Data density can be hard to read from scatter plots due to overstriking. I therefore calculate data density at each pixel as the reciprocal of the sum of squared distance from each point, adding a fudge factor to prevent points actually within the pixel going to infinity.
The resulting plot allow for a visual fix on data density.
These are the M-files that accompany the webinar titled "Using MATLABdlT« and the Statistics Toolboxd-OC?D? for Design for Six Sigma (DFSS)." The recorded webinar will be available for viewing on the week of November 28, 2005:
The main program is Main_sound_and_vibs.m. Up to 100 metrics are for each of sound, hand arm vibrations, whole body vibrations, and motion sickness. Main_sound_and_vibs calls the primary depedent function
This zip file contains nine functions related to the generation and use of code sequences. The functions are:
1) corr.m calculates estimates of the periodic and aperiodic cross-correlation function.
2) gold.m generates binary Gold...
Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and Delbert Dueck. Clustering by Passing Messages Between Data Points. Science 315, 972 (2007)". It has some advantages: speed, general...
y = units(x,'unit1','unit2') - Converts x from physical unit1 to unit2
example: units(1,'in','mm') = 25.4
The following units are supported:
Acceleration: m/s^2, cm/s^2, mm/s^2, ft/s^2, in/s^2, G
Angle: rad, deg,...
The signals presented here can be used in demonstrating how the signal varies when the operation is made on either independent variable or dependent variable. The parameters can be varied to have a feel of the variation.
this is a basic polar plot tool in dB , you can change the range which can be very helpful for analyze the nature of your pattern.
Here is a test code:
% Linear Arrays of...
Estimates the complete table of the two level nested analysis of variance for a design with equal or unequal sample sizes (it is referred to the levels of nested factor). Please, first see the README.txt file. Main file only needs the X data...
The file calculates and plots FM noise sidebands for a carrier. It also does sinusoidal modulation. This simple way of adding noise to a carrier is useful for simulation of PLLs. It turns out, though, that the mean of the randn function is not as...
The absorption coefficient can be obtained empirically by using Thorp's formula.Thie formula that used in the code is generally valid for the frequencies above a few hundred hz.The absorption coefficient is used to find the absorption loss part of...
The code is explained in the article P. Okunev, "A Fast Algorithm for Computing Expected Loan Portfolio Tranche Loss in the Gaussian Factor Model", LBNL-57676, 2005.
Value-at-Risk calculation for portfolio stocks using variance-covariance, historical and MonteCarlo methods. Portfolio can be larger as you want including either the risk factor (stock index, currency, etc.)
Calculates the RiskMetrics "Technical Document" (1996) exponentially weighted covariance matrix (p.179), correlation and volatilities.
data - needs to be in format T x k with T = # observations, k = # assets
ScaleTime - fast linear matrix interpolation
I have recorded timeseries of e.g. size [100'000 x 10] and cut out chunks of about 100 frames according to some events and normalize them to exactly 100 frames.
For this task, the direct...
This function detects and locates the time points of action potentials in a trace of membrane potential as a function of time in a neuron. The trace should represent a current clamp recording from a neuron.
With this equation we can find the specific volume of a real gas, in a rank of pressures, isothermally, knowing the factor acentrico the compound. The equation this in function to the understandability factor
According to Wludyka and Nelson (1997), the Analysis of Means (ANOM), which is a test of location, can be converted into a test of scale and used to test the homogeneity of variances test, when the normality assumption is reasonable.
Youtube Links :-
Written for Course :-
Computational Electromagnetics, Fall 2011
Department of Electrical Engineering
Indian Institute of Technology Madras (IITM)
Chennai - 600036, India
The training input vectors and target vectors are read from files data1in and data1out respectively. The no of nodes in input and output layer is decided depending on the no. of rows in these datasets.
The no of hidden layers, No of nodes in...