MIMO_toolbox

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

filter responce on pulse with fft

说明：  引入具有平移不变性和良好的方向分析能力的双树复小波变换对源图像进行多尺度分解;然后对分解得到的各尺度的高频子带采用基于跨尺度的邻域空间频率的融合策略,最高层的低频子带采用基于改进的邻域熵的融合策略进行融合处理;最后对融合后的各个频带进行双树复小波逆变换,重构出融合图像(The dual tree complex wavelet transform with translation invariance and good direction analysis ability is introduced to decompose the source image in multi-scale; then the fusion strategy based on the cross-scale neighborhood space frequency is adopted for the high-frequency subband of each scale obtained by decomposition, and the fusion strategy based on the improved neighborhood entropy is adopted for the low-frequency subband of the highest level; finally, each frequency band after fusion is carried out Double tree complex wavelet inverse transform to reconstruct fusion image)

这个代码是关于球体、直角体跟椎体目标的RCS计算matlab程序，简答明了，很适合初学者看的(This code is on the sphere, at right angles to the body with vertebral target RCS matlab program, the short answer is clear, it is suitable for beginners see)

这个程序是为了区分SIGNAL和VARIABLE在不同情况下要怎样使用的例程，程序中使用了三种情况来说明问题(This program is designed to differentiate between routine SIGNAL VARIABLE in different situations and how you want to use, the program uses the three cases to illustrate the problem )

Gaussian elimination in binary arithmetic

提取大量txt文本中的相同序号的数据，保存至数组，作为纵坐标画出图形。(Txt text to extract a large number of the same data, save it to an array, as ordinate drawn graphics.)

利用haar小波进行图像消除噪声 fir1: 1D filter-design (signal processing toolbox) following lines for proper rescaling of the noise, such that desired(Using haar wavelet image to eliminate noise fir1: 1D filter-design (signal processing toolbox) following lines for proper rescaling of the noise, such that desired)

Matlab code for interconnect design

The PowerBuilder Foundation Class Library contains windows, user objects, DataWindows, and structures that you can use to help build PowerBuilder applications. It is mainly intended for use with new applications. PFC uses a service-based architecture, maximizing PowerBuilder s object-oriented capabilities. By using PFC, you can quickly add powerful capabilities to your applications.