This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
標簽： particularly designed teaching toolbox
上傳時間： 2016-11-25
上傳用戶：hustfanenze
實現：SELECT [ALL|DISTINCT] <屬性表達式>[，<屬性表達式>…] FROM <表名或視圖名>[，<表名或視圖名>…] [WHERE <條件>] [GROUP BY <屬性1>[HAVING<條件>]] [ORDER BY <屬性2> [ASC|DEC]
上傳時間： 2014-01-19
上傳用戶：lvzhr
MATLAB Code for Optimal Quincunx Filter Bank Design Yi Chen July 17, 2006 This file introduces the MATLAB code that implements the two algorithms (i.e., Algorithms 1 and 2 in [1], or Algorithms 4.1 and 4.2 in [2]) used for the construction of quincunx filter banks with perfect reconstruction, linear phase, high coding gain, certain vanishing moments properties, and good frequency selectivity. The code can be used to design quincunx filter banks with two, three, or four lifting steps. The SeDuMi Matlab toolbox [3] is used to solve the second-order cone programming subproblems in the two algorithms, and must be installed in order for this code to work.
標簽： introduces Quincunx Optimal MATLAB
上傳時間： 2014-01-15
上傳用戶：cc1
Please read this document before attempting to compile and run the libraries and applications! The projects must be compiled in a particular order. Standard support questions are about compiler and/or linker errors that are generated when users try to compile the projects in the wrong order. Other information of interest is available here, so read the entire document fi rst. Wild Magic Version 2.1 is what ships with the fi rst printing of the Game Physics book. Some of the applications that are referenced in the book did not make it onto the CD–ROM for the book. Version 2.2 contains those applications, plus more
標簽： applications attempting and libraries
上傳時間： 2014-01-16
上傳用戶：Late_Li
An adaptive fuzzy integral sliding mode controller for mismatched time-varying linear systems is presented in this paper. The proposed fuzzy integral sliding mode controller is designed to have zero steady state system error under step inputs and alleviate the undesired chattering around the sliding surface
標簽： time-varying controller mismatched adaptive
上傳時間： 2014-12-04
上傳用戶：luopoguixiong
44b0公版的測試程序， ******************************************************* * NAME : 44BINIT.S * * Version : 10.JAn.2003 * * Description: * * C start up codes * * Configure memory, Initialize ISR ,stacks * * Initialize C-variables * * Fill zeros into zero-initialized C-variables *
上傳時間： 2013-12-22
上傳用戶：teddysha
Demonstration script for LSSB-AM modulation. The message signal is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3, and zero otherwise.
標簽： Demonstration modulation for LSSB-AM
上傳時間： 2016-12-27
上傳用戶：aysyzxzm
Demonstration script for envelope detection. The message signal is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3, and zero otherwise.
標簽： Demonstration for detection envelope
上傳時間： 2014-01-24
上傳用戶：stella2015
k-step ahead predictions determined by simulation of the ％ one-step ahead neural network predictor. For NNARMAX ％ models the residuals are set to zero when calculating the ％ predictions. The predictions are compared to the observed output. ％
標簽： ahead predictions determined simulation
上傳時間： 2016-12-27
上傳用戶：busterman
％ am.m ％ Matlab demonstration script for DSB-AM modulation. The message signal ％ is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3 and zero otherwise.
標簽： demonstration modulation for message
上傳時間： 2016-12-28
上傳用戶：dongqiangqiang
