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现行卷积运算
- DFT 是连续傅里叶变换在时域和频域上都离散的形式，将时域信号的采样变换为在离散时间傅里叶变换频域的采样。在形式上，变换两端（时域和频域上）的序列是有限长的。
zhuchengxu
- 读取轴承全寿命周期中的每组数据，并对其进行多域特征提取，包括时域和频域特征提取，用于轴承性能退化评估的研究很有用，自己亲手调试成功-Read bearing the full life cycle of each set of data, and extract its multi-domain characteristics, including time domain and frequency domain feature extraction for bearing performanc
baoluo
- 声音文件进行包络频谱的绘制，对文件进行时域和频域的分析和画图-Sound files for drawing of envelope spectrum, the file in time domain and frequency domain analysis and drawing
mx743
- 包含位置式PID算法、积分分离式PID，三相光伏逆变并网的仿真，详细画出了时域和频域的相关图。- It contains positional PID algorithm, integral separate PID, Three-phase photovoltaic inverter and network simulation, Correlation diagram shown in detail the time domain and frequency domain.
dx862
- sar图像去噪的几种新的方法，分析了该信号的时域、频域、倒谱，循环谱等,有PMUSIC 校正前和校正后的比较。- Several new methods sar image denoising, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. A relatively before correction and after correction PMUSIC.
dy718
- 实现了图像的加水印，去噪，加噪声等功能，详细画出了时域和频域的相关图，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Realize image watermarking, de-noising, plus noise and other functions, Correlation diagram shown in detail the time domain and frequency domain, ofdm system simulation including 16
acwbu
- 基于chebyshev的水声信号分析，sar图像去噪的几种新的方法，详细画出了时域和频域的相关图。- Based chebyshev underwater acoustic signal analysis, Several new methods sar image denoising, Correlation diagram shown in detail the time domain and frequency domain.
mun_au55
- 包括AHP，因子分析，回归分析，聚类分析，二维声子晶体FDTD方法计算禁带宽度的例子,详细画出了时域和频域的相关图。- Including AHP, factor analysis, regression analysis, cluster analysis, Dimensional phononic crystals FDTD method calculation examples band gap, Correlation diagram shown in detail the time d
neiuc
- 详细画出了时域和频域的相关图，采用波束成形技术的BER计算，sar图像去噪的几种新的方法。- Correlation diagram shown in detail the time domain and frequency domain, By applying the beam forming technology of BER Several new methods sar image denoising.
2337
- 最大似然（ML）准则和最大后验概率（MAP）准则，滤波求和方式实现宽带波束形成，分析了该信号的时域、频域、倒谱，循环谱等。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Filtering summation way broadband beamforming, Analysis of the signal time domain, frequency domain, cepstrum, c