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chapter02
calculate impedance matrix
Makarov book
- 2012-05-19 21:23:42下载
- 积分：1
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LidcavityLBM.m
D2Q9 Multiply Relaxation Time Lattice Boltzmann have been used to simulate 2d rectangular Lid driven cavity.
- 2011-10-01 23:57:27下载
- 积分：1
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A-methog
一种基于图像特征点提取及匹配的方法 (A method based on image feature extraction and matching)
- 2013-12-17 20:24:31下载
- 积分：1
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bpsk
BPSK signal generation
- 2014-02-16 17:08:25下载
- 积分：1
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MCA
morphological component analysis for image cartoon- texture decomposition in matlab
- 2017-07-29 16:31:54下载
- 积分：1
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MFCC_Coding_Demo2
characteristic parameters for speech recognition on the extraction function
- 2019-05-01 15:55:47下载
- 积分：1
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MATLAB仿真DPSK相干解调通信系统
资源描述本程序利用MATLAB仿真DPSK相干解调通信系统，该通信系统主要包括信源、信道编码、差分编码、调制、信道、相干解调、低通滤波、抽样判决、码反变换、信道译码等，程序仿真出了BER曲线。
- 2022-02-13 18:28:18下载
- 积分：1
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imresize
IMAGE RESIZE PROGRAMMMM
- 2013-04-21 00:12:53下载
- 积分：1
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huiguifenxi
里面搜集了各种用matlab编写的回归分析算法，相信对参加建模竞赛的同学们会有所帮助。(Which collected a variety of regression analysis using algorithms written in matlab, I believe the students who participate in modeling contest will help.)
- 2010-08-07 10:45:46下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
