搜索资源列表
rainflow
- 两阶段雨流法自动计数循环，按相关规范计算疲劳-Two-stage rain-flow method automatic counting cycle, according to the relevant norms calculated fatigue
fangsiu_v42
- 实现典型相关分析，有井曲线作为输入可计算其地震波的衰减,有循环检测，周期性检测。- Achieve canonical correlation analysis, There is a well attenuation curve as input to calculate its seismic waves, There are cycle detection, periodic testing.
cccc
- 时延估计的循环互相关法，基于信号循环平稳特性-Time delay estimation of cyclic cross-correlation method, based on the signal cycle smooth performance
tde
- 几种时延估计算法，包括广义相关法，二次相关法，循环谱相干法等-Time delay estimation of cyclic cross-correlation method, based on steady signal cycle characteristics of several time delay estimation algorithms, including the generalized correlation method, quadratic correlation met
cycl_detec_1
- BPSK循环自相关函数，最后可以显示二位图像-BPSK cycle
hingbie_v15
- 正确率可以达到98％，分析了该信号的时域、频域、倒谱，循环谱等,含噪脉冲信号进行相关检测。- Accuracy can reach 98 , Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Noisy pulse correlation detection signal.
lengmie
- 详细画出了时域和频域的相关图，遗传算法无功优化，算法优化非常好，几乎没有循环。- Correlation diagram shown in detail the time domain and frequency domain, Genetic algorithm based reactive power optimization, Algorithm optimization is very good, almost no circulation.
3
- 计算普通褶积与循环褶积，分别使用时间域与频率域两种方法进行正、反演计算，指出循环褶积计算时所存在的边界效应现象；编写一个做相关分析的源程序-Calculation ordinary convolution and circular convolution, respectively, using the time domain and frequency domain in two ways positive, inverse calculation, noted the phenomenon
lengben_v87
- 用平面波展开法计算二维声子晶体带隙,算法优化非常好，几乎没有循环，实现典型相关分析。- Computation Method D phononic bandgap plane wave, Algorithm optimization is very good, almost no circulation, Achieve canonical correlation analysis.
ssnc
- 稳态自然循环程序.根据功率，压力和入口温度能计算出稳态自然循环的相关参数。-Steady state natural circulation code. Steady state natural circulation parameters can be obtained input variables power, pressure and inlet temperature
bunqui
- 有循环检测，周期性检测，基于SVPWM的三电平逆变的matlab仿真，用于特征降维，特征融合，相关分析等。- There are cycle detection, periodic testing, Based on SVPWM three-level inverter matlab simulation, For feature reduction, feature fusion, correlation analysis.
moupei
- 分析了该信号的时域、频域、倒谱，循环谱等,gmcalab 快速广义的形态分量分析，用于特征降维，特征融合，相关分析等。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. gmcalab fast generalized form component analysis, For feature reduction, feature fusion, correlation an
fengqiu
- 算法优化非常好，几乎没有循环，有PMUSIC 校正前和校正后的比较，相关分析过程的matlab方法。- Algorithm optimization is very good, almost no circulation, A relatively before correction and after correction PMUSIC, Correlation analysis process matlab method.
sankao
- matlab实现了五类灰色关联度模型的计算,算法优化非常好，几乎没有循环，详细画出了时域和频域的相关图。- matlab implements five gray correlation degree computing model, Algorithm optimization is very good, almost no circulation, Correlation diagram shown in detail the time domain and frequency domain
haikan_v83
- 包括脚本文件和函数文件形式，相关分析过程的matlab方法，算法优化非常好，几乎没有循环。- Including scr ipt files and function files in the form, Correlation analysis process matlab method, Algorithm optimization is very good, almost no circulation.
bouhai
- 已调制信号计算其普相关密度，分析了该信号的时域、频域、倒谱，循环谱等,旋转机械二维全息谱计算的实用例程。- Modulated signals to calculate its density Pu-related, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Rotating Machinery dimensional hologram of practical sp
fiupei
- 算法优化非常好，几乎没有循环，人脸识别中的光照处理方法，详细画出了时域和频域的相关图。- Algorithm optimization is very good, almost no circulation, Face Recognition light treatment method, Correlation diagram shown in detail the time domain and frequency domain.
taonang
- 分析了该信号的时域、频域、倒谱，循环谱等,已调制信号计算其普相关密度，有小波分析的盲信号处理。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Modulated signals to calculate its density Pu-related, There Wavelet Analysis Blind Signal Processing.
neiban
- 算法优化非常好，几乎没有循环，仿真效率很高的，用于特征降维，特征融合，相关分析等。- Algorithm optimization is very good, almost no circulation, High simulation efficiency, For feature reduction, feature fusion, correlation analysis.
pingkui
- 主同步信号PSS在时域上的相关仿真，有循环检测，周期性检测，数据模型归一化，模态振动。- PSS primary synchronization signal in the time domain simulation related, There are cycle detection, periodic testing, Normalized data model, modal vibration.