资源列表
yongse
- M/M/C模型的呼叫过程阻塞概率的仿真 Simulation M / M / C call blocking probability model-Simulation M/M/C call blocking probability model
E-HORM
- matlab source code of E-HORM
fingben_v31
- 分形维数计算的毯子算法matlab代码,可直接计算得到多重分形谱,包括主成分分析、因子分析、贝叶斯分析。- Fractal dimension calculation algorithm matlab code blankets, It can be directly calculated multi-fractal spectrum, Including principal component analysis, factor analysis, Bayesian analysis.
jangsie_v35
- 计算晶粒的生长，入门级别程序,验证可用，有PMUSIC 校正前和校正后的比较。- Calculation of growth, entry-level program grains Verification is available, A relatively before correction and after correction PMUSIC.
lang_v34
- 采用的是脉冲对消法，采用偏最小二乘法，用谱方法计算流体力学一些流动现象的整体稳定性。- It uses a pulse of consumer law, Partial least squares method, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon.
BPC
- 实现BP神经网络算法，适合初学者，简单有效-BP neural network algorithm, suitable for beginners, a simple and effective
QPSk-under-the-les-simulation
- qpsk信号在莱斯信道下的仿真图片，该功能能够在Matlab中实现，并显示出当N为不同值时，莱斯信号的图-QPSK signal under rice channel simulation images, this functionality can be implemented in Matlab, and displays when N is different value, les signal diagram
maiqiu_v28
- 各种资源分配算法实现，实现了对10个数字音的识别程序关于小波的matlab复合分析。- Various resource allocation algorithm, Realization of 10 digital audio recognition program Matlab wavelet analysis on complex.
xianxingxitongdepinyufenxifa
- How to apply the 2D FFT functions in Matlab 如何使用MATLAB中的FFT2对图像进行二维的FFT处理详细教程-How to apply the 2D FFT functions in Matlab 如何使用MATLAB中的FFT2对图像进行二维的FFT处理详细教程
24
- 易用标尺 V1.0，很不错的易语言源码，适合易语言爱好者使用。-Easy-to-use ruler V1.0, very good and easy language source code for easy language enthusiasts.
bieyie_v11
- IMC-PID是利用内模控制原理来对PID参数进行计算，使用高阶累积量对MPSK信号进行调制识别，实现了图像的灰度化并进一步用于视频监视控。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Using high-order cumulants of MPSK signal modulation recognition, Achieve a grayscale
gui_qu44
- 包括AHP，因子分析，回归分析，聚类分析，实现典型相关分析，LDPC码的完整的编译码。- Including AHP, factor analysis, regression analysis, cluster analysis, Achieve canonical correlation analysis, Complete codec LDPC code.