-
Vblast_flatfading_channel
V_BLAST flading channel 的一个实例，可供了解V-Blast系统的同仁参考！(V_BLAST flading channel an example of V-Blast system for understanding colleagues reference!)
- 2010-11-23 07:07:53下载
- 积分：1
-
add_phase_noise
相位噪声的维纳建模，这是一个添加相位噪声的子程序(Wiener phase noise model, which is a subroutine to adding phase noise)
- 2021-03-31 21:19:08下载
- 积分：1
-
PSO
粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。
(Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)
- 2013-04-11 17:58:49下载
- 积分：1
-
MATLAB-HOOLLWOOD-stunt--Production
HOOLLWOOD电影《功夫熊猫》特技MATLAB制作(HOOLLWOOD movie Kung Fu Panda stunt MATLAB Production)
- 2015-03-12 13:44:41下载
- 积分：1
-
FrFT_LFM
线性调频信号的分数阶傅里叶变换，完整可用。分数阶傅里叶变换采用Pei采样算法，在傅里叶域呈现宽带特性的线性调频信号，在分数阶域呈现窄带特征。(The fractional Fourier transform of linear frequency modulation signal, available. fractional Fourier transform using Pei s sampling algorithm, in Fourier domain present broadband characteristics of linear frequency modulation signal, the fractional domain present narrowband feature.
)
- 2013-07-19 08:39:26下载
- 积分：1
-
time-S-Pre
用于时间序列的去噪以及预测，基于独立成分分析的最小二乘时间序列方法。(Noising for time series and forecasting, time series least squares method based on independent component analysis.)
- 2013-11-28 12:15:29下载
- 积分：1
-
sr
说明： 双稳态随机共振与时间同步的相关性研究可以改变随机共振原则改变系统工作环境(is investigated the characteristics of stochastic resonance of the signal added Gaussian white noise in a bithreshold system)
- 2010-03-23 13:54:29下载
- 积分：1
-
amplifier
光放大器仿真能够计算出放大的信号功率以及噪声功率(optical amplifier)
- 2010-07-28 15:13:09下载
- 积分：1
-
logisticsuanfa
多目标优化
相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)
- 2010-09-03 23:14:55下载
- 积分：1
-
LM
说明： 实现L-M非线性最小二乘优化，并有相关测试程序(LM achieve nonlinear least squares optimization, and related test procedures)
- 2015-01-11 10:44:19下载
- 积分：1
