-
MatlabFIR
FIR数字滤波器广泛应用在数字通信系统中,研究其实现方法具有重要意义。Matlab功能强大,利用Matlab辅
助设计DSP应用程序,可大大缩短DSP应用程序的开发时间。介绍了Matlab和CCS及DSP的连接,说明了利用Matlab辅
助DSP实现FIR数字滤波器的过程,及如何在Matlab环境中调试DSP程序,给出了实现结果,并把该结果和单纯在Matlab
环境下实现结果进行比较,前者效果更好,更具有实际应用价值。
(FIR digital filters widely used in digital communication systems, research methods of their realization of great significance. Matlab is powerful DSP using Matlab-aided design applications, can greatly shorten the DSP application development time. Describes the Matlab and CCS and DSP connections, shows DSP using Matlab support the process of realization of FIR digital filters, and how to debug in the Matlab environment, DSP program, are given to achieve results, and to the results and simple in the Matlab environment, achieved results are compared, the former better, more practical application value.)
- 2009-12-11 21:01:37下载
- 积分：1
-
MATLAB
Kalman滤波算法在Matlab中的仿真，主要是针对基本的算法(Kalman filter algorithm simulation in Matlab, basic algorithm)
- 2013-03-08 21:43:32下载
- 积分：1
-
pro1
sar成像算法 关于点目标仿真以及点目标成像 实验室教材(SAR imaging algorithm)
- 2013-04-24 11:31:33下载
- 积分：1
-
mean-and-variance
matlab mean and variance 的计算 以及多次方距离计算 最后画图表现(mean and variance and plot results)
- 2015-02-20 19:43:02下载
- 积分：1
-
pso
this file is project for tsp with pso algoritm
- 2013-05-22 23:06:11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
-
3
说明： io例程希望有帮助io例程希望有帮助io例程希望有帮助(io routines want to help io routines want to help io routines want to help)
- 2010-03-09 15:30:11下载
- 积分：1
-
plotspec
Plays piano sound in matlab
- 2015-03-07 23:10:24下载
- 积分：1
-
SVM-KM
K-近邻支持向量机回归，工具箱，全程Matlab(K-Support Vector machine Matlab， This function process the SVM regression model using a linear epsilon insensitive cost)
- 2012-05-08 17:39:07下载
- 积分：1
-
DCmotor
基于Matlab的直流电动机的起动、控制、调速仿真(DCmotor matlab simulink)
- 2010-05-21 22:14:52下载
- 积分：1
