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Filter Design
| MathWorks - Filter Design Toolbox |
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The Filter Design Toolbox is a collection of tools that provides advanced techniques for designing, simulating, and analyzing digital filters.
Submitted: Jan 09, 2004
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| MathWorks - Signal Processing Toolbox |
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The Signal Processing Toolbox is a collection of MATLAB functions that provides a rich, customizable framework for analog and digital signal processing.
Submitted: Jan 09, 2004
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| lms.m,rls.m |
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LMS and RLS filters.
Submitted: Jul 22, 1999
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| smooth.m |
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Smooths vector data. YOUT=SMOOTH(YIN,N) smooths the data in YIN using a running mean over 2*N+1 successive points, N points on each side of the current point. At the ends of the series skewed or one-sided means are used.
Submitted: Aug 13, 1999
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| ICALAB for Signal Processing |
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ICALAB for Signal Processing is package for MATLAB that implement many efficient algorithms for ICA (independent component analysis) employing HOS (higher order statistics), BSS (blind source separation), SOS (second order statistics), LP (linear prediction), and BSE (blind signal extraction) employing various SOS and HOS methods. After some data preprocessing, this package can also be used for MICA (multidimensional independent component analysis) and NIBSS (non independent blind source separation).
Submitted: Feb 10, 2003
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| Filter-bank and wavelet toolbox |
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Rice Wavelet Toolbox for Matlab: Rice-Wlet-Tools (RWT) is a collection of MATLAB M-files and MEX-files implementing wavelet and filter bank design and analysis. In addition to the design tools the toolbox provides code for wavelet applications for both 1D and 2D denoising as well as code for processing of SAR images. The toolbox (version 1.1) was first officially released on Aug 30, 1993 but have since undergone several significant changes and enhancements. The toolbox is currently being developed under MATLAB version 4.1 on a SPARC station running SunOS 4.1.3.
Submitted: Jun 30, 1999
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| (Lattice) Wave Digital Filter Design and Scheduling Pages |
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With the MATLAB software described on these pages, it is possible to design
Butterworth, Chebyshev, Inverse Chebyshev and Cauer (elliptical) low-pass, high-pass, band-pass and band-stop filters as ladder structures or as Wave Digital or Lattice Wave Digital implementations. There is also an unknown 'Vlach' filter type which allows notches in the stop-band(s) at user definable frequencies. This Vlach type also enables the insertion of Unit Elements (which do contribute to the filter's transfer function) for designing transmission line filters.
A WDF or LWDF design can be translated into synthesizable (fixed-point) VHDL
with the aid of the Scheduling software. This Scheduling software is not limited
to filter implementations only, being flexible enough to be used for all kind of signal processing structures. Apart from the actual VHDL implementation, the
Scheduling software also will generate a testbench and a reference MATLAB simulation for easy (bit-true) debugging.
Submitted: Feb 23, 2006
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| Zero Pole Utility |
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Create your filter by placing its poles and zeros with the mouse in the unit circle. Modify your filter using the drag and drop scheme. Check the harmonic behaviour of the filter. Check the positions (cartesian or polar coordinates) and number of zeros and poles in real time.
Submitted: Jul 22, 1999
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