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Matlab
- 选择三个不同频段的信号对其进行频谱分析，根据信号的频谱特征设计三个不同的数字滤波器，将三路信号合成一路信号，分析合成信号的时域和频域特点，然后将合成信号分别通过设计好的三个数字滤波器，分离出原来的三路信号，分析得到的三路信号的时域波形和频谱，与原始信号进行比较，说明频分复用的特点。-Choice of three different signal-band spectral analysis carried out, according to the characteristics of the
vhdl
- 信号与线性系统的时频域分析：观测已知方波信号、正弦波信号的频谱；观测实时模拟信号的频谱；加深理解时域周期信号的各频率分量在振幅频谱图上所占的比重；观测相位在波形合成中的作用；LTI系统的频域分析，LTI系统对周期性输入信号的响应。-Signals and linear systems with time-frequency domain analysis: observation known square wave signal, sine wave signal spectrum obser
LS
- 试验模态分析的时域识别方法的一种，可以识别出信号的模态参数，固有频率阻尼比振型系数，-Experimental modal analysis of a time-domain identification method that can identify the signal modal parameters, natural frequency mode of vibration damping ratio coefficient,
ch4
- 虚拟频谱分析仪器，时域分析，频域分析，波形分析-Virtual spectrum analysis instrument, time domain analysis, frequency domain analysis, waveform analysis
program
- 可以做时域和频域分析,并可以导入数据做想要的说明，方便使用-it can anasys the time signal and the frequecy signal
shipinfenxi
- 时频分析方法提供了时间域与频率域的联合分布信息，清楚地描述了信号频率随时间变化的关系。-Time-frequency analysis method provides a time-domain and frequency domain, the joint distribution of information that clearly describes the signal frequency versus time relationships.
matlab2
- 基于matlab的风机信号处理，包括时域频域各种分析方法-Fan-based signal processing matlab, including a variety of analytical methods and frequency domain
SPWVD
- 视频分析方法中的平滑伪Wigner-Ville分布等效于对WVD的结果在时域和频域分别进行一次平滑滤波，有效抑制交叉干扰。-Video analysis methods smoothed pseudo Wigner-Ville distribution is equivalent to the result of the WVD smoothing once were in the time domain and frequency domain, inhibit cross-interfere
fft
- 运用C语言环境，实现基-2FFT运算，从而实现复杂的由时域分析转向频域分析的计算-Using C language environment and realize the base-2FFT operation, in order to achieve the complex time-domain analysis by calculating the frequency domain analysis of the steering
fuliye
- 傅里叶快速算法及其应用，包括频域特性曲线和时域分析-Fast Fourier algorithm and its applications, including frequency-domain and time-domain analysis curve
现代信号处理代码
- 短时傅立叶变换分析，时域分析通常用于最基本的参数分析及应用，如语音的分割、预处理、大分类等(Fourier transform time domain analysis)