短期负荷预测

On-Line Digit Recognition using Off-Line Features

CDMA通过gold7和gold31来进行编码。并比较不同编码下的CDMA的性能(cdma performance via different length of gold encode )

说明：  通过simulink仿真模拟不同光照强度下的光伏模块串后的光伏特性，可以进行局部阴影下的光伏发电MPPT模拟仿真，仿真结果为多峰值形式，符合文献中规律特点，结果可导入工作空间，利用MATLAB进行绘图。(Through Simulink simulation, the photovoltaic characteristics of photovoltaic modules in series under different light intensity can be simulated, and the MPPT simulation of photovoltaic power generation under local shadow can be carried out. The simulation results are in the form of multi peak, which conform to the characteristics of the literature. The results can be imported into the workspace and drawn by MATLAB.)

extreme learning machine 例子 run satimage_mean(extreme learning machine examples run satimage_mean)

介绍matlab中simulink仿真工具的使用以及类别，如何搭建kalman滤波的仿真框图(Matlab simulink simulation tools introduced in the use and type, how to build the simulation block diagram of the kalman filter)

说明：  Language 求已知数据点的拉格朗日插值多项式 Atken 求已知数据点的艾特肯插值多项式 Newton 求已知数据点的均差形式的牛顿插值多项式 Newtonforward 求已知数据点的前向牛顿差分插值多项式 Newtonback 求已知数据点的后向牛顿差分插值多项式 Gauss 求已知数据点的高斯插值多项式 Hermite 求已知数据点的埃尔米特插值多项式 SubHermite 求已知数据点的分段三次埃尔米特插值多项式及其插值点处的值 SecSample 求已知数据点的二次样条插值多项式及其插值点处的值 ThrSample1 求已知数据点的第一类三次样条插值多项式及其插值点处的值 ThrSample2 求已知数据点的第二类三次样条插值多项式及其插值点处的值 ThrSample3 求已知数据点的第三类三次样条插值多项式及其插值点处的值 BSample 求已知数据点的第一类B样条的插值 DCS 用倒差商算法求已知数据点的有理分式形式的插值分式 Neville 用Neville算法求已知数据点的有理分式形式的插值分式 FCZ 用倒差商算法求已知数据点的有理分式形式的插值分式 DL 用双线性插值求已知点的插值 DTL 用二元三点拉格朗日插值求已知点的插值 DH 用分片双三次埃尔米特插值求插值点的z坐标 (chazhi)

说明：  a common use of fourier transforms is to find the frequency components

资料中包含波达方向估计的一种常用方法，包括一维MUSIC和二维MUSIC，可以有效的估计出多个信号方向。(A common method of data contained in the DOA estimates, including one-dimensional and two-dimensional MUSIC MUSIC, can effectively estimate multiple signal direction.)

利用lms自适应滤波器原理，实现波束形成。 波束形成器的零干扰容量随着迭代次数和干扰目标信号比的增大而改善。(Lms adaptive filter using the principle to achieve beamforming. Beamformer with the zero-interference capacity of the number of iterations and the target signal interference ratio increased to improve.)

This simple Matlab function simulates a innovative algorithm for narrow band interference mitigation for wireless communications, esp for satellite comm. The algorithm looks similar to LMS, but error is non-linearly transformed. It works well and a hardware demonstration was successfully fulfilled on Altera FPGA development platform. More details on algorithm refers to "Nonlinear Techniques for Interference Suppression in Spread Spectrum Systems" by R. Vijayan.