Linear-Quadratic-Regulator

说明：  卡洛变换的MATLAB程序，运用于图像处理和统计信号处理(Carlo transform MATLAB procedures applied to image processing and statistical signal processing)

光纤模式分布图形及模式数量计算，程序清晰图形漂亮(fiber modes distribution graphic and mode number computition)

小世界模型网络构建的MATLAB源码。给出图形和随时演化(small world network by MATLAB，get the prediction of the future)

“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)

基于多相结构的信道化接收机仿真，将宽带信号经多相滤波器划分到一个个窄带中(Channelized receiver based on the simulation of multi-phase structure)

electric motor with torque speed control

基于ESPRIT算法的DOA估计，利用ESPRIT算法进行DOA估计(DOA estimate with arithmetic)

plot figure no focus(figure no focus)

这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。(This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. )

This program is used for face recognition