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QPSK
QPSK调制解调，包括波形，误码率，并加入时延，以前做的实验，可以作为参考。(QPSK modulation and demodulation, including waveforms, error rate, and add delay, before doing the experiment, can be used as reference.)
- 2009-04-23 17:06:44下载
- 积分：1
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DQPSK_Simu
DQPSK SIMULINK调制解调仿真
绝对能运行(DQPSK SIMULINK simulation is absolutely able to run modem)
- 2010-12-04 19:41:53下载
- 积分：1
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susanedgedetection
说明： 基于susan算法的图像边缘检测，内有主函数，和2个子函数，可出图。(Susan algorithm based on edge detection, within the main function, and 2 sub-functions, can be a map.)
- 2011-04-11 16:38:25下载
- 积分：1
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fuzzppp
模糊控制源码，模糊控制的具体程序及仿真。(Fuzzy control of source code, the specific procedures and Simulation of fuzzy control.)
- 2014-05-17 16:46:01下载
- 积分：1
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umyhtkmj
对HARQ系统的吞吐量分析，模式识别中的bayes判别分析算法，粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率，BP神经网络用于函数拟合与模式识别，用于信号特征提取、信号消噪，合成孔径雷达（SAR)目标成像仿真，有CDF三角函数曲线/三维曲线图。( HARQ throughput analysis of the system, Pattern Recognition bayes discriminant analysis algorithm, Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems, BP neural network function fitting and pattern recognition, For feature extraction, signal de-noising, Synthetic Aperture Radar (SAR) imaging simulation target, There CDF trigonometric curve/3D graphs.)
- 2016-03-30 21:18:54下载
- 积分：1
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bac_mcpg_ship_mountaincar_v1.2
说明： Bayesian Actor-Critic matlab example
- 2019-12-02 15:40:57下载
- 积分：1
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zy
说明： 经过主元分析后的神经网络算法Matlab代码(After principal component analysis of neural network algorithm Matlab code)
- 2008-01-07 21:22:38下载
- 积分：1
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adaptive-filter
包括了LMS算法，RLS算法实现的自适应滤波器，以及Wiener最优滤波器(Including the LMS algorithm, RLS algorithm adaptive filter, and Wiener optimal filter)
- 2011-07-14 15:28:23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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mfcc
Mfcc 提取语音特征参数 可以分辨出不同情感(Mfcc speech feature extraction can distinguish between different emotions)
- 2011-05-23 16:58:51下载
- 积分：1
