RLS

The example included here is a simple temperature conversion module that takes user-supplied temperature values specified in either degrees Fahrenheit or degrees Celsius and converts them to the other scale. The example demonstrates how to use the MATLAB® Builder™ JA API to handle temperatures in various different formats (scalars, matrices, cell arrays, and structs).

Addition of AWGN noise using matlab function

This function could deblurr an image with median filter

高频雷达目标检测单元平均恒虚警方法（仿真数据）(The average high-frequency radar target detection unit constant false Police Act (simulation data))

里面是一个地震射线追踪的源码程序，还有相关的文档，适合学习地球物理专业的学生。(Inside is a seismic source ray tracing program, as well as related documentation for learning geophysics majors.)

Effect of Frequency offset on OFDM

特征向量分析。LDA和PCA的matlab程序，有测试结果，很有用(Eigenvector analysis. LDA and PCA in the matlab program, have test results that are useful)

说明：  这里面包括近百个matlab常用函数的例程，是学习matlab的好帮手。(This includes nearly one hundred matlab routines of commonly used functions, a good helper to learn matlab.)

杨启帆数学建模案例集，包括各种数学建模算法的实例，解法和解决方案，有例子，有解析(Qi-Fan Yang case sets of mathematical modeling, including mathematical modeling algorithm examples, solutions and solutions with examples, there are analytical)

Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.