Nouveau-dossier

该程序描述含噪语音信号的处理过程，MATLAB编程。(The program describes the noisy speech signal processing, MATLAB programming.)

近红外光谱分析中的BP模型建立过程，其中在原有BP神经网络模型的基础上自己编程加入了近红外模型验证系数的计算，如R-SquareC.R-SquareP,RMSEC,RMSEP,RSD等。并加入循环语句，设定区间程序可以自动运行并判断最佳隐含层结点数，最佳学习速率，动量因子，训练次数等，同时加入一个验证校正模型实例。(The process of BP model in near infrared spectrum analysis, including the original BP neural network model on the basis of their programming joined the nir model validation coefficient calculation, such as R- SquareC. R- SquareP, RMSEC, RMSEP, RSD, etc. And join the loop statement, set interval program can be run automatically and determine the best hidden layer nodes, the optimal learning rate, momentum factor, the number of training, etc. )

关于等波纹滤波器设计的文档，其中包括三种图形，脉冲响应，对数幅频特性，通带阻带波纹。(Corrugated filter design documentation on and so on, which includes three graphics, impulse response, logarithmic amplitude-frequency characteristics, the stopband passband ripple.)

对ARMA 模型进行建模，在使用whittle estimator 的情况下(modeling arma)

This book is about some examples of simulating DSP with Matlab

ofdm_cp_insertion add/remove CP

这是有关MATLAB在电子信息中的应用程序，包括信号的表示，求解零输入分量、信号的频谱分析和滤波，求解线性系统的冲击函数和卷积，程序简单，适合初学ATLAB的同学。(It is about MATLAB applications in electronic information, including the representation of the signal, solving zero input component, spectral analysis and filtering the signal, impulse function and convolution solving linear systems, the program is simple, suitable for beginners ATLAB classmates.)

合成孔径雷达SAR图像成像中多普勒中心检测的六种算法，使用matlab编程(synthetic aperture radar images Doppler imaging centers in the six detection algorithm, the use of Matlab programming)

三相桥式可控整流电路的MATLAB仿真,非常详细适合初学者(MATLAB simulation of three-phase bridge controlled rectifier circuit, very detailed for beginners)

对图像进行逐点计算，并且取最大值和最小值的差值作为该点新的灰度值。 在区别边缘点和非边缘点时，首先确定一个阈值T，若图像中像素点的新 值大于该门限值，则可以初步确定为边缘点，小于T的新值被判断为非边缘点.(Image point by point basis, and taking the maximum and minimum points of difference as the new gray value. Edge in the difference between point and non-edge point, first determine a threshold T, if the image of the new pixel value is greater than the threshold, you can initially identified as the edge point, the new value is less than T have been judged as non-edge point.)