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用该进的粒子群优化算法来解决旅行商问题，即TSP问题（Traveling Salesman Problem）(Using the advanced PSO algorithm to solve TSP（Traveling Salesman Problem）)

用NIPALS算法实现的偏最小二乘法,包含测试文件，算法原理说明(With NIPALS algorithm of partial least squares)

这是一个matlab程序：实现二阶系统的超前滞后校正。(This is a matlab program: second-order system lead-lag correction.)

需将图形文件复制到D盘根目录，或修改程序中的相关文件的路径。 计算机运行可能会出现这样的警告：Warning: Function call WAVEDEC2 invokes inexact match F:Matlab oolboxwaveletwaveletwavedec2.m. > In Wnn0802 at 18 无妨，没关系的，不影响运算结果。(Need to copy files to the D graphics root directory, or modify the program in the path of the relevant documents. Computer running such a warning might appear: Warning: Function call WAVEDEC2 invokes inexact match F: Matlab toolbox wavelet wavelet wavedec2.m> In Wnn0802 at 18 anyway, it does not matter, does not affect the result of the operation.)

OFDM基带接收系统设计与FPGA实现.pdf OFDM调制与解调技术研究及其FPGA实现.caj 基于FPGA的OFDM系统接收机的设计与实现.caj 基于FPGA的OFDM通信系统基带研究与实现.caj 用于地铁的OFDM测距雷达的FPGA实现.pdf 跳频OFDM系统的设计与FPGA实现.caj(Research on OFDM modulation and demodulation technology and its FPGA implementation Design and implementation of OFDM system receiver based on FPGA Research and implementation of baseband of OFDM communication system based on FPGA FPGA implementation of OFDM ranging radar for Metro Design of frequency hopping OFDM system and implementation of FPGA)

说明：  基于LQR方法的风电机组变桨距控制的动态建模与仿真分析 模型搭建完成，功率跟踪效果良好(Dynamic modeling and simulation analysis of wind turbine pitch control based on LQR method The model is built and the power tracking effect is good)

我自己写的关于二维混合高斯分布的EM算法(I wrote about the distribution of two-dimensional Gaussian mixture EM algorithm)

labview fft labview8.20 用于音频变换.但8.20 不好下载(fft labview8.20 for PC Audio transform. But not download 8.20)

给原始信号加入噪声，然后让信号经过卡尔曼滤波器，比较原始信号、加噪声后信号及通过卡尔曼滤波器的信号的图像。(Adding noise to the original signal, and then let the signal through the Kalman filter, compare the original signal, the signal plus noise and the signal through the Kalman filter images.)

They are the programs of uniform quantization and non-uniform quantization. In digital signal processing, quantization is the process of approximating ("mapping") a continuous range of values (or a very large set of possible discrete values) by a relatively small ("finite") set of ("values which can still take on continuous range") discrete symbols or integer values.