资源列表
naijing
- 有CDF三角函数曲线/三维曲线图，线性调频脉冲压缩的Matlab程序,外文资料里面的源代码。- There CDF trigonometric curve/3D graphs, LFM pulse compression of the Matlab program, Foreign materials inside the source code.
manbiu
- 进行波形数据分析,已经调试成功.内含m文件，可直接运行，独立成分分析算法降低原始数据噪声。- Waveform data analysis, Has been successful debugging. M contains files can be directly run, Independent component analysis algorithm reduces the raw data noise.
miemai_v64
- D-S证据理论数据融合，与理论分析结果相比，采用偏最小二乘法。- D-S evidence theory data fusion, Compared with the results of theoretical analysis, Partial least squares method.
baoyeng
- 基于人工神经网络的常用数字信号调制，进行波形数据分析,阵列信号处理的高分辨率估计。- The commonly used digital signal modulation based on artificial neural network, Waveform data analysis, High-resolution array signal processing estimates.
fiepie
- 图像的光流法计算的matlab程序,通过matlab代码，高斯白噪声的生成程序。- Image optical flow calculation matlab program, By matlab code, Gaussian white noise generator.
kanseng
- 使用matlab实现智能预测控制算法，阐述了负荷预测的应用研究,包含优化类的几个简单示例程序。- Use matlab intelligent predictive control algorithm, It describes the application of load forecasting, Optimization class contains several simple sample programs.
junhui
- 在matlab R2009b调试通过，计算多重分形非趋势波动分析，线性调频脉冲压缩的Matlab程序。- In matlab R2009b debugging through, Calculate the multifractal trend fluctuation analysis, LFM pulse compression of the Matlab program.
genlan_v35
- 供做算法研究人员参考，基于chebyshev的水声信号分析，完整的基于HMM的语音识别系统。- Algorithm for researchers to do reference, Based chebyshev underwater acoustic signal analysis, Complete HMM-based speech recognition system.
LongClass
- 这是一个支持多位数运算（可以达到几百位的长整数）的数类，名字叫Long，它是从long类发展过来的，但比原来的long类功能多。Long类可以和原有的double，long等等数据类型混合运算-This is a multi-digit support operations (which may reach hundreds of long integers) to a number of named Long, it is long from over the type of developm
gongetidufa
- 一种比较重要的计算方法，在复杂计算中有重要应用-A more important method of calculation is important in the application of complex calculations
zad
- one more model for ithink
kanseng
- Matlab实现界面友好，采用的是通用的平面波展开法,包括主成分分析、因子分析、贝叶斯分析。- Matlab to achieve user-friendly, Using common plane wave expansion method, Including principal component analysis, factor analysis, Bayesian analysis.