Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System Blind Identification Matlab Code
標(biāo)簽： Multiple-Input-Multiple-Output Identification Higher-Order Statistics
上傳時(shí)間： 2013-12-24
上傳用戶：wpt
Lab 2 – Synthesizable MATLAB This lab exercise will explore the effects that different MATLAB coding styles have on hardware. The lab has two parts, each of which begins with a short introduction. This lab exercise is based on the simple MATLAB FIR filter model shown below:
標(biāo)簽： MATLAB Synthesizable different exercise
上傳時(shí)間： 2015-09-28
上傳用戶：sammi
New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below
標(biāo)簽： optimization and document MATLAB
上傳時(shí)間： 2015-12-24
上傳用戶：佳期如夢(mèng)
我用matlab寫的一個(gè)corner detector, 效果比現(xiàn)在流行的harris，susan，CSS等效果要好。 Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004. Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering.
標(biāo)簽： detector matlab corner harris
上傳時(shí)間： 2013-12-30
上傳用戶：569342831
Summary: Simple face and eye detection MATLAB Release: R13 Description: You can use this codes for face detection based on color segmentation and eye region detection.
標(biāo)簽： Description detection Summary Release
上傳時(shí)間： 2014-01-03
上傳用戶：xyipie
H.S.Park, D-S.Kim, and W.H.Kwon "A Scheduling Method for Network-based Control Systems", IEEE Transaction on Control System Technology, Vol.10, No.3, pp. 318-330, May, 2002 (Simulation Example 1- Matlab Code)
標(biāo)簽： Network-based Scheduling Control Systems
上傳時(shí)間： 2014-01-20
上傳用戶：cainaifa
This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB. There are 2 programs: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm.
標(biāo)簽： coherence the estimate function
上傳時(shí)間： 2016-07-03
上傳用戶：athjac
This a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.
標(biāo)簽： GUI The ui_start invoked
上傳時(shí)間： 2016-08-24
上傳用戶：杜瑩12345
The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.
標(biāo)簽： independent kernel-ica implements algorithm
上傳時(shí)間： 2014-01-17
上傳用戶：yiwen213
R. Lin and A.P. Petropulu, 揂 New Wireless Medium Access Protocol Based On Cooperation,擨EEE Trans. on Signal Processing, vol. 53, no. 12, pp. 4675-4684, December 2005. (MATLAB code).
標(biāo)簽： R. A.P. Cooperation Petropulu
上傳時(shí)間： 2017-05-22
上傳用戶：libinxny
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