Spectral Estimation

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...

The Empirical Mode Decomposition is a technique to decompose a given signal into a set of elemental signals called Intrinsic Mode Functions. The Empirical Mode Decomposition is the base of the so-called d-deDUHilbert-Huang Transformd-deDt that comprises also a Hilbert Spectral Analysis and an...

HARMASYLLABLESEG - Segments a signal stored in a WAV file into individual syllables. Also graphs the spectrogram and signal with syllables highlighted in red to show what parts of the signal contain syllables. INPUT: - FILENAME: The path to a signal stored in WAV format. The following arguments...


Platforms: Matlab

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...


Platforms: Matlab

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

the stationary signal f(t)=cos(2*pi*5*t)+ cos(2*pi*10*t)+ cos(2*pi*20*t)+ cos(2*pi*50*t)having frequencies of 5,10, 20and 50 Hz at any given time instant.MATLAB program can be implemented to plot the stationary signal mentioned above:Clear...


Platforms: Matlab

This program calcultes the overall GRMS for a PSD function. It also calculates the overall velocity and displacement values.


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

Accurate estimates of the autocorrelation function or the power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the given data. It is assumed that the ARMASA and the...


Platforms: Matlab

Here is a time domain representation of modulated DSB, SSB waves. The spectral analysis is still no available.I hope to incorporate spectral part in next version.


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

This program operates as a signal spectrum analyzer and a distortion meter at the same time. It can accept any numerical data representing few cycles of a signal. The data do not need to be equally separated. At least ten data points per cycle are needed. Higher number of data points will of...


Platforms: Matlab

findFFT returns fft amplitude and frequency vectors from input data, with options to return normal fft, zeropadded fft, windowed fft, or both windowed and zeropadded to remove spectral leakage.IN data - vector containing information to perform fft on '-sampFreq',## - inputs sampling frequency of...


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

Compute the discrete Fourier transform at specified frequencies, not using fft.Why one may need this?(1) MATLAB fft function computes the amplitude of signals only (no phase).(2) Once having the recorded time-series data, one often uses fft to do the spectral analysis. However, the frequency set...


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