igl::cat Concatenate two matrices (especially useful for dealing with Eigen sparse matrices) igl::ceil Round entries up to nearest integer igl::cumsum Cumulative sum of matrix elements igl::colon Act like Matlab's :, similar to Eigen's LinSpaced igl::cross Cross product per-row igl::do...
x = linspace(0,1,11); % In the measurement the first position is not 0 but a certain value like 0.1. x = [0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1]; t = [0 1800 3000 5000]; sol = pdepe(m,@pdex1pde,@pdex1ic,@pdex1bc,x,t); for I=1:size(t,2) semilogy(...
Eigen Armadillo 矩阵运算速度跟matlab⼀个量级 ⽬前使⽤⽐较⼴的C++矩阵运算库之⼀，是在C++下使⽤Matlab⽅式操作矩阵很好的选择，许多Matlab的矩阵操作函数都可以找到对应，这对习惯了Matlab的⼈来说实在是⾮常⽅便，另外如果要将Matlab下做研究的代码改写成C++，使⽤Armadillo也会很⽅便，这...
pos = np.linspace(0.0, 1.0, ncolors); color = cmap(pos, bytes = True); cmap = pg.ColorMap(pos, color) return cmap.getLookupTable(0.0, 1.0, ncolors); class plot_array(): """Plots a 2d matrix""" def __init__(self, data, title = None, color = 'viridis', ncolors = None...
n = np.linspace(0,N-1,N) print(n) t = n / fs #时间序列 x = 0.5 * np.sin(2*np.pi*15*t) + 2*np.sin(2*np.pi*40*t) #实信号 y1 = sci.fft.fft(x, N) #信号傅立叶变换 y2 = sci.fft.fftshift(y1) mag1 = abs(y1) #对信号取模求振幅 ...
torch.ifft(input, signal_ndim, normalized=False) → Tensor torch.rfft(input, signal_ndim, normalized=False, onesided=True) → Tensor torch.irfft(input, signal_ndim, normalized=False, onesided=True, signal_sizes=None) → Tensor torch.stft(input, n_fft, hop_length=None, win_length=None, ...
# 模拟IMU数据fs =100# 采样频率cutoff =10# 截止频率time = np.linspace(0,5, fs*5)accel_data = np.sin(2* np.pi *1* time) + np.random.normal(0,0.2, len(time))filtered_acc = lowpass_filter(accel_data, cutoff, fs) # 检测ifdetect_c...
cmap = plt.get_cmap('viridis')colors = [cmap(i) for i in np.linspace(0, 1, len(np.unique(y)))] class_distr = []# Plot the different class distributionsfor i, l in enumerate(np.unique(y)):_x1 = x1[y == l]...
();m.setLinSpaced(size,low,high);//此处会将该向量大小改为size大小, 并令其在low到high范围内均匀取点, 即步长是(high-low)/sizeMatrixXdm(10,10);//定义一个矩阵//下面的方法都会将m的大小改为rows, colsx.setZero(rows,cols);x.setOnes(rows,cols);x.setConstant(rows,cols,value);x.set...
以下是一个MATLAB数学建模代码大全,涵盖了多个常见领域和问题类型的代码模板。每个代码模板都附有必要的注释和说明,以便您理解和使用。 1. 二维曲线作图 matlab % 二维曲线作图 x = linspace(1, 200, 100); % 生成1到200之间的100个均匀分布的点 y1 = log(x) + 1; % 生成函数y = log(x) + 1 y2 ...