一个关于混沌序列的噪声压缩程序，主要基于主分量分析方法，消噪效果非常好。模拟信号上加了100 ％噪声...

A code for implementing Bicubic Interpolation on images

自已编的一个matlab的harris角点检测的代码-Their own for a matlab the harris corner detection code

32路数字信道化程序 可以多密集的信号进行频率细分(32xindaohuav.m)

报童问题的计算机仿真 ％tm一轮实验的预定模拟天数 ％t一轮实验的仿真天数累积值 ％z订报量 ％z 最优订报量 ％g订报量z之上界 ％s1损失值之累计值 ％s最小损失值值 ％r按概率分布产生随机售报量样本(newsboy problem of computer simulation% tm an experimental simulation of the target number of days a t% of the experimental days of accrued Simulation plot value volume%% z z Factory Workers optimal quantity% g subscription volume z% above the industry s1 loss value% cumulative value of the smallest losses's value % r value of the probability distribution of random reported sales volume samples)

Arquivo do Fastreport para implementaç ã o

悬架simulink仿真模型，可以进行控制算法的研究和主动悬架的开发工作(Suspension simulink simulation model, control algorithm can be carried out research and development of active suspension)

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.

跳频系统的仿真,适合于初学者，算法还算清晰，还不错，希望对你有用(Simulation frequency hopping systems, suitable for beginners, the algorithm is fairly clear, well, I hope useful to you)

matlab program based on newton method, nonlinear equations

matlab编写多种图像边缘检测与分割处理(matlab to prepare a variety of image processing edge detection and segmentation)