Kalman-target-tracking

通过计算机上的多媒体卡，按照下列过程进行声音信号的录制、处理和回放，观察处理前后的波形，同时比较声音信号处理前后的效果。 1、 将录制的信号反褶以后播放（反褶以后的信号移到t=0点开始）。 2、 将录制的信号改变取样率（相当于进行了尺度变化）以后播放。 3、 将录制以后的信号延时1s，并将幅度降低一半，接着与原来的信号相加，然后播放。(Multimedia card on your computer, follow the process for recording, processing, and playback sound signal waveform observed before and after treatment, while comparative effectiveness sound signal before and after treatment. 1, the signal recorded after deconvolution player (deconvolution signal moves after t = start 0:00). 2, the signal is changing the sample rate recording (is equivalent to a scale change) later playback. 3, after the recorded signal delay 1s, and reduce the rate by half, and then with the original signal are added, then play it.)

bk bose based design indution motor vector control

分形插值曲面的MATLAB程序 这时pdf程序资料(MATLAB program of fractal interpolation of time pdf program information)

Sametime software zip

混合整体最小二乘迭代法的matlab实现，供大家一块学习(he total least squares iterative hybrid method of Matlab implementation, for everyone to learn a piece)

%(第一步加载原始数据并绘图)m文件保存代码;而mat文件保存工作区里面已经加载或计算好的数据 %当前文件夹显示的路径一定要是保存数据和保存代码的文件夹 %“relt”是包含分解结果的矩阵，第一列是原始输入（“gsta（：，2）”），最后一列是趋势。 中间是IMF频率从高到低。 %应该注意的是，由于在eemd.m中，IMF的总数m被指定为log2（N）-1，在某些情况解的线条进行了合并 %因此会比实际分解得到的减少，但在计算周期和表现显著性的时候要将每个模态的周期和显著性计算在内。((The first step is to load the original data and draw) m file saves the code; the mat file saves the data already loaded or calculated in the workspace %% the current folder displays a path that must store data and save the code folder. %"relt" is the matrix that contains the decomposition result, the first column is the original input ("gsta (:, 2)"), and the last column is the trend. The middle is the IMF frequency from high to low. It should be noted that since the total number m of IMFs in eemd. m is specified as log2 (N) - 1, the lines of the solution are merged in some cases % will therefore be less than the actual decomposition, but the period and salience of each mode will be taken into account when calculating the period and performance saliency.)

短时交通流预测是实现交通流诱导的关键技术之一。短时交通流因为其不确定性等特点而使其预测很复杂。本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。(Traffic flow forecasting is one of the key technologies to achieve traffic induced. Traffic flow because the characteristics of its uncertainty and make it very complicated to predict. Traffic data presented herein obtained through field surveys were used moving average, exponential smoothing, AR model method in three short-term traffic flow forecasting method to predict traffic flow.)

运用最小均方误差算法实现自适应波束形成的MATLAB源程序(Minimum mean square error algorithm using adaptive beamforming)

求解Ds粒子衰变的手征修正参数,涉及多目标的最优化。(Chiral symmetry-breaking parameters to Ds mesons)

直方图提取函数，用于人脸识别中，输入一幅图像，函数内部对输入图像做短时傅里叶变换，得到四幅幅度图，再求四幅图的直方图特征，合并后输出(Histogram extraction functions for face recognition, the input image, the input image inside the function to do short-time Fourier transform, the four magnitude diagram, and then seek four graph histogram feature, the combined output)