无偏灰色预测模型的实现，直接改数据即可运行

测量的磁滞回线数据使用matlab拟合的方法(The measured hysteresis loop data is matlab-fitted)

simple network animator using matlab

Implementation adaptive filter based lms algorithm

峰值检测和ca—cfar相结合的检测器的matlab仿真(Peak detection and ca-cfar combined detector matlab simulation)

说明：  针对低信噪比环境下基于能零比的端点检测方法准确率低的问题,提出了一种结合谱减法和短时零熵法的端点检测方法。首先通过功率谱减法对带噪语音进行降噪处理,然后结合短时平均过零率特征与谱熵特征,构造出一种新的语音参数,即短时零熵,最后运用双门限算法进行端点检测。实验结果表明该方法在复杂噪声环境下具有良好的端点检测性能,降低了检测的误判率。(To solve the problem of low accuracy of endpoint detection method based on energy zero ratio in low SNR environment, an endpoint detection method combining spectral subtraction and Short-term zero entropy method is proposed. Firstly, the noise is reduced by power spectrum subtraction, then a new speech parameter, short-time zero entropy, is constructed by combining the short-time average zero crossing rate and spectral entropy. Finally, the double threshold algorithm is used for endpoint detection. The experimental results show that this method has good performance of endpoint detection in complex noise environment, and reduces the rate of detection error.)

S_DBWEbapplication 实例 作为例子参考 讲解演示器作用(S_DBWEbapplication instance as an example to explain the reference to the role of presenter)

BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm. The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).(Backpropagation neural network with one hidden layer for multivariate calibration. (Designed to model only one response y at a time) )

用于数学建模，评价类模型，层次分析法的代码(For mathematical modeling, evaluation class model, AHP code)

用matlab求空气动力学中斜激波的各项参数的程序(Seeking aerodynamic parameters oblique shock with matlab program)

频率估计的根MUSIC方法.y ->数据向量 n -> 模型阶数 m -> 矩阵阶数 w <- 频率谱估计(The Root MUSIC method for frequency estimation.)