MATLABGUI

matlab程序将传递函数通过Z变换使其离散化，然后再把得到的脉冲传递函数改写成差分方程。便于接下来一步的C程序编程。(matlab program will transfer function Z-transform them through discrete, then put the resulting pulse transfer function of a differential equation rewritten. Facilitate the next step of the C programming.)

单核处理多特征融合(matlab实现——有数据提供）(Single-core processing multi-feature fusion)

最优化中的一种方法，amijo方法，该方法很典型，(Optimization of a method, amijo method, which is typical,)

matlab中的FFT使用范例，非常经典(FFT in matlab usage examples, very classic)

使用基于约束的化学计量模型进行代谢通量可变性分析的例程(The use of constraint-based stoichiometric model of metabolic flux variability analysis routines)

一个非常好的时间序列工具箱，详细使用说明见P. M. T. Broersen, Automatic Spectral Analysis with Time Series Models, IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 2, April 2002, pp. 211-216. (a very good time series toolbox, detailed description of the use of P. T. M. Broersen. Automatic Spectral Analysis with Time Series M odels. IEEE Transactions on Instrumentation and Meas urement, Vol. 51, No. 2, April 2002, pp. 211-216.)

Fitzgibbon, Pilu, Fisher: Direct Least Squares Fitting of Ellipses (Fitzgibbon, Pilu, Fisher : Direct Least Squares Fitting of Ellipses)

处理由采集卡采到的加速度传感器测得的信号，并分析其在0-1000Hz的频谱幅值并绘制频谱图(Processed by the acquisition card taken to the measured acceleration sensor signal, and to analyze the spectrum of the 0-1000Hz and draw the amplitude spectrum)

matlab十大算法程序压缩，用于数学建模同学或者爱好MATLAB同学借鉴(Ten compression algorithm matlab program for the students to mathematical modeling, or MATLAB-loving students learn)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)