whitenoise_generation

电子产品软件验证越来越重要，通过加速硬件软件协同的目标、价值和方法充分证明(asic speed)

用matlab实现分形的绘图，可以达到对分形的进一步了接(Using matlab to achieve fractal drawings, fractals can be achieved for a then further)

汽车四分之一悬架模型建模与仿真，simulink(Car Modeling and Simulation fourth suspension)

matlab直接打靶法，适用于最优控制。解决小车定点停车问题。(Matlab direct shooting method, applied to the optimal control.Solve the problem of car parking)

说明：  hyper chaotic transformation

fs1016w编码标准matlab源码，亲自调试(matlab source coding standard fs1016w personally debugging)

用平移变换平移法(cycle_spinning)消除gibbs效应(Shift with the shift transformation method (cycle_spinning) Effect of the elimination gibbs)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)

ABC_to_dq0变换，ABC_to_（aβ）aiphar beta变换以及逆变换的mdl文件，已仿真验证其正确性。(ABC_to_dq0 transform, ABC_to_ (aβ) aiphar' beta transform and inverse transform mdl file, verify its correctness has been simulation.)

Blood vessel segmentation for fuzzy and edge detection which is uesd to detect the blood vessels and find edges