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 Matlab Butterworth Filter Design 

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Recently needed to see the effects of a CIC decimating filter but realized that with my new license of Matlab, I did not have access to the Filter Design Toolbox. This is a quick attempt at a simulation to re-create the effects of CIC-decimation but without the fixed-point access to the multi-rate filter design tool.



Includes webinar slides as a PDF file together with a MATLAB script and a Simulink model to demonstrate filter design, implementation and HDL code generation capabilities with MATLAB, Simulink and featured toolboxes



Matlab codes are provided for min-max optimization for loop-filter design in delta-sigma modulators.
The MATLAB codes are based on our recent paper:
M. Nagahara and Y. Yamamoto,
Frequency-Domain Min-Max Optimization of Noise-Shaping...



These three files include Farrow filter design and implementation. One is float and second is fixed point.
One can find the theory of the Farrow resampler in the literature. Here there is an example of Matlab implementation.
The design...



MD&D is a MATLAB toolbox for design and then testing single point oceanographic moorings influenced by currents and wind. The supplied database will allow you to build a mooring and test it under typical current conditions, or force it by a...



The code provides the user friendly GUI usage in filter design.



In this study, windowing-based Finite Impulse Response (FIR) filter design method is implemented for four regular filters ( Low Pass, Band Pass, Band Stop and High Pass). Detailed steps are described. The related codes are uploaded to the website...



ButterParam - Fast parameters for a digital Butterworth filter

The calculation of filter parameters with BUTTER is expensive. Therefore ButterParam stores calculated parameters in a lookup-table to accelerate repeated calls with the...



The code was generated according to

T.S. Durrani, and R. Chapman. Optimal All-Pole Filter Design Based on Discrete Prolate Spheroidal Sequences. IEEE Transactions on Acoustics, Speech and Signal processing, Vol ASSP-32, No.4, August...



The zipped file contains 18 m files implementing all experiments in the course EC1302 DSP Lab under Anna University Chennai, India syllabus: butterworth lowpass filter design using bilinear transformation & impulse invariant methods given...



FilterM, FiltFiltM: Fast digital filter

These functions are compatible to MATLAB's FILTER and FILTFILT commands,
but they are faster (see screenshot):
FilterM: 30%-40% of FILTER runtime
FiltFiltM: 4%-20% of FILTFILT...



Runtime parser with end user visual interface. Nice for creating calculators, runtime evaluation, runtime filter design, ...



This package is a continues to be expanded. New examples include: VCO with user defined phase noise, impedance matching and filter design, interleaved ADC, clock multiplying delay lock loop, clock recovery for NRZ data. Further examples include:...



This function plots a Gaussian impulse response, unit impulse and the
% convolution/deconvolution of both using MATLAB's 'filter'. Specifically
% it uses 'filter' rather than 'deconv' to do the deconvolution and thereby
% returns...



This package contrasts and compares the response of SAW correlators to user-specified BPSK codes based upon finger number, carrier frequency, temperature differences, frequency shifts, and substrate. Also included is a SAW filter design module and...



fSGolayFilt is a fast polynomial smoothing filter for uniformly spaced signals. This implementation offers less flexibility than other versions found in the MATLAB Central (eg. from Jianwen Luo, YangQuan Chen or Vassili Pastushenko), but it is...



Satellite Tracking using Kalman Filter. The satellite model including pertubation forces and the model is implemented using Simulink package and Matlab use defined function



2-D zero phase digital FIR filter using Hamming Window



Here is the root raised cosine match filter example. The code exploits the persistent memory option of filter for the tails of RRC. Thus, you don't have to apply filter to all data at the same time.

Thank you.



This is an implementation of fast bilateral filtering for 3D images. This filter smoothes the image while preserving edges, but in its most straightforward implementation is very computationally demanding, especially with large 3D images. Fast...