chapter03

本程序的功能是实现人为框定目标后，对目标进行灰度边缘的提取和标记。(gray scale image,edge detected.)

WSN的dv_hop定位算法 WSN的dv_hop定位算法 WSN的dv_hop定位算法(wsn dvhop )

用于dsp的功能开发软件，可以实现普通的dsp相关计算(dsp functions)

direct torque control of induction machine

Using GA toolbox to solve the simple problem problem: we want to find the solve the puzzle which the sum of every row and column are equal.

一种基于改进压缩感知的低信噪比ISAR高分辨成像方法.pdf(A New Method of High Resolution ISAR Imaging under Low SNR Based on Improved Compressive Sensing)

说明：  基于LMS算法的matlab实现，比较基本的LMS算法，可用于自适应滤波器仿真(Matlab implementation based on LMS algorithm is a basic implementation of LMS algorithm for adaptive filter simulation.)

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

游需求分析婶予促进我目各地区的经济发展和文化交流都有着重要的意叉。由于旅游行业的。小样本，膏信息，不确定”性， 旅游市场可以看做是一个巨大的灰色系统。皋文竹对旅游需求同题进行了详细的研完，提出了基于灰色表镜理论的多元数学预测模型GM (1，N)．合理分析诸多因素对旅游需求的综合影响，可以很好的解决此奏问题。同时。以北京地区旅游需求发展为倒，根据北京市旅游局平 的历年旅游统计数据，确定影响游客人数的因素并对其合理量化，应用GM(1，N)模型对最地的旅游需求进行预潮．井通过残盖检验，后戎 差检验手方法对谊模型进行分析．得到的攮测结晨比较准磅，未模型应用范田广泛，可以进行推广使用。(Travel demand analysis aunt I promote my head the region s economic development and cultural exchange has an important meaning fork. As the tourism industry. Small sample, paste the information, uncertain "sex, Tourism market can be seen as a huge gray system. Gao asparagus tourism demand with the title for a detailed study finished, put forward the theory based on gray table mirror multivariate mathematical prediction model GM (1, N). Rational analysis of factors combined effects of tourism demand, can solve this problem outs. Simultaneously. Development of regional tourism demand in Beijing is an inverted, according to the Beijing Municipal Tourism Bureau level Calendar year tourism statistics to determine the factors that affect the number of visitors and their reasonably quantified, the application of GM (1, N) model of the tourism demand for the most pre-cuts. Well residue cover through test after Rong Poor test methods friendship hand model for analysis. Nang get more accurat)

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