The following Matlab project contains the source code and Matlab examples used for generates normalized a-weigthing, -weighting, octave and one-third-octave digital filters. . This series of M-files generates normalized A-weigthing, C-weighting, octave and one-third-octave digital filters.

The following Matlab project contains the source code and Matlab examples used for nonlinear least square optimization through parameter estimation using the unscented kalman filter. The Kalman filter can be interpreted as a feedback approach to minimize the least equare error.

The following Matlab project contains the source code and Matlab examples used for 7 band parametric equalizer. 4 bands use peaking filters, 3 bandes can be choosen as peaking, sheleving, highpass or lowpass filters

The following Matlab project contains the source code and Matlab examples used for exact negative log likelihood of arma models via kalman filtering. Several functions for evaluating the exact negative log-likelihood of ARMA models in O(n) time using the Kalman Filter.

The following Matlab project contains the source code and Matlab examples used for this program designs a prototype filter for use in a quadrature mirror filter filterbank. . This program designs a prototype filter for use in a Quadrature Mirror Filter filterbank.

The following Matlab project contains the source code and Matlab examples used for fast gaussian filtering of 1d, 2d greyscale / color image or 3d image volume. . IMGAUSSIAN filters an 1D, 2D color/greyscale or 3D image with a Gaussian filter.

The following Matlab project contains the source code and Matlab examples used for gaussian filter, determination of integer parameters. Within a sigma range separable filters with integer parameters are sought. The filters have a sum which is an integer power of 2 in order to divide the filter result by shifting the bits.

The following Matlab project contains the source code and Matlab examples used for 2d gaussian filter with varying kernel size and variance.. To generate the filter,code should be written as >>f=gaussian_filter(size_of_kernel,sigma);

The following Matlab project contains the source code and Matlab examples used for gaussian filtering of zero padded and circularized 1 d data. This is a program to test how a gaussian filter works on a set of 1-D data a e.

The following Matlab project contains the source code and Matlab examples used for measurement fusion & state vector fusion. 3D target tracking using fusion of IR and radar measurements. Measurement fusion and state vector fusion along with extended Kalman filter. Run the demo.m to see the results.

The following Matlab project contains the source code and Matlab examples used for unscented kalman filter (ukf) modeling of fitzhugh nagumo dynamics. Unscented Kalman Filter (UKF) applied to FitzHugh-Nagumo neuron dynamics.

The following Matlab project contains the source code and Matlab examples used for gui for denoising video signals with kalman filter. Denoising grayscale video signals using : 1) Estimation with windows option : 3x3x3 or 3x3x2 2) Kalman filter Note : ===== 1.

The following Matlab project contains the source code and Matlab examples used for 1d standard kalman filter (simulink model & program). Description : 1D Kalman filter and two testings : usage [Y,P,K]=Kalman1D(X,Q) Input: X : noisy measurment.

The following Matlab project contains the source code and Matlab examples used for uniform filter bank. This function can be used to design a uniform filter bank (with M analysis and M synthesis filters) so that the perfect reconstruction is almost achieved.

The following Matlab project contains the source code and Matlab examples used for implementations of kalman filter using both message passing algorithm and standard matrix operations. This is a demo of using message passing algorithm (belief propagation) to implement Kalman Filter.

The following Matlab project contains the source code and Matlab examples used for designs a passive filter ( input filter ) for power applications. function [ stg_Ld, stg_Rd, att ] = filter_damping_design( stg_L, stg_C, fs, Zmax) Written by Dr.

The following Matlab project contains the source code and Matlab examples used for second generation vold kalman order filtering. The Vold-Kalman Filter, introduced by Håvard Vold and Jan Leuridan in 1993, is able to extract non-stationary periodic components from a signal using a known frequency vector [1].

The following Matlab project contains the source code and Matlab examples used for extend kalman filter for damage detection in large scale structure. to calculate the responses: run cal.m for system identification, run substructure1/substructure2.m

The following Matlab project contains the source code and Matlab examples used for gaussian smoothing filter. A non-GUI function that will smooth a time series using a simple Gaussian filter.

The following Matlab project contains the source code and Matlab examples used for function evaluatealphabetaparam evaluates alpha and beta parameters for alpha-beta filter . This function evaluates alpha and beta parameters for alpha-beta filter so that the alpha-beta filter becomes a steady-state Kalman filter.

The following Matlab project contains the source code and Matlab examples used for function evalabgparam evaluates the best stable values for an alpha-beta-gamma filter . This function evaluates alpha, beta and gamma parameters and also test its stability. These parameters can make alpha-beta-gamma filter act like a steady-state Kalman filter.

The following Matlab project contains the source code and Matlab examples used for butterworth and chebyshev analog filter. analytical method of designing Butterworth and chebyshev filter is presented using MATLAB. order of filter , transfer function and values of capacitors and inductors for respective filter are also calculated.

The following Matlab project contains the source code and Matlab examples used for kalman filter square root covariance update. This file compares three different versions of the Kalman filter.

The following Matlab project contains the source code and Matlab examples used for generating gaussian filter 2d matrix. Function Inputs: - Filter_size: size of filter - sigma: standard deviation Function Output: - 2D Gaussian filter matrix Example to plot filter matrix in 3D: g1=Gaussian_filter(50,2); g2=Gaussian_filter(50,7); g3=Gaussian_filter(50,11); figure(1); subplot(1,3,1);surf(g1);title('filter size = 50, sigma = 2'); subplot(1,3,2);surf(g2);title('filter size = 50, sigma = 7'); subplot(1,3,3);surf(g3);title('filter size = 50, sigma = 11');

The following Matlab project contains the source code and Matlab examples used for multiple window moving horizon estimation for robust filtering. Long horizon lengths in Moving Horizon Estimation (MHE) are desirable to reach the performance limits of the full information estimator.

The following Matlab project contains the source code and Matlab examples used for multi channel physiological signal estimation (physionet 2010 challenge entry). Combination of gradient adaptive laguerre lattice filters and Kalman filter for the estimation of a missing signal in a multichannel record.

The following Matlab project contains the source code and Matlab examples used for bass treble shelving filter. Derive coefficients for a shelving filter with a given amplitude and cutoff frequency.

The following Matlab project contains the source code and Matlab examples used for digital resistor capacitor (rc) filter. Returns equivalent IIR coefficients for an analog RC filter Usage: [B,A] = RC_FILTER(r, c, fs, type);             R is the resistance value (in ohms)             C is the capacitance value (in farrads)             FS is the digital sample rate (in Hz)             type is a character string defining filter type                 Choices are: 'high' or 'low'

The following matlab project contains the source code and matlab examples used for notch filter.

The following Matlab project contains the source code and Matlab examples used for uniform filter bank. the bandwidths of each filter,as defined,are 4pi/N.