搜索资源列表
车辆系统动力学
- 涉及车辆系统动力学的一些关键问题求解,包括不同激励下系统的固有频率、阻尼比以及功率谱密度(Some key problems related to the dynamics of vehicle system are solved, including the natural frequency, damping ratio and power spectral density of the system under different excitation)
倒谱
- 对直扩信号采用倒谱法进行功率谱分析,检测高端周期脉冲谱线(Cepstrum signal power spectrum analysis using cepstrum method, detection of high-end periodic pulse line)
Welch_cov_burg
- MATLAB代码经典功率谱估计,Welch法、协方差法、周期图、burg法及其对比,附完整注释(MATLAB code, classical power spectrum estimation, Welch method, covariance method, periodogram, Burg method and their comparison, with complete annotation.)
海浪谱分析程序包
- 海浪方向普和功率谱的计算,可以用于波浪原始资料处理(The calculation of wave direction and power spectrum can be used for wave original data processing.)
PSD@
- 记录神经电信号的功率谱密度分析,多窗谱分析,窗函数法,周期法(The power spectral density of neural signals)
二次谱法
- 对DSSS/BPSK信号进行二次功率谱估计,可以估计出载频信息(The two power spectrum estimation of DSSS/BPSK signal can estimate carrier frequency information.)
Desktop
- matlab经典法之周期图法对随机信号进行功率谱估计。(Matlab classical method of power spectrum estimation)
$R8SOOS0
- 随机产生一次数据x=randn(1,1024*8) 对这个序列进行FFT然后求功率谱密度 。应用MATLAB画出来横坐标为频率(Frequency(hz)))纵坐标为功率谱密度(Power Spectrum Density) (dB))的图形(Randomly generate a data x=randn (11024*8) to carry out FFT for this sequence and then obtain power spectral density. Drawing th
Power-comput
- 信号功率谱的熵值计算,可用于信号分析或者信号处理(The entropy value of signal power spectrum can be used for signal analysis or signal processing.)
fft方法与pwelch方法测试噪声功率谱的比较
- 利用fft方法和pwelch方法在计算光纤水听器噪声功率谱时的对比程序(A comparison program for calculating the noise power spectrum of fiber optic hydrophone by using FFT and Pwelch methods)
三分之一倍频程谱
- 首先对采样信号进行傅里叶变换,计算出功率谱或幅值谱,然后用功率谱或者幅值谱的数据,计算每一个中心频率的带宽内数据的平均值。(Firstly, Fourier transform is applied to the sampled signal to calculate the power spectrum or amplitude spectrum, and then the average value of the data within the bandwidth of each cente
89346492nrzrz
- 双极性非归零码和双极性归零码的功率谱密度(nrz and rz 's power)
Untitled
- 根据实测加速度振动信号,求取功率谱密度,为疲劳分析提供数据支撑(According to the measured acceleration vibration signal, the power spectrum density is obtained, providing data support for fatigue analysis.)
代码
- 实现了一个基于 matlab 的信号发生器,并同时画出了信号的时域表示,自相关函数及功率谱,实现的信号发生器能够产生的信号为: (1) 白噪声 (2) 单位冲激信号 (3) 正弦信号 (4) 方波信号 (5) 三角波信号(A signal generator based on MATLAB is realized, and the time domain representation, autocorrelation function and power spectrum of the sign
功率谱估计方法
- 功率谱估计方法功率谱估计方法功率谱估计方法功率谱估计方法功率谱估计方法功率谱估计方法
gaosi
- 采用直接法或间接法(通过自相关函数)编制matlab程序,计算信号cos(2πf1t)+cos(2πf2t)叠加高斯白噪声后的功率谱密度。(Matlab program is compiled by direct method or indirect method (through autocorrelation function) to calculate the power spectral density of signal cos (2 PI f1t) +cos (2 PI f2t) s
White_PinkNoise
- 构造均匀白噪声、服从高斯分布的白噪声及粉红噪声,并得到它们的自相关函数、功率谱密度等(Constructing uniform white noise, white noise obeying Gauss distribution and pink noise, and obtaining their autocorrelation function, power spectral density, etc.)
PAM
- PAM功率谱分析研究,包含MATLAB程序以及实验过程和参数(PAM power spectrum analysis, including MATLAB program and experimental process and parameters)
T2F
- 傅里叶变换 MATLAB 函数调用 如实现功率谱分析(MATLAB tool simulink)
振动信号分析
- 对机械类振动信号处理,幅值谱,相位谱,自功率谱,自回归谱等(For mechanical vibration signal processing, amplitude spectrum, phase spectrum, self power spectrum, auto regression spectrum, etc.)