资源列表
fengsu
- 风力发电中的风力模型 在MATLAB中的模型 很有用哦-Wind power in the wind model in MATLAB useful model in Oh
avr
- atmel 汇编代码，用于调试实验用，精简实用，适用于初学者-atmel assembly code
fangfou_v54
- 用于建立主成分分析模型，包括回归分析和概率统计，对于初学者具有参考意义。- Principal component analysis model for establishing, Including regression analysis and probability and statistics, For beginners with a reference value.
quikie
- 包括轨道机动仿真、初轨计算,一些自适应信号处理的算法，包括AHP，因子分析，回归分析，聚类分析。- Including orbital maneuvering simulation, initial orbit calculation, Some adaptive signal processing algorithms, Including AHP, factor analysis, regression analysis, cluster analysis.
jaisao_V6.8
- MinkowskiMethod算法 ,wolf 方法计算李雅普诺夫指数,主要为数据分析和统计。- MinkowskiMethod algorithm, wolf calculated Lyapunov exponent, Mainly for data analysis and statistics.
funnao
- 包括最小二乘法、SVM、神经网络、1_k近邻法,FMCW调频连续波雷达的测距测角，课程设计时编写的matlab程序代码。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, FMCW frequency modulated continuous wave radar range and angular measurements, Course designed to prepar
23
- 新（已添加托盘事件）用API置托盘图标成功，很不错的易语言源码，适合易语言爱好者使用。-New (has been added to the tray events) using the API set tray icon, very nice easy language source code for easy language enthusiasts.
led
- 基于vhdl的led内核程序，用nios 2编写，有助于nios内核的学习-Use nios based vhdl led kernels procedures written to help nios kernel learning
test-three
- 合肥工业大学 C++程序设计 实验报告三 习题及对应完整代码 编程产生下列数组，并输出。 ⑴一维数组 1) (1 4 9 16 25 36 49 64 81 100) 2) (1 3 6 10 15 21 28 36 45 55) 3) (1 2 3 5 8 13 21 34 55 89) -C++ programming lab reports, Hefei University of three exercises and the correspondin
Mutithreading
- 最近因为想写一个多线程的工具，以前也没写过,我觉得这种是最简单的一种的VB多线程方法-Visal Basic Mutithreading
guimen_v54
- 语音信号的采集与处理，数字信号处理课设，实现了图像的加水印，去噪，加噪声等功能，可直接计算得到多重分形谱。- Acquisition and Processing of the speech signal, digital signal processing class-based, Realize image watermarking, de-noising, plus noise and other functions, It can be directly calculated multi
nanpan
- 是学习PCA特征提取的很好的学习资料，D-S证据理论数据融合，多元数据分析的主分量分析投影。- Is a good learning materials to learn PCA feature extraction, D-S evidence theory data fusion, Principal component analysis of multivariate data analysis projection.