-
MatrixVB
MatrixVB 使用手册:介绍在VB中调用matlab函数的控件的使用方法及例子。在VB中使用强大的matlab运算工具！(MatrixVB User’s Guide)
- 2009-06-06 10:40:39下载
- 积分：1
-
rayleigh
说明： 基于Matlab的移动通信中多径衰落信道的仿真\基于多径传输和多普勒频移的 瑞利（Rayleigh）信道的仿真 主要考虑不同条件下的仿真(Matlab-based mobile communications in the multipath fading channel simulation \ based multi-path transmission and Doppler frequency shift of the Rayleigh (Rayleigh) channel simulation the main consideration of the simulation under different conditions)
- 2020-12-31 11:58:59下载
- 积分：1
-
CMAbasedRLS
这个matlab代码是实现基于最小二乘算法的常数模算法。较最小均方误差算法，该算法收敛速度较快。(Matlab code to achieve the constant modulus algorithm based on least squares algorithm. Than the minimum mean square error algorithm, the algorithm converges faster.)
- 2012-04-28 10:48:47下载
- 积分：1
-
Radar-Using-MatLab
Radar Systems Analysis and Design Using MatLab. 雷达入门基础教程，包含原代码。(Radar Systems Analysis and Design Using MatLab. Radar Started Essentials contains the original code.)
- 2014-10-15 22:21:24下载
- 积分：1
-
SimplePendulum_LinearRegression
Calculating the acceleration due to gravity using linear regression method
- 2014-01-25 15:52:53下载
- 积分：1
-
hr615
仿真效率很高的，用MATLAB编写的遗传算法路径规划，虚拟力的无线传感网络覆盖。( High simulation efficiency, Genetic algorithms using MATLAB path planning, Virtual power wireless sensor network coverage.)
- 2017-04-26 19:47:39下载
- 积分：1
-
MPSK_SIM_4
MPSK simulation
1. System Parameters
2. Data Generation
3. Modulation
4. AWGN
5. Demodulation
6. Detection
- 2011-05-16 23:36:39下载
- 积分：1
-
PSO-BP-image-segmentation
籽子群优化算法优化BP神经网络，使用优化后的神经网络对图像进行分割。包括：籽子群优化算法，籽子的编码，最优权值和阈值的后成，基于籽子群优化算法的神经网络的培训，图像的分割。(The BP neural network optimized by Particle Swarm Optimization algorithm for image segmentation)
- 2014-09-13 10:06:56下载
- 积分：1
-
robust_ICA
稳健独立分量分析算法，实现任意混合信号的分离。(Strong and independent component analysis algorithm to achieve any mixed-signal separation.)
- 2013-04-08 22:39:38下载
- 积分：1
-
优秀论文及配套源码 SVM Short-term-Load-Forecasting
优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )
- 2021-04-01 17:09:08下载
- 积分：1
