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Fractals
基于小波变换的分形学，对于小波分形学领域有较大的参考价值。(Fractal Analysis Based on Wavelet)
- 2009-02-26 10:28:59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
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Power-spectrum-estimation
功率谱估计的各种方法的matlab代码
包括AR模型，ESPRIT,周期图谱，MUSIC，PISARENKO等方法(Power spectrum estimation method matlab code, including the method of AR model, ESPRIT, the cycle map, the MUSIC, PISARENKO etc.)
- 2012-05-29 19:50:44下载
- 积分：1
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differential_entropy_kl
this file compute lagg on arrays
- 2012-06-14 16:27:30下载
- 积分：1
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radar
分析雷达信号方向基于四阶累积量的MUSIC算法可以实现阵列扩展,提高了DOA估计精度、分辨率,降低阵列信号处理对信噪比的要求。(Analysis of radar signal direction of MUSIC algorithm based on fourth-order cumulants can realize array extension, improve the DOA estimation precision, resolution, reduce the requirement of array signal processing of signal to noise ratio.)
- 2015-01-08 16:46:35下载
- 积分：1
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timingsyn_cfo
用SCA算法实现时间同步和载波频率偏移。载波频率偏移通过训练序列实现(SCA algorithm with time synchronization and carrier frequency offset. Carrier frequency offset achieved by training sequence)
- 2010-07-14 15:48:26下载
- 积分：1
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mapping_sequence
将带发送数据序列映射为格雷码，相邻的码元只有一个符号不同。(mapping the deta serial into GeLei code,whose closed code only one symbol is different)
- 2020-10-26 09:20:00下载
- 积分：1
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4
说明： 无线传感网络节点定位算法的研究，使用chan算法(Wireless sensor node localization algorithm, the use of chan algorithm)
- 2010-12-04 15:17:17下载
- 积分：1
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anisotropic
各向异性图像特征提取、1-d，2-d，3-d均有(anisotropic Image feature extraction)
- 2012-04-15 20:17:19下载
- 积分：1
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PSO BP wind power
说明： 粒子群结合神经网络智能算法优化最值问题。(And the output of the fan is tracked and predicted in real time based on the wind power prediction of the PSO algorithm.)
- 2020-07-02 10:20:02下载
- 积分：1
