adaptive

说明：  观察高斯序列 的时域和幅频特性。 ①固定p=8，q分别等于2、4、8，观察它们的时域和幅频特性，了解当q取不同值时，对信号序列的时域和幅频特性的影响 ②固定q=8，p分别等于8、13、14，观察p变化对信号序列时域和幅频特性的影响，注意p等于多少时，会发生明显的泄露现象，混叠是否也随之出现？记录实验中观察到得现象，绘出相应的时域序列和幅频特性曲线(Observed Gaussian sequence in time domain and amplitude-frequency characteristics. ① fixed p = 8, q is equal to 2,4,8 respectively, to observe them in time domain and amplitude-frequency characteristics, to understand when the different values of q, the signal sequence in time domain and amplitude-frequency characteristics of ② fixed q = 8 , p is equal to 8,13,14 respectively, to observe the changes in the signal sequence p in time domain and amplitude-frequency characteristics, note that p is equal to the number when the apparent leakage phenomenon, aliasing is also gone? Records of the experiment was observed phenomenon, draw the corresponding time-domain sequence and amplitude-frequency characteristic curves)

利用自适应抵消法提高声矢量圆阵的稳健性，本例得到输出信干噪比随输入信噪比的变化曲线。(Using adaptive method to improve the acoustic vector offset circular array of robustness, in this case to obtain an output SINR curve with the input signal to noise ratio.)

rt logic floue mppt po psoo and mp

线阵的两种数字波束形成的MATLAB程序，固定权值的，添加了汉明窗以抑制旁瓣。(Linear array of two kinds of digital beamforming in MATLAB program, a fixed weight, and added a Hamming window to suppress sidelobe.)

基于数字滤波平方率的符号定时恢复算法。输入参数：RtfSig过采样的待恢复信号，信号中的N符号总数，dS升采样率，N_T升余弦滚降滤波器系数(A timing recovery algorithm based on the sign of the digital filtering of the square. Input parameters: RtfSig be over-sampled signal recovery, the total number of N-symbol signal, the sampling rate dS l, N_T raised cosine filter coefficients)

Evaluate the multi-variate density with mean vector m and covariance matrix C for the input vector x.

To calculate the maximum displacement in Cantilever beam. Using finite element method.

快速谱峭度工具箱，由法国人Antoni编写(Fast spectral kurtosis toolbox, written by French Antoni)

Tool for compress and decompress for image, using differential coding prediction

or a thorough description of the norms, see the Chapter 4 of Robust and Optimal Control, Zhou, Glover, Doyle 1996. Here the point is to give some lines of code illustrating what are the H2 and Hinf norms of LTI systems. In that sense, it is also illustrated that the H2 norm is smooth in the space of the system parameters, whereas the Hinf norm is non-smooth locally Lipschitz (since it is a min-max problem, thus prone to the waterbed effect ).