SDPT3-4.0-beta

有限时域差分源程序，边界条件为各向异性完全匹配层（Upml）(FDTD source, boundary conditions for the anisotropic perfectly matched layer (Upml))

用matlab分析bPSK和qpsk的误码率，其中有psk信号的调制与解调(psk)

基于时间序列的相空间重构算法，根据参数构造出相空间矩阵。(Based on time series phase space reconstruction algorithm, according to the parameters of the phase space matrix is ??constructed.)

matlab 实现频率合成,频率调制功能代码,测试通过,其中基本波形需自己制作.(matlab achieve frequency synthesis, frequency modulation function code, the test is passed, which need to produce their own basic waveform.)

Conjugate gradient method

基 于 小 波 变 换 的 信 号 去 噪 研究 算 法 (Signal denoising based on wavelet transform algorithm research )

信号检测理论——线性调频信号的匹配滤波处理(Signal detection theory- matched filtering LFM)

该程序用于计算n根平行导线间的串扰,程序结构及说明见程序内。源可以是单频的或脉冲的（这里给出的是频域的）。频率、波形、线长、电源及负载阻抗均可在用MATLAB编写的语句中方便地修改。但必须输入导线系统每单位长度的电感、电容矩阵。(The procedure used to calculate n root of crosstalk between parallel wires, program structure and description of process. Source can be single frequency or pulse (here is given by the frequency domain). Frequency, waveform, the line is long, power and load impedance can be found in the use of MATLAB statements prepared easily modified. However, the system must enter a wire per unit length inductance, capacitance matrix.)

基于FFT的功率谱分析程序设计与应用 2）对实验所采集的转子振动信号进行频谱分析 2．讨论： 1) 信号经过均值化处理或不经过均值化处理的结果比较 2）采用不同窗函数时的谱结果（矩形窗函数, 汉宁窗函数，汉明窗） 3）典型函数的频谱（矩形窗函数, 汉宁窗函数，直线，阶跃函数，δ函数，方波，三角波等） 4）整周期和非整周期采样时两者的比较 5）讨论实验结果 (Based on the FFT power spectrum analysis of program design and Application2) on experimental collection of the rotor vibration signal spectrum analysis2 discussion:1) the signal through the mean treatment or not after a mean treatment results comparison2) using different window function spectral results ( rectangle window, Hanning window function, the Hamming window )3) the typical functions of spectrum ( rectangle window, Hanning window function, linear, step function, function, square wave, triangular wave)4) the whole cycle and non-integer-period sampling time comparison5) discussion of experimental results)

采用bp神经网络对函数y=sin（x）进行训练，然后用测试集对训练的函数进行测试，也就是函数逼近sin（x)的曲线(Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve)