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matlab
<matlab程序设计与应用>教材源程序，对初学者很有用！(<Matlab programming and application> teaching material source, and is very useful for beginners!
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- 2013-01-19 15:44:07下载
- 积分：1
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PCA
全面分析机械类个企业的经济效益，以一家公司的盈利额为研究对象，选择了8个不同的利润指标，14企业关于这8个指标的统计数据如下表所示，试进行主成分分析。(Comprehensive analysis of the economic efficiency of enterprises machinery months to a company' s earnings amounted research object, select 8 different profit targets, 14 companies on these eight indicators of statistical data in the following table and try to principal component analysis.)
- 2013-09-30 04:00:47下载
- 积分：1
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一阶倒立摆matlab仿真
说明： 一阶倒立摆仿真matlab程序，包含仿真结果和simulink仿真(Matlab program of one order inverted pendulum simulation)
- 2021-03-10 09:40:19下载
- 积分：1
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MIMO_OFDM_Auto-adaptive
MIMO与OFDM结合，采用自适应技术，达到完美的BER性能(Combination of MIMO and OFDM, adaptive technology, the BER performance of perfect)
- 2021-02-06 02:39:56下载
- 积分：1
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color_for_particle_filter
color feature extraction for target tracking and particle filter
- 2015-01-26 00:54:42下载
- 积分：1
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leaveoneout
留一法的matlab源代码，很不错的东西(Leave-one of the matlab source code, it is a good thing)
- 2007-12-03 20:13:14下载
- 积分：1
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mach_sync1
machine synchrone (essai).
- 2009-05-16 23:49:28下载
- 积分：1
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Wavelet_OMP
说明： 基于小波变换与正交匹配准备恢复算法的稀疏恢复算法试验(Orthogonal wavelet transform algorithm is ready to resume Test match)
- 2011-02-24 10:01:07下载
- 积分：1
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quadrotor-simm
自己做的基于非线性动力学模型的四旋翼飞行器用的PID控制的姿态控制仿真模型和位置回路的仿真模型，inversion1是给定位置解算姿态的文件(Based on their own four-rotor aircraft nonlinear dynamic model with attitude control PID control simulation model simulation model and the position loop, inversion1 a given location solver attitude file)
- 2014-12-27 00:02:09下载
- 积分：1
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N-sparse
创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map.
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- 2013-10-21 20:43:18下载
- 积分：1
