 'hard-coded' as illustrative examples....


Platforms: Matlab

Simple example showing how a value neutral hedge is determined for the UK power (electricity) markets.HedgeControl Function for power hedging of Balance of Month, Monthly and Seasonal products based on value forward preservation hedging, i.e. uses the forward curve to determine the value neutral...


Platforms: Matlab

In the program, an example from the field of nonlinear chemical dynamics is presented. Governing equation and reaction scheme can be found in G. Nicolis, Dynamique Chimique, Thermodynamique, cindoTetique et mdoTecanique statistique, Dunod, Paris 2005. We use the arc length continuation method to...


Platforms: Matlab

This is the power prediction analysis demo that was used in the "MATLAB for Excel Users" webinar. You can view the webinar at:http://www.mathworks.com/wbnr37971This demo requires only MATLAB, Statistics Toolbox, and Curve Fitting Toolbox. In the webinar, we also discussed Spreadsheet Link EX,...


Platforms: Matlab

The program computes residue curves for a ternary mixture composed of acetone, chloroform and methanol.Wilson model is used to get activity coefficients. The program is composed of two parts; one for positive warped time and the other for negative warped time. Initial conditions have been chosen...


Platforms: Matlab