buck-boost

本程序是在不同荷载类型作用下，杆单元内力计算算例。(failed to translate)

许多重要的机械系统平稳运行机制下(负载),但许多观察到的症状在某种程度上取决于条件在系统负荷和/或环境条件。因此状态监测的一个了这类系统应该有一些可能的症状观察到一个标准的荷载工况。(Many critical mechanical systems operate in a non-stationary regime (load ), and many observed symptoms of its condition depend in a some way on a system load and/or environmental conditions. Hence the condition monitoring of a such systems ought to have some possibility of rescaling of observed symptoms to a standard load condition. This papershows such a possibility of a symptoms rescaling in application to multidimensional vibration condition monitoring. It is shown on some real example of vibration condition monitoring, that rescaling of symptoms can make more reliable theassessment of current system condition, as well as its prognosis.)

用matlab处理音频, 对一段音频加入噪声然后滤除噪声还原, 绘制过程中的频谱图(Matlab deal with audio, for adding some audio noise reduction and filter noise, rendering the process of spectrum)

自己做的： （一）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅰ型低通数字滤波器，其采样频率Fs =8KHz，1DB通带边界频率为fp=2KHz。 （二）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅱ型高通数字滤波器，其采样频率Fs =16KHz，阻带边界频率为fst =4KHz，As=20dB。 ((A) design using the bilinear transformation method and the experimental system of a third-order Chebyshev low-pass type Ⅰ digital filter, the sampling frequency Fs = 8KHz, 1DB passband boundary frequency is fp = 2KHz. (B) Bilinear transformation method used to design and use of the experimental system of a third-order Chebyshev type Ⅱ high-pass digital filter, the sampling frequency Fs = 16KHz, stopband boundary frequency fst = 4KHz, As = 20dB.)

step function using matlab

模式识别中的线性分类器的设计，包括感知机，最小二乘法和支撑矢量机的算法的MATLAB代码。(Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code. )

数字图像处理的基础知识，是冈萨雷斯的《数字图像处理》一书对应电子版(digital image processing)

LBP算法实现图像的纹理分类,很简单，很经典(LBP_algorithm_picture_tuxture_classify)

说明：  一个对RBF进行改进的程序，其中有演示的例子(1 pairs of RBF to improve procedures, including examples of presentation)

自适应粒子群优化更新算法，在MATLAB环境下仿真运行，程序代码能够正确运行。(A viable particle swarm optimization to update algorithm, MATLAB code to run correctly simulation, ease of use.)