Busy Signals

Oscilloscope is a tool that allows you to analyze signals from your sound card. You could use it with the function generator to test circuits or speakers. Platforms: C and C plus plus

A high-quality interface for visualizing 1-D signals and analysis results. It can handle big files and it features a plugin-interface that allows visualization and editing of signal-related information. Platforms: Matlab

These m-files are generic implementation of distortion of signals Platforms: Matlab

This code calculates the cross-correlation for specified time windows over the duration of two input signals. The time windows can be shifted by increments smaller than the time window length. The code is based upon the 'xcorr' function. Platforms: Matlab

Calculates the average log-spectral distance between CLEAN and NOISY signals. It has the capability of calculating this distance for a specified sub-band as well. This measure is used for evaluation of processed speech quality in comparison to the original speech. Platforms: Matlab

Spectral Subtraction method proposed by berouti for enhancement of noisy speech signals. Platforms: Matlab

This program demonstrate abilty of wavelets to denoise audio data as well its effectiveness on different type of signals at different SNR. I have tested this program on windows xp and MATLAB 6.1 it works perfectly Platforms: Matlab

This is a simple program to simulate Single Side Band Modulated Signals. Many of the students have a very big misconception on Single Side Band Modulation. This is the correct algorithm for SSBAM. This is a simple technique for a very simple, but misunderstood problem. Platforms: Matlab

This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from... Platforms: Matlab

Computes the Woody average by first aligning individual signals (corrupted by jitter) with the standard average. Uses xcorr to compute the lag and then re-averages the signals to get an improved estimate.Example included in help.Technique deteriorates at low SNRs. Platforms: Matlab

The Fourier Calculator (Simulink model) can be used for arbitrary signals. In this case the Wolfer sun spot data are analyzed Platforms: Matlab

using this code user can actually feel the effect of filtering on audio signals and also see how filtering varies with changing the filter used Platforms: Matlab

THIS FUNCTION PLOTS FFT OF THE SIGNAL INPUT TO THE FUNCTION ISuserfft(input, sampling frequency, waveform, psd) input -> Input waveform sampling frequency -> Sampling frequency waveform -> 'real' refers to real baseband signals plots only half the fft output -> 'complex' refers to complex... Platforms: Matlab

This a very simple function that produces a condensed, approximate version of the time-series signal y, with each group of n adjacent points in y replaced by its average. You can use this to condense over-sampled signals so that subsequent processing will be easier and faster. Or you can use it... Platforms: Matlab

Calculates the average log-spectral distance between CLEAN and NOISY signals. Has the option of calculating this distance for speech active periods only. Also you can select a frequency range to study the distance in a sub-band. Platforms: Matlab

This application displays both signals from created MQT Database. Beat annotations and waveform boundary annotations included in the database can be viewed with the signal.Moving a slider, plots further fragments of the signals. User can adjust window length.Samples of signals and annotations are... Platforms: Matlab

nteractive smoothing for time-series signals, with sliders that allow you to adjust the smoothing parameters continuously while observing the effect on your signal dynamically. RunSmoothSliderTest to see how it works. Can be used with any smoothing function, but two fast smooth functions are... Platforms: Matlab

This code provides a tool to identify a state space model from stochastic signals using a subspace approach.The code is implemented in two steps using a nested function. The first step returns a vector of subspace singular values, from which a user can determine an appropriate order for the state... Platforms: Matlab

The Wireless Rope is a framework to experience and study the ubiquitous Bluetooth signals of the environment. Surrounding peoples' phones and places' computers can be detected, traced, and interacted with using the Wireless Rope mobile phone program. Platforms: *nix

Fault handler for SIGSEGV, SIGFPE, SIGBUS and SIGILL signals: display the Python backtrace and restore the previous handler. Allocate an alternate stack for this handler, if sigaltstack() is available, to be able to allocate memory on the stack, even on stack overflow (not available on Windows). Platforms: *nix