lietan

实现信号处理的一个例子，对于学习资源的同学很有用(realize voice control,it is good for you!!)

dfa acceptor for compiler course....

LDPC仿真程序,采用log-BP算法 (LDPC simulation program using the log-BP algorithm)

说明：  matlab振动试验数据分析，信号获取：测量获取设备的信号（振动、转速、过程参等）。信号分析：从信号中提取反映设备运行状态和故障的特征值。故障诊断：根据信号特征信息，对故障进行诊断（专家诊断、智能自动诊断）和预测(Matlab vibration test data analysis, signal acquisition: Measurement and acquisition of equipment signals (vibration, speed, process parameters, etc.). Signal analysis: extract the characteristic value of equipment running state and fault from the signal. Fault diagnosis: fault diagnosis (expert diagnosis, intelligent automatic diagnosis) and prediction according to signal characteristic information)

潮汐调和分析 利用t-tide程序对实测数据资料进行的潮位调和分析 求出调和常数(Tidal harmonic analysis procedure using t-tide data for the measured harmonic analysis of tidal harmonic constants obtained)

说明：  该文文件显示了隐函数立体图的matlab使用方法。(it s about the technique of implicit functions diagram.)

利用matlab工具，实现了计算数值计算中的不动点法的程序解法(put the one way of fixed dot method of compute canculating into practice with the tool of MATLAB)

太阳能光伏阵列的matlab simulink 仿真 不带mppt功能(Matlab simulink simulation of solar photovoltaic array function without mppt)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

当计算混沌系统Lyapunov指数时，gs.m代码实现正交化 直接运行L2.m，可计算出Lyapunov指数（该代码是基于奇异值分解计算Lyapunov指数的） (chaotic system when calculating Lyapunov exponent, gs.m code directly Orthogonalization L2.m operation, translate into Lyapunov exponent (The code is based on the singular value decomposition Lyapunov exponent))