Estimation Worksheets

Randomly generated information is modulated using 16 QAM and passed through Rayleigh fading channel and AWGN is added.PSAM (pilot symbol assisted modulation)i.e pilot symbols are inserted into sequence of information symbols periodically is done before transmission inorder to estimate channel...

This function estimates 2D-2D projective homography between two images using DLT, RANSAC and Lev-Mar optimisation.The format for calling upon the function is as follows:[h wim] = homography(im1, im2);whereim1 -> 1st Imageim2 -> 2nd Imageh -> Returned homography matrixwim -> Warped version of im1...

Simple implementation of [1] with small modification. Hopefully this is going to help beginners in speech/audio signal processing.[1] X. Zhu, G. T. Beauregard and L. L. Wyse, "Real-Time Signal Estimation From Modified Short-Time Fourier Transform Magnitude Spectra", IEEE Trans. on Audio, Speech,...


Platforms: Matlab

This archive contains the script files of the main program, "MMCE.m", and of 11 function files, used in the solved exercises of the book. They work with Matlab R2007b through R2009b It contains also three simulation diagrams to be used with Simulink, in two versions (for the two versions of...


Platforms: Matlab

Everything was started some years ago - and the previous version was born 10x to dr. Ilia Iliev, technical University - Sofia and the modification of function "xcorr.m" by R. Losada included in the MATLAB 6.15 package. Unfortunately, I've erased the previous version by mistake so I am uploading...


Platforms: Matlab

CHAPTER 1: FOURIER ANALYSIS1.1 CONTINUOUS-TIME FOURIER SERIES (CTFS)1.2 PROPERTIES OF CTFS 1.2.1 Time-Shifting Property 1.2.2 Frequency-Shifting Property 1.2.3 Modulation Property1.3 CONTINUOUS-TIME FOURIER TRANSFORM (CTFT)1.4 PROPERTIES OF CTFT 1.4.1 Linearity 1.4.2 Conjugate Symmetry 1.4.3 Real...


Platforms: Matlab

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)...


Platforms: Matlab

Here is a simulation based proof highlighting the superiority of the MMSE[Min Mean Sq Error] channel estimator over the LS[Least Sq] estimator.The two parameters of evaluation turn out to be, quite logically, the SER[Symbol Error Rate] and the Mean Square Error.The channel is assumed to be...


Platforms: Matlab

Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded references for formula.This code is used for the...


Platforms: Matlab

the current version includes: hwt.m: harmonic wavelet transform whwt:windowed harmonic wavelet transform Gabor_wt: Gabor wavlet transform test_simple.m: phase estimation on needed frequency band by windowed harmonic, Gabor methods, with comparison to Hilbert transform followed by the...


Platforms: Matlab

This submission provides functions (and examples scripts) for estimation, simulation and forecasting of a general Markov Regime Switching Regression. Features of the package:- Support for univariate and multivariate models.- Support of any number of states and any number of explanatory...


Platforms: Matlab

Calculation with variety of inputs parametres, such as:type of exchangerheat exchange arealengthmaterialpressure


Platforms: Matlab

Predict the azimuth and elevation of the Sun within +/- 1 degree at any geodetic latitude, longitude and altitude.Function Call: [Az El] = SolarAzEl('2008/02/18 13:10:00',60,15,0)Input List:UTC Date and Time - Use format YYYY/MM/DD hh:mm:ssLatitude - Site Latitude in degrees -90:90 -> S(-)...


Platforms: Matlab

This algorithm will accept a Latitude, Longitude and Altitude location as well as a specific universal coordinated time. It will use this information and calculate the position of the moon in a local coordinate frame (az and alt aka az and el).Example Function Call:[Az El] = LunarAzEl('1991/05/19...


Platforms: Matlab

function [optN, C, N] = sshist(x,N) [optN, C, N] = sshist(x,N) Function `sshist' returns the optimal number of bins in a histogram used for density estimation. Optimization principle is to minimize expected L2 loss function between the histogram and an unknown underlying density function. An...


Platforms: Matlab

The Extended GARCH Toolbox estimates a variety of GARCH models with different distributions and for any order of ARCH (p) and GARCH (q) effects.The supported models are:GARCH: Bollerslev (1986)GJR-GARCH: Glosten et al. (1993) EGARCH: Nelson (1991) NARCH: Nonlinear ARCH: Engle and Bollerslev...


Platforms: Matlab

How to fit a 2D Gaussian function to noisy data in Matlab? Or data with another number of dimensions and arbitrary fit function?It took me a while to find out how Matlab does this by the functions lsqcurvefit, fmincon or fminsearch. This project demonstrates how to use these functions to fit ND...


Platforms: Matlab

[MU, SIGMA, D] = TRUNCLOGNORMEST(DATA) returns the estimated parameters of the lognormal distribution, with unknown left truncation, using the sample data of percent of observations greater than observed quantities.DATA is assumed to be nx2 where the first column is a set of known values, and the...


Platforms: Matlab

In Evolutionary Multiobjective Optimization (EMO), an algorithm produces a set of points in the performance space as an estimation of the Pareto front. A quantitive measure is desired to estimate the closeness of the estimated data points to the true Pareto front.One of such measures is the...


Platforms: Matlab

The Kalman filter can be interpreted as a feedback approach to minimize the least equare error. It can be applied to solve a nonlinear least square optimization problem. This function provides a way using the unscented Kalman filter to solve nonlinear least square optimization problems. Three...


Platforms: Matlab