搜索资源列表
raindrop
- 雨流计数程序,记录下幅值和均值序列，多遍扫描；应力应变迟滞三点法。-raindrop counting method
MATLApowerspectrum
- MATLAB_轴心轨迹图、幅值谱、相位谱、功率谱 对转子的故障检测或许有帮助 可以结合轴心轨迹的圆度 散度分析-MATLAB_ Orbit amplitude spectrum and phase spectrum, power spectrum rotor fault detection may help can be combined with the roundness of the core path divergence analysis
bizhijiaozheng
- 该程序是幅值谱中校正频谱峰值的比值校正法，可以自设定校正谱峰值的个数，同时还可以校正相位，校正的结果很准确。-The program is corrected spectrum peak in the amplitude spectrum ratio correction method, since setting the number of correction of spectral peaks, but also can be corrected very accurate phase c
thebestfft
- 在vc6.0中成功运行，实行了傅里叶变换。输出傅里叶变换的结果为各个点幅值，傅里叶系数a和b。可以利用来计算电力谐波。-In vc6.0 run successfully implemented a Fourier transform. Output the results of the Fourier transform magnitude of each point, the Fourier coefficients a and b. Can be used to calculate the
oriented_vector_control
- 异步电机间接矢量控制Simulink仿真模型，带有转速外环和Iq、Id两个内环，转速和负载指令阶跃变化，3/2变换为恒幅值变换，不包含弱磁控制，磁链指令为恒值。PWM调制算法采用空间矢量调制（SVPWM）。 -Indirect induction motor vector control Simulink simulation model with speed outer and Iq, Id two inner ring speed and load instructions step c
hanning11
- 加汉宁窗fft插值算法，计算谐波幅值、频率、相位，需输入采样频率、fft长度-hanning windows Harmonic analysis
zhaoxiaopu
- 位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2)
LDA_TrainTest_5CV
- 提取数据波形时域特征（绝对幅值、平均值、峭度、过零点）并且用LDA分类-Time-domain waveform data extraction features (absolute amplitude, mean, kurtosis, zero crossing) and classification with LDA
homework1
- 设计一个模拟信号（几个不同频率简谐信号之和，再加一个白噪声） 用不同的采样频率把信号离散（满足和不满足采样定理）， 画出信号波形； 分别作信号的谱分析（幅值）；对比采样频率的影响； 选用不同窗函数对同一个信号作谱分析，比较分析。-signal process using matlab
SVR-LINEAR
- 基于SVR的线性系统的辨识和校验，辨识信号采用幅值为2的随机信号-Linear systems based on SVR identification and validation, identification signal using random signal amplitude of 2
SVR-NONLINEAR
- 基于SVR的非线性系统的辨识和校验，辨识信号为幅值为2的随机信号-Nonlinear systems based on SVR identification and validation, identification signal is a random signal amplitude of 2
test
- 已采集线性震动系统（钢板）的输入与输出（时域幅值），求解系统数值解，幅频特征，并作图比较。-Have been collected linear vibration system (steel) input and output (time domain amplitude), numerical solution for solving the system, the amplitude-frequency characteristics, and mapping to compare.
Powerflow_finall
- 电力系统潮流计算，可以计算电压，相角，幅值-Power flow calculation, you can calculate the voltage, phase angle and amplitude
source
- 输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用周期图法和 ARMA谱估计法(SVD-TLS)估计此信号的功率 谱，并分析比较其结果-The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white n
source
- 输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用最大熵估计 法估计此信号的AR模型及其功率谱，并分析结 果-The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance
pronypower
- 关于prony一个分析电力系统谐波检测程序，准确分析暂态信号中的幅值 相位 频率-prony algorithm for power system harmonic estimation
Weak-signal-detection
- 本文利用软件相移技术得到相互正交的参考正弦波信号；通过互相关算法，完成了软正交矢量型LIA相关器的具体实现；利用该方法实现了对微弱信号幅值和相位的检测，有效地抑制干扰，减少了硬件电路成本。通过Matlab仿真，验证了该算法具有一定的优越性。-In this paper, the software technology is orthogonal to the phase shift of the reference sine wave signal through cross-correlat
SNR
- 资料中介绍了几种经典信噪比估计算法的编码并进行比较，包括误差矢量幅值法、最大似然估计、迭代法以及奇异值分解法。-Data introduces several classical coding SNR estimation algorithm and compared, including error vector magnitude, maximum likelihood estimation, iterative method and singular value decomposition
exp2
- MIT归一化算法，为了克服MIT自适应律的缺陷需要对其做些修正，使得自适应增益与输入信号幅值无关-MIT normalization algorithm, MIT adaptive law in order to overcome its shortcomings need to do to fix such adaptive gain is independent of the input signal amplitude
03071155prony
- matlab变成实现prony算法，自动提取符合信号中分量的频率、幅值、相位、衰减系数等参数，可以实现数据拟合-matlab become realized prony algorithms automatically extract the parameters frequency, amplitude, phase, in line with the signal attenuation coefficient component, you can achieve data fitting