TDTL_zero_order

基于Matlab的BP神经网络建模及仿真。将Matlab中的神经网络工具箱和Simulink有机结合起来，并充分利用它们各自的优势，实现了神经网络控制系统的计算机仿真。(Matlab based on the BP neural network modeling and simulation. The Matlab Neural Network Toolbox and Simulink combine and make full use of their respective advantages, the realization of a neural network control system of the computer simulation.)

matlab实验报告，包括聚类分析、判别分析、主成分分析、因子分析、典型相关分析的matlab实现与结果分析(Matlab experiment report, including cluster analysis, discriminant analysis, PCA, FA, CCA of matlab and the result analysis)

模拟信号的AM调制与解调，在simulink平台的仿真实现程序(Analog signal AM modulation and demodulation, simulation simulink platform to achieve the program)

matllab有限元函数求值程序关于3D四面体网格(a program library which evaluates a finite element function defined on a 3D tetrahedral mesh)

完成相关向量机的回归与分类的功能，采用经典例子(The relevance vector machine regression and classification)

声呐的时域波束形成，MATLAB语言编程实现(Time-domain beamforming, MATLAB programming language)

一连续平稳的随机信号x(t)，自相关函数RX(t)=e-/t/，信号x(t)为加性噪声所干扰，噪声是白噪声，测量值的离散值Z(k)为已知，TS=0.02s。 -3.2，-0.8，-14，-16，-17，-18，-3.3，-2.4， -18，-0.3，-0.4，-0.8，-19，-2.0，-1.2，-11，-14，-0.9，0.8，10，0.2，0.5，-0.5，2.4，-0.5，0.5，-13，0.5，10，-12，0.5，-0.6，-15，-0.7，15，0.5，-0.7，-2.0，-19，-17，-11，-14。 自编卡尔曼滤波递推程序，估计信号x(t)的波形。(A continuous stationary random signal x (t), the autocorrelation function RX (t) = e-/ t /, the signal x (t) is additive noise of the interference, noise is white noise, the measured value of the discrete values ​ ​ Z (k ) are known, TS = 0.02s. -3.2,-0.8,-14,-16,-17,-18,-3.3,-2.4,-18,-0.3,-0.4,-0.8,-19,-2.0,-1.2,-11,-14 ,-0.9,0.8,10,0.2,0.5,-0.5,2.4,-0.5,0.5,-13,0.5,10,-12,0.5,-0.6,-15,-0.7,15,0.5,-0.7,-2.0,-19,-17,-11,-14. Self Kalman filter recursive procedure, the estimated signal x (t) waveform.)

ofdm系统的源代码，非常有用。希望帮到大家(ofdm system source code, very useful. Hope to help everyone)

Bayes辨识程序，系统辨识中应用，比较不错，希望大家能用到(Bayes identification procedures, the application of system identification, comparison is true, I hope everyone can use to)

svmlight-2.51工具包，在matlab7.9.0（R2009b）环境下调试通过。里面包含了几个实用的例子可供参考。(svmlight-2.51 kit, in matlab7.9.0 (R2009b) environment through debugging. Which contains several practical examples for reference.)