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LMS-FTF-LSL
包括:三种LMS算法实现AR(2)的预测,法2、3用递推计算Km,两者区别在于d(n)的取法略微不同;用LSL和FTF算法实现简单的系统辨识。(Include: three LMS algorithm AR (2) the forecast, France 2,3 calculated with recursion Km, whichever is the difference between d (n) of a slightly different取法 LSL and the FTF algorithm with simple system identification.)
- 2020-12-10 23:29:23下载
- 积分:1
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Performance-analysis-of-Chaotic-modulation-system
chaos modulation using simulink
- 2012-04-25 23:38:21下载
- 积分:1
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dipum_1.1.4
说明: 此程序主要是实现matlab中的ICE界面交互(ICE function)
- 2011-03-10 11:05:24下载
- 积分:1
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FFTinMP
本算法是最新FFT用于稀疏分解的快速算法,其中包括了对FFTinMP的计算复杂度的改进。(The FFT algorithm is the latest fast algorithm for sparse decomposition, including the complex calculation of FFTinMP
Complex degree of improvement.)
- 2011-12-07 11:40:38下载
- 积分:1
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auto
自动控制原理的课程设计,包含有根轨迹分析、时域分析、频域分析、控制系统设计及校正的matlab程序设计及仿真实例。(Automatic Control Theory of curriculum design, contains a root locus analysis, time-domain analysis, frequency domain analysis, control system design and calibration procedures for the design and the matlab simulation.)
- 2009-05-02 10:23:52下载
- 积分:1
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caidai
本程序是用processing软件编写的鼠标互动程序,通过移动鼠标可出现有趣动画(The program is written in the mouse interaction processing software program, by moving the mouse, there may be interesting animation)
- 2010-12-23 20:10:25下载
- 积分:1
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MEX
A simple demonstartion for running fortran 90 code a matlab interface using mex.
- 2014-11-25 20:29:46下载
- 积分:1
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Decomposition_LU
将系数矩阵A转变成等价两个矩阵L和U的乘积 ,其中L和U分别是下三角和上三角矩阵。当A的所有顺序主子式都不为0时,矩阵A可以唯一的分解为A=LU。其中L是单位下三角矩阵,U是上三角矩阵。 (The coefficient matrix A into two matrices L and U is equivalent to the product, where L and U are lower triangular and upper triangular matrix. When A master style is not all the sequence is 0, the matrix A can only be decomposed into A = LU. Where L is unit lower triangular matrix, U is upper triangular matrix.)
- 2011-06-21 21:16:09下载
- 积分:1
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MachineLearningMazePolicyEvaluation
Machine Learning Code maze policy iteration value iteration
- 2013-12-13 23:13:33下载
- 积分:1
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CUDA-CNN-master
CNN(卷积神经网络) cuda的加速。
start-of-art结果的流行的数据集
1。测试mnist库并获得99.76 ,投票后(99.82 )(最好的99.79 )
2。测试cifar-10并获得81.42 最好(90 )
3。测试cifar - 100和51.13 (最好的65 )(CNN accelerated by cuda.
The start-of-art result s of popular datasets
1. Test on mnist and get 99.76 , after voting(99.82 ) (best 99.79 )
2. Test on cifar-10 and get 81.42 (best 90 )
3. Test on cifar-100 and get 51.13 (best 65 ))
- 2020-08-31 21:58:10下载
- 积分:1