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Code 1-20 of 100   Pages: Go to  1  2  3  4  5  Next >>  page  

From GUI can import arbitrary data or audio signal. Next we can plot them both in time and frequency domain. Also we can visualize the short time Fourier transform of that signal.

Let us assume the signal model:
This script provides a method for the blind recognition of the number of sources (the size of X(k)). The noise must be spatially white and the number of receivers is assumed to be stricly...

The .m file simulates a Spread-Spectrum Modulation Trx/Rcx system, in which, the phase of the pseudo-random sequence generated in the transmitter and used to encode the data stream is unknown a priory at the receiver.A parallel search strategy is...

Used on cellular phones to filter out
background noise. Measure the signal to noise ratio of an audio input in realtime. Pass speech but give silence where the input is noise (hiss, snap crackle and pop).

Includes a tutorial on how...

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...

This function creates a user definable digital clock signal waveform with random jitter on it. This function can be used to generate waveform data that can be uploaded onto an arbitrary waveform generator (AWG) to simulate a real world digital...

An M-File for automated tremor analysis which returns the amplitude and frequency of tremor recorded with Polhemus Fastrak.

Relies on functions within the Signal Processing and HOSA

1.random input data generation
2.symbol mapping
3.16-QAM modulation
4.ofdm signal generation

y = RankOrderFilter(x, window, thd) runs a rank-order filtering of order N on x. y is the same size as x. If x is a matrix, RankOrderFilter operates along the columns of x.

Rank-order filter calculates the p'th percentile of the data on...

Matlab version of example 12.3 of text d-deDUPower System Stability and Controld-deDt, McGraw Hill, 1993 by Prabha Kundur

small signal analysis of a power system which includes a generator and exciter connected to an infinite bus.

This soccer season, denoising the noise from the vuvuzela has become very popular, as many fans find the noise from this instrument distracting from the game. In this example, we analyze the vuvuzela spectrum and identify its fundamental and first...

Given an open Simulink model, Log_Signals allows you specify a list of signals in the diagram that you want to log. Optionally, there are flags that let you select "all" or "none".

This script just saves you the...

With this Fourier Calculator a periodic signal can be analyzed and represented in figures with harmonics.
The signals can easily be produced in the model.

Interactive differentiation for time- series signals, with sliders that allow you to adjust the derivative order, smooth width, and scale expansion continuously while observing the effect on your signal dynamically.


The PRBS are based on 3 to 9 bits memory delays and put out 2^3 -1 to 2^9 -1 binary sequence length. Usage: these generators can be used in process identification as noise source on command signal

A time-frequency representation which uses a signal-dependent, radially Gaussian kernel that adapts over time. The code provides an excellent ambiguity domain filter for time-frequency analysis.

Just run the script main_AOK.m to see it...

This could be very useful model when used in signal processing. I have implemented this to filter the disturbances in my ADC signals in my programming and it works good.

This m-file plots the transmitted signal of slow frequency hopped spread spectrum.This uses one symbol transmission per frequency hop.

Embedded MATLAB block provides a way of bringing restricted subset of MATLAB into Simulink. There are couple of possibilities when moving untimed MATLAB algorithms into Simulink. This demo illustrates two such alternatives in porting a sample...

This script calculates BER for a numebr of SNR values in gaussian environment for QAM 16 Modulation.

It calculates 100 errors for each BER measuremnet for better results.

I hope this will be helpful for students of signal...