搜索资源列表
cp0101_bandwidth
- 第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。
band width
- 计算输入信号的功率谱密度和估计输入信号带宽并绘图-Evaluation of the single-sided ESD and frequency bandwidth
gesd
- The Generalized ESD procedure ( gesd ), tests for up to a prespecified number r of outliers and it is specially recommended when testing for outliers among data coming from a normal distribution.-The Generalized ESD procedure ( gesd ), tests fo
gesd_test
- The Generalized ESD procedure ( gesd ) tests for up to a prespecified number r of outliers and it is specially recommended when testing for outliers among data coming from a normal distribution.-The Generalized ESD procedure ( gesd ) tests for up to
MATLAB
- 1阶高斯脉冲能量谱密度ESD在matlab上的仿真，可仿照1阶，推出其他阶次。-An order Gaussian pulse energy spectral density ESD simulation in matlab, can be modeled an order, the order of introduction of the other.
cp0702_Gaussian_derivatives_ESD
- 生成1~15阶高斯导函数的ESD对比图像-Generate 1 to 15 th Gaussian derivative function of ESD contrast image Generate 1 to 15 th Gaussian derivative function of ESD contrast image