一个基于空域和频域的迭代盲复原算法例程代码

实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。(The actual scene, if the maximum lift capacity m = 10, the elevator has been designed to obey the guests uniformly distributed between 0-10, and the elevator in any one at any level under the same probability, if you The third layer needs to take the elevator to the seventh floor, the elevator in the first layer, a total of 8 layers. And in each level to reach their goals such as the elevator floor guests subject to the uniform distribution of 0-3 at this time we add some restrictions on the operation of the elevator, the elevator if it has not reached the destination guests, the lift will not change the direction, request until you reach the seventh floor so far, the elevator number of mathematical expectation to be stopped, and the computer simulation.)

伪随机序列相关性、功率谱、列数以及频数等的分析(Analysis of pseudo-random sequence)

说明：  现代数字信号处理中基于互相关函数的music方法(Modern digital signal processing in the cross-correlation function-based method of music)

说明：  DSP MATLAB 函式庫 for study and research(DSP MATLAB library)

Solar Charge Controller

该文档提供ASK,BPSK,QPSK,4QAM,16QAM等多种调制格式的LMS时域均衡算法，最初结构由MathWorks提供。(This document provides LMS time domain equalization algorithms in ASK, BPSK, QPSK, 4QAM, 16QAM and other modulation formats. The original structure is provided by MathWorks.)

基于matlab GUI界面设计,PLS部分最小二乘工具箱,代码里有很完整的注释和解释，包括最小二乘法、SVM、神经网络、1_k近邻法,粒子图像分割及匹配均为自行编制的子例程，从先验概率中采样，计算权重。

卫星星下点轨迹的计算，使用多个坐标系计算

本程序给出了从背景中分离出行人的matlab源代码.采用提取好的背景和行人的HOG特征,而这些特征又分为未分块和分块两组,所谓分块就是将图片进行细分,提取的特征更细.最后用最小欧氏距离法分类.(This procedure gives the background to separate from the travel people matlab source code. By extracting a good background and pedestrian HOG features, and these features are not divided into blocks and blocks Liangzu, the so-called sub-block is to carry out detailed pictures points, the extracted features more detailed. Finally, the smallest Euclidean distance classification.)

text localization,recognization and segemntation