BuckConverter

一本很好的学习MATLAB的参考书,供初学者利用.(A good learning MATLAB reference books for beginners to use.)

说明：  马尔可夫链可被应用于蒙特卡罗方法中，形成马尔可夫链蒙特卡罗（Markov Chain Monte Carlo, MCMC） ，也被用于动力系统、化学反应、排队论、市场行为和信息检索的数学建模。(Markov Chain Monte Carlo, MCMC)

KalmanFilter 递归程序，非常经典(KalmanFilter recursive procedures, very classic)

Geometrical Image transformation with NN and linear interpolation

equivalant circuit of induction motor

说明：  高通滤波器，带通滤波器，数字FIR滤波器(The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication". Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet. )

comfac算法是三线性模型常见的数据检测方法。它首先将三线性数据通过tucker3模型压缩，然后通过最小二乘的方法不断更新数据，直到收敛，得到估计值( The algorithm works by first compressing the data using a Tucker3 models. Subsequently the PARAFAC model is fitted to the compressed array, either initialized with DTLD (~ESPRIT) or with PARAFAC-ALS. The solution is de-compressed to the original space, and a few safe-guard PARAFAC-ALS steps are performed. Further optimization of this algorithm is possible, e.g. if the data are very large, if the profiles are very correlated or if the noise is huge. This 、 has not been pursued here, in order to have a generally applicable algorithm)

一个用MATLAB编写的关于元胞自动机的奇偶规则的小程序(Using MATLAB on a cellular automaton rule applet parity)

伪随机序列产生器源代码(Pseudo-random sequence generator source code)

系统辨识课上做的利用相关分析法辨识脉冲响应的实验。包括用M序列生成白噪声，计算互相关函数得到脉冲响应估计值等等，比较基础(Experiment about Identifying the pulse response with a method of correlative analysis in my class on system identification. It contains using M-sequence to generate white noise, bu calculating cross-correlation function to get impulse response estimates ect.)