svm

产生BCH码多项式，其中码字长度为N，消息长度为K(BCH code generated polynomial, which codeword length N, message length K)

Optimization of a Suspension System nice code hope u gonna like it

这是一个MATLAB与其它工具结合使用的贴子包，通过该贴子可以方便的找到MATLAB与各种其他工具的配合使用方法，简单实用。(This is a combination of MATLAB and other tools used in post package, through the post can easily find the MATLAB and with a variety of other tools to use, simple and practical.)

是学习PCA特征提取的很好的学习资料，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，最大似然（ML）准则和最大后验概率（MAP）准则。( Is a good learning materials to learn PCA feature extraction, ofdm system simulation including 16qam modulation fft windowing modules plus cp, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.)

RSSI算法是指根据无线传感器接受到（目标物体）的信号指示强度，计算该信号在传播中的损耗，根据理论或者经验的信号传播模型将信号强度转换成距离。但是这种算法很容易受到天气，障碍物或人员流动的影响，导致测距不精确，从而定位精度不高。但是由于RSSI算法简单，成本低廉，很多无线通信模块提供RSSI值，所以RSSI算法依然应用在众多领域中。(RSSI algorithm is based on wireless sensor to receive the signal intensity (objects), calculate the signal in the transmission loss, according to the experience of the theory or the signal propagation model will be converted into a distance of signal strength.But this algorithm is very vulnerable to weather, obstacles or the influence of the flow of people, lead to range is not accurate, thus positioning accuracy is not high.But because the RSSI algorithm is simple, low cost, a lot of wireless communication module provides RSSI values, so the RSSI algorithm is used in many fields.)

FCM fuzzy C-MEAns in MATLABn

元胞自动机的matlab范例程序，适合搞科研的的同学哈(Cellular automata matlab example programs for students engaged in research ha)

模式识别最大最小距离算法实现，matlab实现的，可以直接运行(Pattern recognition of maximum and minimum distance algorithm to achieve the Matlab)

基于IGBT的T型三电平逆变器在不同工况下的损耗计算，改变输入参数，即可获得相应结果。(matlab mfile，used to the power loss calculation of T-type three level IGBT inverter bridge under different situation)

经典功率谱估计的matlab代码，包括周期图法，ＢＴ法和Welch法，便于对经典功率谱估计性能的理解。(Classical power spectrum estimation matlab code, including Periodogram, BT France, and Welch law, to facilitate the performance of classical power spectrum estimation understanding.)