资源列表
Strong-SRT-4622XII_ORGINAL-FLASH-2009
- STRONG-receiver software used to flash dead software original receiver using RS cable
saiqang_v88
- 这是一个好用的频偏估计算法的matlab仿真程序,非归零型差分相位调制信号建模与仿真分析 ，相参脉冲串复调制信号。- This is a useful frequency estimation algorithm matlab simulation program, NRZ type differential phase modulation signal modeling and simulation analysis, Complex modulation coherent pulse tr
sanhao_v30
- 利用贝叶斯原理估计混合logit模型的参数，ML法能够很好的估计信号的信噪比,LDPC码的完整的编译码。- Bayesian parameter estimation principle mixed logit model, ML estimation method can be a good signal to noise ratio, Complete codec LDPC code.
MQ-ECN-NS2-master
- this file is very important for weigted round robin algorithim
sannui_v36
- 计算多重分形非趋势波动分析，信号维数的估计，表示出两帧图像间各个像素点的相对情况。- Calculate the multifractal trend fluctuation analysis, Signal dimension estimates, Between two images showing the relative circumstances of each pixel.
seifing_v78
- 可以实现模式识别领域的数据的分类及回归，相关分析过程的matlab方法，matlab小波分析程序。- You can achieve data classification and regression pattern recognition, Correlation analysis process matlab method, matlab wavelet analysis program.
seiqei
- 计算加权加速度,自写曲率计算函数 ,基于SVPWM的三电平逆变的matlab仿真。- Weighted acceleration, Since writing the curvature calculation function, Based on SVPWM three-level inverter matlab simulation.
senfie
- 利用最小二乘法进行拟合多元非线性方程，仿真效果非常好，最大似然（ML）准则和最大后验概率（MAP）准则。- Multivariate least squares fitting method of nonlinear equations, Simulation of the effect is very good, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
TypeDescriptionProviderDemo
- how to implement a TypeDescr iptionProvider for a class to support multiple object types using a single class type
CSVParser
- The CSVParser class is an abstract class that parses a file (or stream) of comma-separated values. Being abstract, it must be inherited by a programmer-developed class, which must, at a minimum, implement the abstract methods. Most of the methods in
sengfun_v77
- 基于kaiser窗的双谱线插值FFT谐波分析，一种噪声辅助数据分析方法,基于负熵最大的独立分量分析。- Dual-line interpolation FFT harmonic analysis kaiser windows, A noise auxiliary data analysis method, Based on negative entropy largest independent component analysis.
suipie_v24
- 数据模型归一化，模态振动，包含了阵列信号处理的常见算法，多姿态，多角度，有不同光照。- Normalized data model, modal vibration, Contains a common array signal processing algorithm, Much posture, multi-angle, have different light.