rsdecoder

信道化软件无线电技术不仅能同时发射整个处理带宽内所有信道上的信号，而且具有很高的计算效率，实时处理能力强，结构简单，可实现性强。这种信道化发射机与信道化接收机一样也是基于多相滤波器来实现的。(Channelized software radio technology can not only transmit signals on all channels in the whole processing bandwidth at the same time, but also has high computational efficiency, strong real-time processing ability, simple structure and strong realizability. The channelized transmitter is also implemented based on polyphase filter as channelized receiver.)

matlab实现信息论实验，一般信道容量迭代算法实验，绘制二元熵函数曲线实验等。(matlab experimental realization of information theory, iterative algorithm for general channel capacity test, drawing binary entropy function curve experiments.)

：探索一种能有效抑制和消除颅脑MRI运动伪影产生的方法，以提高图像质量和工作效率。方法：利用包装CT管球的海绵，设计并制作了2 cm x 7．5 cm x 22 cm，3 cm x 7．5 cm x 22 cm，4 cm×7．5 cm x 22 em等3种规格的海绵垫， 配合使用颅脑正交线圈进行颅脑MRI检查。结果：采用“加垫法”行颅脑MRI检查2 638例。其中，一次性扫描成功2 633 例(占99．81％)，失败5例(占0．19％)； 在扫描失败的5例患者中，第2次扫描时配合使用医用绷带成功4例。失败l例。结论：采用“加垫法”行常规颅脑MRI扫描，方法简单、可靠。可有效抑制和消除运动伪影的产生，提高图像质量和工作效率。(To explore a brain can effectively inhibit and eliminate motion artifacts of MRI approach to improve the image quality and efficiency. Methods: The CT tube packing sponge ball, designed and made 2 cm x 7.5 cm x 22 cm, 3 cm x 7.5 cm x 22 cm, 4 cm × 7.5 cm x 22 em 3 sizes, etc. sponge pad, with the quadrature head coil using brain MRI. Results: The " plus cushion Law" the Brain MRI examination 2 638 cases. Among them, the one-time scan is successful 2 633 cases (99.81 ), failed in 5 cases (0.19 ) Conclusion: " plus cushion Law" routine brain MRI scan, the method is simple and reliable. Can effectively suppress and eliminate motion artifacts, and to improve image quality and efficiency.)

TVAC-PSO.m code using Matlab

Self devrloped Demos for beginners of Matlab generate HTML report and enjoy

说明：  完整的带通采样定理验证程序,含测试用例,望对大家有用.(Bandpass sampling theorem complete verification process, including test cases, hope for all of us. )

用MATLAB语言求取控制表,输入为偏差和偏差变化率,输出为控制信号(using MATLAB strike control table, input errors and the rate of change of error, the output control signals)

这是篇关于左手材料的PPT，比较简单，适合于刚入门的人(This the chapter on the left hand material PPT, relatively simple and suitable for people who just look at the portal)

基于matlab的倒立摆系统实时模糊控制教程(Matlab inverted pendulum based on real-time fuzzy control system tutorial)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)