intelligent-control

主要功能作用電腦做錄音跟放音的功能適合初學者學習(Primary function of the role of the computer to do recording with playback function for beginners to learn)

matlab 但是防守对方似懂非懂是发生的发生地(matlab but the defense is the other occurrence took place Sidongfeidong)

这是一个产生混沌时间序列Duffing2吸引子的程序(Duffing2)

说明：  用MATLAB来得到一个理想的OFDM信号PAPR的CCDF。(With MATLAB to get a good PAPR of OFDM signal CCDF.)

阵列信号处理，宽带波达方向估计，经典聚焦算法，RSS(Array signal processing, broadband DOA estimation, classical focusing algorithm, RSS)

有关MATLAB的30个案例分析，感觉挺有用的可以看一下(There is a MATLAB neural network analysis of 30 cases, I feel more useful to look at)

系统后件参数识别，智能控制理论课后作业题解(System parameter identification, intelligent control theory homework problem solutions)

TOA定位算法，代码无错误，根据站点信息，闪电位置计算出接受信息，然后加误差反演出数据(TOA for matlab)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

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