PCA_GS_SOR

很好很实用的matlab工程函数：插值与拟合，代数方程解法，微分方程解法，优化以及综合实验(Matlab works well very useful functions: interpolation and fitting, solution of algebraic equations, differential equation, optimization, and comprehensive experimental)

PID控制算法中，根据一节延迟传递函数的放大倍数K、延迟时间L和时间常数T，获得PID中比例环节、微分环节和积分环节的参数(PID control algorithm, according to a delay in the transfer function of magnification K, the delay time L and time constant T, to obtain the proportion of PID in the link, differential and integral link in the parameters of link)

线性预测在MATLAB中的实现，非常具有参考价值的文档(Linear prediction in the MATLAB implementation of the document is a reference value)

Keyboard-controlled interactive power spectrum demonstrator, useful for teaching and learning about the power spectra of different types of signals and the effect of signal duration and sampling rate. Single keystrokes allow you to select the type of signal (12 different signals included), the total duration of the signal, the sampling rate, and the global variables f1 and f2 which are used in different ways in the different signals. When the Enter key is pressed, the signal (y) is sent to the Windows WAVE audio device. Press K to see a list of all the keyboard commands. T. C. O Haver

AM modulator system simulated im MATLAB

很实用的教程，和大家一起分享，内含多所高校数学建模培训内容(Very useful tutorial to share with everyone, many colleges and universities included mathematical modeling training)

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.

根据实验数据设计K 均值聚类分析分类器。(Classification is based on experimental data analysis design K-means clustering.)

基于3GPP标准的信道编码turbo码的simulink仿真文件。(Simulink simulation files based on the 3GPP standard channel coding turbo codes.)

一个四维状态、二维观测的目标跟踪扩展卡尔曼滤波程序，附有详细的说明。(a four-state, two-dimensional observation of the target tracking extended Kalman filtering process, with detailed explanations.)