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chap01
ex1_1 单位冲激序列
ex1_2 右移20的单位冲激序列
ex1_3 单位阶跃序列
ex1_4 实指数序列
ex1_5 复指数序列
ex1_6 随机序列
ex1_7 系统冲激响应(impz函数)
ex1_8 系统传递函数(freqz函数)
ex1_9 零极点增益
ex1_10 residuez函数应用
ex1_11 Lattice结构全极点IIR系统
ex1_12 Lattice结构全零点FIR系统
ex1_13 Lattice结构零极点结构
- 2010-11-26 09:26:55下载
- 积分:1
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LDPC-MATLAB
上面都是最新的LDPC编码技术,希望对大家都有用哈,我觉得十分的有用(The above are the latest LDPC coding techniques, I hope everyone Ha, I think is very useful)
- 2012-04-21 20:02:14下载
- 积分:1
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tongjijisuan
matlab 二阶迭代 求分位数 随机数 matlab源程序 统计(matlab second iterative sub-digit random number matlab source)
- 2013-04-29 15:33:00下载
- 积分:1
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The-steepest-descent-method
关于最优化算法的Matlab仿真程序,最速下降法与牛顿法。(Optimization algorithm Matlab simulation program, the steepest descent method and Newton method.)
- 2013-05-20 00:15:45下载
- 积分:1
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MATLAByingyongchengxu
说明: 独到精辟的算法及例子,通过MATLAB语言由浅入深的介绍了控制系统的仿真(Original algorithm and brilliant examples MATLAB language through easy-to-digest introduced control system simulation)
- 2008-12-08 10:32:08下载
- 积分:1
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1
说明: 计算矩阵各点之间的距离,并选取合适的点,适用于大型矩阵的计算(Calculate the distance between the points of the matrix)
- 2020-06-19 19:20:02下载
- 积分:1
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Scripts
Some of the files model satellite formation for a leader and follower configuration while others relate direction cosine transformation for 3-1-3 rotation
- 2013-07-21 03:45:22下载
- 积分:1
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LMS
LMS算法的MATLAB实现以及实例,显示输出序列(LMS algorithm and example MATLAB implementation, show that the output sequence)
- 2010-05-16 13:52:50下载
- 积分:1
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sttc
空时格码(STTC)的仿真,包含多种情况,仿真后可得图像(Space-time trellis codes (STTC) simulation)
- 2020-06-29 04:20:02下载
- 积分:1
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NFEA
张量分解提取生物学特征,NFEA: Tensor Toolbox for Feature
Extraction and Applications(
Data in modern applications such as BCI based on EEG signals often contain multi-modes due to
mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials,
epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and
analysis, dimensionality of the data could be augmented due to expression of the data into sparse
domain (time-frequency representation) by different transforms such as STFT, wavelets. That means
data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze
such data by considering them as vectors or matrices might be not suitable due to risk of losing the
covariance information among various modes. To discover hidden multilinear structures, features
within the data, the analysis tools should reflect the multi-dimensional structure of the data)
- 2020-07-21 16:48:45下载
- 积分:1