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pipei
matlab单枝节阻抗匹配单枝节阻抗匹配单枝节阻抗匹配(One minor impedance matching matlab)
- 2013-11-20 21:51:08下载
- 积分：1
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Teach-to-read-image-by-matlab
说明： 我自己寫的matlab教學，給初學者更快上手。(Matlab write my own teaching, for beginners to get started quickly.)
- 2011-02-26 17:46:10下载
- 积分：1
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AnalgorithmusingtheSchurcomple-
LDPC(Low-density-parity-check，低密度奇偶校验)码是一类具有稀疏校验矩阵的线性分组码，不仅有逼近Shannon限的良好性能，而且译码复杂度较低，结构灵活，是近年信道编码领域的研究热点(LDPC (Low-density-parity-check, low-density parity check) codes are a class of sparse check matrix of linear block codes, is not only good performance approaching Shannon limit, and the decoding complexity low, flexible structure , the field of channel coding in recent years the research focus)
- 2010-08-31 10:15:06下载
- 积分：1
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GPC
提供了对象已知与未知的广义预测控制（GPC）算法，包含有单步与多部的Diophanine方程求解。(Provides object known and unknown generalized predictive control (GPC) algorithm, includeing single-step and multi-unit Diophanine equation.)
- 2013-08-27 19:14:36下载
- 积分：1
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detectFront
基于Opencv的视频序列前景检测模块，可以用来检测自动化目标跟踪的初始位置(Opencv based video sequences foreground detection module,can be used to detect the initial position in automated target tracking )
- 2014-02-18 14:02:50下载
- 积分：1
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Djuric---PF
数字信号处理中粒子滤波方法 (The Particle Filtering Methodology in Signal Processing)
- 2014-01-04 23:12:11下载
- 积分：1
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circonvolve.m
Computes the circular convolution of two functions.
- 2009-11-27 14:02:56下载
- 积分：1
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formant-detection-based-on-EMD
计算共振峰MATLAB代码,gong yu yinxin hao chu li de chu xue zhe shi yong(the formant calculate code)
- 2014-08-07 10:19:43下载
- 积分：1
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CSCE575_ProgrammingAssignment1_Oladiran
802.11 SIMULATION REPORT AND SOURCE CODE
- 2014-08-28 04:43:01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
