Optimal-Control

说明：  比较不同信道下的OFDM符号同步的算法，包括高斯，多径信道等(Comparison of different channels of the OFDM symbol synchronization algorithms, including Gaussian, multipath channel, etc.)

MATLAB6.5辅助优化计算与设计, 全面介绍了优化方法的基础理论和优化工具箱函数的功能，语法和工程实际应用。(MATLAB6.5 assisted optimization and design, a comprehensive introduction to optimization theory and the basis for optimization toolbox of functionality, grammar and practical application.)

介绍Matlab的相关命令以及相关用法，可以把它看作一个工具书(Introduction of Matlab commands and related usage, you can think of it as a tool)

说明：  wolf法求最大lyapunov指数wolf法求最大lyapunov指数

用curvelet去除随机噪声。此为增强型的去除随机噪声。效果较好。(Remove the random noise using curvelet. This is the enhanced removal of random noise. Is better.)

说明：  通过分析交通流量时间序列的特点，引入BP神经网络进行短时交通流预测。首先，分析了短时交通流量预测的意义及研究背景；然后，介绍了BP神经网络的结构模型、学习规则以及BP算法的改进算法；最后，通过BP神经网络对短时交通流进行预测，并分析了在各种不同条件下的预测情况。(through the analysis of the characteristics of traffic flow time series, introduces BP neural network for short-term traffic flow prediction. First of all, it analyzes the significance of short-term traffic flow prediction and research background. And then, it has discussed the model and structure, the study rule and the improved algorithm of BP neural network. Finally, by BP neural network to forecast the short-term traffic flow, it analyzes under different conditions of the neural network prediction.)

a matlab code about estimating model order with AIC criteria in modeling

Kalman filter implementation. Kalman implemented in an inverted pendulum, by controlling the position and measuring the speed, namely by integrating the actual position. Kalman predicts spreads far and correcting any errors caused by sensors

用matlab实现了指纹的预处理以及特征点的提取。(Using matlab fingerprint preprocessing and feature point extraction.)

Face Detection using AdaBoost