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music
用于阵列信号处理之中实现多重信号分类，即music方法和Esprit方法。(music and esprit )
- 2009-09-27 19:06:25下载
- 积分：1
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Cosgrove-Software-Model-Zip-Folder
The is a fully functional GPS SDR. It can accept real data or simulate its own data. It performs correlation, signal parameters discrimination, and loop filtering both code and carrier with the option of carrier loop aiding of the code loop. There are many support functions such as the numerically controlled oscillator, coarse acquisition code generator that are in the archive. This does not include the acquisition engine, just the channel tracking state machine. The also outputs carrier phase measurements and modulo 1ms pseudorange.
- 2012-01-25 14:06:33下载
- 积分：1
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CTPhf
ctp海风实例
有修改
非常好的交易实例(ctp cthostftdctraderapi)
- 2013-12-24 19:59:50下载
- 积分：1
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indirectneuralcontroller
indirect neural controller
- 2010-07-09 13:22:43下载
- 积分：1
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EMDfenshufourier
经验模式分解算法是仿真分数阶高斯噪声(fGn)和分数阶布朗运动(fBm)的新方法，
利用MATLAB的GUI开发环境，设计和实现了基于经验模式分解的分数阶随机序列仿真系统。(Empirical mode decomposition algorithm is a simulation of fractional Gaussian noise (fGn) and fractional Brownian motion (fBm) of the new method, using MATLAB' s GUI development environment, design and implementation of empirical mode decomposition based on the fractional order random sequence simulation system.)
- 2009-05-18 08:45:05下载
- 积分：1
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NN_pattern_recognition
pattern recognition using neural network
- 2015-03-20 18:44:35下载
- 积分：1
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battery_params
battery_params battery_params
- 2015-11-26 10:52:20下载
- 积分：1
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D_star_PathPlanning-master
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)
- 2021-04-17 17:50:13下载
- 积分：1
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SysTimeConversion_project
When you use the Microsoft Automation functions VariantTimeToSystemTime to convert variant time to system time and the SystemTimeToVariantTime to convert system time to variant time, the milliseconds value appears as zero or is ignored
- 2007-10-16 09:34:37下载
- 积分：1
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SAR_ECHO_SIMULATE_V1
目的：SAR雷达在斜视角etha下，雷达回波信号仿真
目标位置 X1(0.75PRT*C/2,Ta*V),X2(0.75PRT*C/2,2.3Ta*V)
修改时间：2013年9月21日 11:30
- 2013-10-12 22:16:36下载
- 积分：1
