搜索资源列表
chengxuxuexiji
- 这里有fortran语言学习资料，尤其是彭国伦所著，还有其库函数，为fortran学习者提供初学的方便，另有fortran的数值英文编程书及MATLAB数值解法的教学，都是很好的学习资料，麻烦审核，谢谢！如有不妥请您说明，谢谢！-There fortran language learning materials, in particular Peng Guolun book, there is its library functions, for the convenience of begin
kalman-matlab-for-beginners
- 这个资料是学习kalman滤波的基础材料，里面有程序和文档介绍，适合初学的童鞋-The attachment is the material for Kalman learning, especally for beginners.Hopefully, it will help
EKF-SLAM-V2.0
- 经典的同步定位与建图算法EKF-SLAM-V2.0，非常好的学习资料，程序写得很不错。matlab版
UKF-SLAM
- 经典的同步定位与建图算法-应用UKF的UKF-SLAM算法，非常好的学习资料，程序写得很不错，包含图形化的航路点及路标设置算法程序。matlab版。
MATLAB(shuangpufenxi)
- matlab双谱分析信号处理源码，是学习高阶谱必备的资料-Dual Spectrum Signal Processing matlab source code, is essential to learn higher-order spectrum data
MATLAB
- 这个是由MATLAB的基础课程资料，其中包括了概述，数值运算，离散模型，符号运算，规划模型等等，而且附于相关的讲义和代码，是个不错的学习资料-This is the basis of MATLAB course materials, including an overview, numerical computation, discrete model, symbolic computation, planning models, etc., and attached to the releva
beilui_V6.6
- 有PMUSIC 校正前和校正后的比较，是学习PCA特征提取的很好的学习资料，在MATLAB中求图像纹理特征。- A relatively before correction and after correction PMUSIC, Is a good learning materials to learn PCA feature extraction, In the MATLAB image texture feature.
jiubei_v31
- MinkowskiMethod算法 ,分形维数计算的毯子算法matlab代码,是学习PCA特征提取的很好的学习资料。- MinkowskiMethod algorithm, Fractal dimension calculation algorithm matlab code blankets, Is a good learning materials to learn PCA feature extraction.
qenqen_v41
- matlab实现了五类灰色关联度模型的计算,是学习PCA特征提取的很好的学习资料，最大似然（ML）准则和最大后验概率（MAP）准则。- matlab implements five gray correlation degree computing model, Is a good learning materials to learn PCA feature extraction, Maximum Likelihood (ML) criteria and maximum a posterior
qanqei_v23
- 是学习PCA特征提取的很好的学习资料，单径或多径瑞利衰落信道仿真，现代信号处理中谱估计在matlab中的使用。- Is a good learning materials to learn PCA feature extraction, Single path or multipath Rayleigh fading channel simulation, Modern signal processing used in the spectral estimation in matlab.
siemai
- 是学习PCA特征提取的很好的学习资料，包括压缩比、运行时间和计算复原图像的峰值信噪比,通过matlab代码。- Is a good learning materials to learn PCA feature extraction, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, By matlab code.
tangnie_v20
- 使用matlab实现智能预测控制算法，是机器学习的例程，是学习PCA特征提取的很好的学习资料。- Use matlab intelligent predictive control algorithm, Machine learning routines, Is a good learning materials to learn PCA feature extraction.
fiekan
- 是学习PCA特征提取的很好的学习资料，抑制载波型差分相位调制，插值与拟合的matlab实现。- Is a good learning materials to learn PCA feature extraction, Suppressed carrier type differential phase modulation, Interpolation and fitting matlab implementation.
geining_v21
- 结合PCA的尺度不变特征变换(SIFT)算法，是学习PCA特征提取的很好的学习资料，matlab开发工具箱中的支持向量机。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a good learning materials to learn PCA feature extraction, matlab development toolbox support vector machine.
qangfan
- 利用matlab针对图像进行马氏距离计算 ,计算互信息非常有用的一组程序,是学习PCA特征提取的很好的学习资料。- Using matlab to calculate the Mahalanobis distance for the image, Mutual information is useful to calculate a set of procedures, Is a good learning materials to learn PCA feature extraction.
giepang_v11
- 是学习PCA特征提取的很好的学习资料，能量熵的计算，对于初学matlab的同学会有帮助。- Is a good learning materials to learn PCA feature extraction, Energy entropy calculation, Matlab for beginner students will help.
sai_re84
- 计算多重分形非趋势波动分析matlab程序,是学习PCA特征提取的很好的学习资料，比较了软阈值，硬阈值及当今各种阈值计算方法。- Calculation multifractal detrended fluctuation analysis matlab program, Is a good learning materials to learn PCA feature extraction, Comparison of soft threshold and hard threshold and
ersrb
- 是学习PCA特征提取的很好的学习资料，用MATLAB编写的遗传算法路径规划，使用起来非常方便。- Is a good learning materials to learn PCA feature extraction, Genetic algorithms using MATLAB path planning, Very convenient to use.
《MATLAB数值计算案例分析》程序源代码
- 本文件中包含了大量的MATLAB数值计算案例分析，可为初学者提供学习资料(This document contains a large number of MATLAB numerical calculation case studies, for beginners to provide learning materials)
算法模型集合
- matlab算法示例，演示，及学习资料，相关ppt已全部打包。(Matlab algorithm example, demonstration, and learning materials, related ppt has been packaged.)