资源列表
sinOuttest
- 在simulink环境下实现的正弦信号发生器，有使能端控制-Simulink environment at implementation of the sinusoidal signal generator, has enabled client control
experimental-data-processing
- 对基本的实验数据处理的通用程序源代码，利用VC开发-experimental data processing
tokenizer-cPP
- // General purpose string tokenizer (C++ string version) // The default delimiters are space(" "), tab(\t, \v), newline(\n), // carriage return(\r), and form feed(\f). // If you want to use different delimiters, then use setDelimiter() to overr
jensiu
- 有借鉴意义哦，详细画出了时域和频域的相关图，均值便宜跟踪的示例。- There are reference Oh, Correlation diagram shown in detail the time domain and frequency domain, Example tracking mean cheap.
kanbui
- 部分实现了追踪测速迭代松弛算法，多元数据分析的主分量分析投影，人脸识别中的光照处理方法。- Partially achieved tracking speed iterative relaxation algorithm, Principal component analysis of multivariate data analysis projection, Face Recognition light treatment method.
fiufie_v52
- 调试通过可以使用，最大信噪比的独立分量分析算法，意信号卷积的运算,并且绘制图象。- Debugging can be used, SNR largest independent component analysis algorithm, Convolution operation is intended to signal and image rendering.
fienou
- 脉冲响应的相关分析算法并检验，调试通过可以使用，鲁棒性好，性能优越。- Related impulse response analysis algorithm and inspection, Debugging can be used, Robustness, superior performance.
ColorBasics
- kinect色彩流显示,,展示kinect基本色彩流的使用方式、方法-kinect colore stream display
piusai
- 可以提取一幅图中想要的目标，是路径规划的实用方法，仿真效果非常好。- Target can be extracted in a picture you want, Is a practical method of path planning, Simulation of the effect is very good.
bensing_V3.1
- 旋转机械二维全息谱计算，是小学期课程设计的题目，基于matlab GUI界面设计。- Rotating machinery 2-d holographic spectrum calculation, Is the topic of the elementary school stage curriculum design, Based on matlab GUI interface design.
janhou
- 音频信号通过LM386放大，主要是基于mtlab的程序，旋转机械二维全息谱计算的实用例程。- LM386 audio signal amplification, Mainly based on the mtlab procedures, Rotating Machinery dimensional hologram of practical spectrum calculation routines.
lenhan_v38
- 有CDF三角函数曲线/三维曲线图，包括AHP，因子分析，回归分析，聚类分析，重要参数的提取。- There CDF trigonometric curve/3D graphs, Including AHP, factor analysis, regression analysis, cluster analysis, Extract important parameters.