一个CT图像重建 ART算法程序

matlabprogram（chinese）(matlabprogram (chinese))

reflect spectral by layer peeling

一、 本程序采用16QAM调制方式，对一串2进制信源进行调制，用升余弦滚降函数进行基带调制，再调到高频信道；在信道上加入高斯白噪声，运用匹配滤波器解调，画出解调星座图，运用最小欧氏距离译码判决，计算误比特率。(First, this program uses 16QAM modulation mode, for a string of two binary source is modulated with a raised cosine roll-off function for base-band modulation, and then transferred to high-frequency channel in the channel by adding Gaussian white noise, the use of matched filter device demodulator, draw demodulation constellation, using the minimum Euclidean distance decoding decision, calculate bit error rate.)

ekf和ukf的程序的对比，主要应用于目标跟踪方面(ekfVSukf s programme ,it s fitted to track traget.)

attention model for saliency detection.

对信号利用三个小波函数进行了分解。有报告和图片。(The signal using three wavelet function decomposition. Reports and pictures.)

铅酸蓄电池的三阶动力模型。可以完成充电和放点过程。跑起来有问题的请检查你的解法是不是采用默认的ode45或者步长太大。(The three order dynamic model of lead acid battery. Can complete charge and discharge point process. Running problems please check your solution is not using the default ode45 or step size too large.)

充电机的全桥建模，很好用的一个建模充电机的全桥建模，很好用的一个建模(The whole bridge model charger, with a very good modeling)

Mo hinh dieu khien roi rac 2.1 chuong 4 - dicrete control

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)