filter1

自己设计的新型FFT算法，用MATLAB仿真通过，绝对好用的源码。可以发论文。包括了FFT经典算法和改进算法的c实现(Designed a new type of FFT algorithm, through the use of MATLAB simulation, the source is absolutely easy to use. Papers can be made. Includes the classic FFT algorithm and improved algorithm for the realization of c)

系统辨识与自适应控制程序 ，一个很小的.m文件(System identification and adaptive control procedure, a small. M file)

关于matlab编程的书，介绍了条件控制，循环语句，结构，对象，调试与计时等，适合初学者。(Matlab programming on the book, describes the condition of control loop, structure, object, debugging and timing, etc., suitable for beginners.)

基于matlab的FIR滤波器设计工具箱，及其使用说明。工具箱内具有超多优化工具：sdpt3/Sedumi等(FIR Filter Optimization Toolbox User s Guide Version 2.0)

计算信号的短时傅里叶变换。用法见函数说明。(Short-time Fourier transform calculation signals. Usage See function description.)

用matlab实现了容积卡尔曼滤波算法,并给出了仿真算例(Using matlab to achieve a volume of Kalman Filter)

说明：  电力系统模型，用Matlab/Simulink搭建(Power system Simulink model)

This program has evolved over time and uses programming

利用LMS算法仿真了各种线性预测滤波器,并证明的该算法效率很高,能节省硬件资源.(LMS algorithm simulation using a variety of linear predictive filter, and demonstrate the high efficiency of the algorithm. can save hardware resources.)

最小二乘回归法（PLSR：partial least squares regression)：是一种新型的多元统计数据分析方法，它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。(Least squares regression (PLSR: partial least squares regression): a new type of multivariate statistical data analysis methods, the main research is more dependent variable regression modeling of multi-argument, especially when highly linear within each variable When using partial least squares regression method is more effective. In addition, partial least squares regression better solution to the problem of the number of samples is less than the number of variables.)