Code Directory
 Visual Basic & VB.NET
New Code
Paste phpSoftPro 1.4.1
Bytescout PDF SDK
Odoo Crafito Theme 1.0
Uber Clone- Taxi Booking App 4.1
Excel Add-in for BigCommerce 1.7
Online Food Delivery Script php 1.0.3
Break Script | Youtube Clone Script 1.0.3
Advanced Content Manager Magento 2 extension 2.2.x
dbForge Studio for PostgreSQL 1.0
ODBC Driver for Salesforce MC 1.3
Social Media Script 1.0
ByteScout PDF Renderer SDK
Magento Mobile App Builder 2.0.0
Binary MLM Plan 1.0.2
Review Assistant 4.0
Top Code
Duval Triangle 1.0
Rigid Body Dynamic: Triple Pendulum with Springs 1.0
Top Rated
Output Messenger 1.8.0
Aliexpress Clone- Ec21 Script 1
Indiegogo Clone 3.0
Advanced MLM Software 1.2
Online Food Ordeing System 1.0
PHP Image Resize Script 1.0
Best Spotify Clone 1.0
Get Random Record Based on Weight 1.0.0
PHP Point of sale 10.0
Travel Portal Script 9.29
Excel Add-in for Bigcommerce 1.6
Magento Product Designer 1.0
OFOS - Just Eat Clone Script 1.0
PrestaShop Upload Images Module 1.2.1
Trading Software 1.2.4
Adaptive Optimal Kernel 1.0
File ID: 86454

Adaptive Optimal Kernel 1.0
Download Adaptive Optimal Kernel 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 112.6 KB
Downloads: 9
Submit Rating:
Adaptive Optimal Kernel 1.0 Description
Description: A time-frequency representation which uses a signal-dependent, radially Gaussian kernel that adapts over time. The code provides an excellent ambiguity domain filter for time-frequency analysis.

Just run the script main_AOK.m to see it in action. The test signal includes three impulses, two simultaneous sinusoids, a Gaussian pulse, and two parallel linear chirps.

The algorithms are described in detail in the paper:
"An Adaptive Optimal-Kernel Time-Frequency Representation" by D. L. Jones and R. G. Baraniuk, IEEE Transactions on Signal Processing, Vol. 43, No. 10, pp. 2361--2371, October 1995.

Special thanks to Richard Baraniuk for making the original C code available.

License: Shareware

Related: optimalkernel, Adaptive, timefrequency, representationquot, jones, paperquotan, Detail, Linear, chirpsthe, Algorithms, baraniuk, transactions, richard, Making, original, Special, Signal

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 112.6 KB

Downloads: 9

More Similar Code

function [optW, C, W] = sskernel(x,W,str)
% [optW, C, W] = sskernel(x,W,str)
% Function `sskernel' returns an optimal bandwidth (standard deviation)
% of the Gauss density function used in kernel density estimation.
% Optimization principle is to minimize expected L2 loss function between
% the kernel estimate and an unknown underlying density function.
% An assumption made is merely that samples are drawn...

% Reliable and extremely fast kernel density estimator for one-dimensional data;
% Gaussian kernel is assumed and the bandwidth is chosen automatically;
% Unlike many other implementations, this one is immune to problems
% caused by...

The TatukGIS Developer Kernel (DK) is a comprehensive GIS development toolkit provided as a Delphi/C++Builder VCL. The toolkit incorporates 2,200 public/protected functions and properties in 120 classes. The DK is royalty-free for desktop...

The TatukGIS Developer Kernel (DK) is a comprehensive GIS development toolkit provided as a Delphi/C++Builder VCL (as well as a ActiveX control supporting .NET). The toolkit incorporates 2,300 public/protected functions and properties in 130...

The Gaussian Kernel can be changed to any desired kernel. However such a change will not dramatically improve results. This is a variant of ridge regression using the kernel trick (Mercers Theorem).

This technique takes advantage of the kernel trick that can be used in PCA. This is a tutorial only and is slow for large data sets.
In line 30 the kernel can be changed. Any Kernel should do it.
Ref :...

Computes the H-infinity optimal causal filter (indirect B-spline filter) for the cubic spline.

d: delay

psi: the optimal filter psi(z) in a TF object
gopt: optimal value

This file is...

This model uses the NLMS adaptive filtering algorithm to suppress additive noise. It does not require a reference noise signal. However, the noise should be such that the auto-correlation of the noise be close to zero for some lag greater than a...

Companion software for the Direct Adaptive Control Algorithms: Theory and Applications, 2e book by Howard Kaufman, Itzhak Barkana & Kenneth Sobel

This tutorial shows how to solve optimal control problems with functions shipped with MATLAB (namely, Symbolic Math Toolbox and bvp4c). Steepest descent method is also implemented to compare with bvp4c.
The examples are taken from some...

User Review for Adaptive Optimal Kernel
- required fields

Please enter text on the image