Frequency

Exp.sweep and impulse response in matlab

The following Matlab project contains the source code and Matlab examples used for exp.sweep and impulse response. [sweep,invsweep]=expsweep(T,f1,f2,silence,fs) generate sine sweep with exponential frequency dependent energy decay over time and time/frequency inverse for impulse response calculation inputs: T = sweep duration in seconds f1 = start frequency in Hz f2 = end frequency in Hz silence = silence before and after sweep in seconds (default: 0) fs = sampling frequency (default: 44100) [h,h_dist]=sweepIR(rec,Nimp,T,f1,f2,offset,fs)

Find phase difference between 2 sinusoidal signals in matlab

The following Matlab project contains the source code and Matlab examples used for find phase difference between 2 sinusoidal signals. % Description: Given 2 sinusoidal signals of the % same frequency, the function gives the "phase difference" between the % 2 given signals % The phase difference is in RADIANS!!!!!! % The output is limited to pd={-pi,pi}radians % Time Stamp: 2010 October 19 2043hrs.

Sinesum estimates a signal as a sum of pure sine waves of known frequency in matlab

The following Matlab project contains the source code and Matlab examples used for sinesum estimates a signal as a sum of pure sine waves of known frequency . function [output m p]= sinesum(signal, freq, Fs) SINESUM Estimates a signal as a sum of pure sine waves of known frequency 'signal' - Input signal you wish to estimate 'freq' - Vector of known frequencies with significant contributions           If no vector is specified, vector is assumed to be a           fundamental (primary freq of signal) plus harmonics (number of

Sine function fit in matlab

The following Matlab project contains the source code and Matlab examples used for sine function fit.   Syntax:         [param]=sine_fit(x,y)           which is the same that         [param]=sine_fit(x,y,[],[],[]) % no fixed_params, automatic initial_params           [param]=sine_fit(x,y,fixed_params) % automatic initial_params         [param]=sine_fit(x,y,[],initial_params) % use it when the estimation is poor         [param]=sine_fit(x,y,fixed_params,initial_params,plot_flag)     param = [offset, amplitude, phaseshift, frequency]  
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