Perceptron

ex5_1 I-型线性相位FIR滤波器 ex5_2 II-型线性相位FIR滤波器 ex5_3 III-型线性相位FIR滤波器 ex5_4 IV-型线性相位FIR滤波器 ex5_5 矩形窗频响 ex5_6 希尔伯特变换器设计－汉宁窗 ex5_7 低通滤波器设计－汉明窗 ex5_8 带通滤波器设计－布莱克曼窗 ex5_9 低通滤波器设计－凯塞窗 ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 ex5_13 频率采样技术：带通, 最优法T1 & T2 ex5_14 频率采样技术：高通, 最优法T1 ex5_15 频率采样技术：差分器 ex5_16 频率采样技术： 希尔伯特变换器 ex5_17 利用Parks-McClella算法设计低通滤波器 ex5_18 用PM算法进行的带通滤波器设计 ex5_19 用PM算法进行的高通滤波器设计 ex5_20 用PM算法进行的阶梯滤波器设计 ex5_21 用PM算法进行的差分器设计 ex5_22 用PM算法进行的希尔伯特变换器设计(ex5_1 I-type linear phase FIR filter ex5_2 II-type linear phase FIR filter ex5_3 III-type linear phase FIR filter ex5_4 IV-type linear phase FIR filter rectangular window frequency response ex5_5 Hilbert ex5_6 converter design- Hanning window low-pass filter design ex5_7- Hamming window ex5_8 bandpass filter design- Blackman window ex5_9 low-pass filter design- Kaiser window ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2 sampling frequency ex5_13: band-pass, optimal method T1 & T2 ex5_14 sampling frequency: high-pass, optimal method T1 sampling frequency ex5_15: differentiator sampling frequency ex5_16: Hilbert converter Parks-McClella use ex5_17 algorithm design low-pass filter PM algorithm ex5_18 with the band-pass filter design PM algorithm ex5_19 with the high-pass filter design PM algorithm used ex5_20 ladder filter design PM algorithm used ex5_21 differential design PM al)

扩展卡尔满滤波算饭与无味滤波算法的比较 结果是无味滤波略微胜出(EKFvsUKF)

Derivative-based Optimization using The Gradient Descent

ex9－8 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 (ex9-8 related to the lognormal distribution weibull distribution clutter clutter ex9_8 related ex9_9 coherent K distributed clutter-related)

Fiber PML simulation with matlab

MinkowskiMethod算法 ,有较好的参考价值，小波包分析提取振动信号中的特征频率。( MinkowskiMethod algorithm, There are good reference value, Wavelet packet analysis to extract vibration signal characteristic frequency.)

非常全面的灵敏度分析讲解以及灵敏度检验案例(Very comprehensive explanation of sensitivity analysis and sensitivity test cases)

THE ABOVE PROGRAM IS A GUI FOR SUPER RESOLUTION TECHNIQUE.

介绍了系统辨识与自适应中的matlab程序，是学习系统辨识与自适应的好例子(Introduced a system identification and adaptive procedures in matlab)

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