负荷预测的应用研究

这是一个基于matlab编程的RussiaBlock，可以很好的学到matlab的知识，又具有娱乐性(This is a well Matlab programming RussiaBlock, learn matlab' s knowledge, but also entertaining)

说明：  双线性内插,图像放大缩小，简单容易学，好理解，上手快(Bilinear interpolation, image zoom, simple and easy to learn, easy to understand, quick)

ADC动态参数测试的matlab程序，可以测试DNL，INL，ENOB，SFDR等(ADC dynamic parameter test matlab program, you can test DNL, ​ ​ INL, ENOB, SFDR, etc.)

用MUSIC算法+均匀锥面阵进行信号的DOA估计(With the MUSIC algorithm+ uniform cone array for signal estimation of DOA)

KNN Classification Code Matlab

高阶统计量的基础学习资料，包括高阶统计量在信号处理方面的一些应用(High order statistics based learning materials, including high order statistics in signal processing some of the application)

对目标进行识别，采用直方图的方法，结合matlab和c语言(Target identification, using the histogram method, combined with matlab and c language)

这是个Matlab的学习的好帮手，里面有许多有用的小东西，很适合初学者。(This is a good helper to learn Matlab, which has many useful little things, it is suitable for beginners.)

原版matlab bpsk信号的调制解调，可显示发送数据的波形，调制后的波形，接收波形，误码情况等(Original matlab bpsk signal modulation and demodulation, send data to display the waveform, the modulated waveform received waveform, error conditions, etc.)

有限差分方法（网格法）是最早使用的一种电磁场数 值计算方法。 边值问题 物理思想：场域离散。 （连续区域→网格和节点） 数学基础：差分原理。 （微商→差商） 线性代数方程组 §6-3 有限差分方法 作为数值计算方法，有限差分法将连续场域的问题变换 为离散系统的问题（连续场域划分为若干个细小的区域：网 格和节点）。也就是说通过离散化模型上各离散点的数值解 来逼近连续场域内的真实解。(The finite difference method (grid method) is the earliest use of an electromagnetic field the number of Value method. Boundary Value Problems Physical idea: the field of discrete. (Contiguous area → grid nodes) Mathematical foundations: the difference principle. (The Derivative → difference quotient) Linear algebraic equations. § 6-3 Finite Difference Method Numerical methods, finite difference method will transform the problem of the continuous field For discrete systems (continuous field is divided into several small areas: network Grid nodes). That is, the value of the discrete points in the discrete model solution To approximate the true solution of the continuous field domain.)