The-principal-component-analysis

关于matlab的方面的一些源代码。可以实现多项式函数计算，插值计算，和傅里叶变换，等等(Some aspects on the matlab source code. Polynomial function can calculate, interpolation, and Fourier transform, and so on)

A Brief Introduction to Operating Systems by Allen B.Downey

computation of ybus in ieee 39 bus

Settles an invoice time of reverberation. A test signal - white noise. The analysis to be made through 1/3 octava filters. Time of record of a signal of white noise 1 second. Duration of the analysis of process of reverberation 1 second. Time of transients which arise during reverberation is considered.

阵列信号处理常用的MUSIC算法，包括经典MUSIC，求根MUSIC，基于四阶累积量的MUSIC等(MUSIC usual array signal processing algorithms, including the classic MUSIC, Root MUSIC, based on fourth-order cumulant MUSIC etc.)

桌面小波周期分析桌面\小波周期桌面小波周期分析分析(Desktop wavelet cycle analysis Desktop wavelet cycle Desktop wavelet cycle analysis the analysis)

综述了光纤光栅传感器近年来在工程结构健康监测、石油产业、电力行业、岩土工程、航空航天、采矿、爆破、交通及 医学等各个领域的应用情况。文章认为，限制光纤光栅传感器产业化和大规模应用的主要因素是缺乏统一的设计理论 和制作方法，这使得不同厂家生产的传感器规格存在差异。另外，由于复杂的生产技术和精细的生产过程使传感器生产 成本较高，而且能实际应用的光纤光栅传感器的解调产品并不多，且价格很高。根据上述分析，文中对该项技术未来的 发展方向提出了展望。(Overview of FBG sensors in recent years in various fields of engineering structural health monitoring, oil industry, power industry, geotechnical engineering, aerospace, mining, blasting, transportation and medical and other applications. Article that the main factor limiting FBG sensors and large-scale industrial applications is the lack of a unified design theory and production methods, which makes the sensors from different manufacturers specifications differ. In addition, due to the complexity of the production technology and sophisticated production process so that the sensor higher production costs, but also the practical application of fiber grating sensor product is not much, and the price is very high. Based on the above analysis, the article on the future direction of the technology raised the prospect.)

1.n个节点分段Lagrange插值多项式； 2.使用格式y=lagrange(x0,y0,x,k)； 3.输入项x0为n维插值节点向量，y0为n维被插函数值向量； 4.x为m维插值点向量，k为分段插值多项式次数，不超过3，缺省为k=1； 5.输出y为插值点x处的函数值；( 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0, x, k) 3. Input x0 of interpolation nodes for the n-dimensional vector, y0 for n-dimensional vector function to be inserted 4.x interpolation points for the m-dimensional vector, k is the number of sub-polynomial interpolation, not more than 3, the default for k = 1 5. output y for the interpolation points x Department of function )

灰色预测模型的代码,很简洁，很有用。大家只用打开改一下就可以了(Gray prediction model code, very simple, very useful. We only change it can be used to open a)

Curve Fitting With Matlab