gethammingdistance

说明：  读取地震数据软件，是地震资料处理的基础性资料(seismic software)

PSO滤波，我没试过，请高手用了之后传一个有中文解释的(PSO filter, I never tried, after you pass a master with a Chinese interpretation)

Kalman filter that can be simulated under windws(Kalman filter that can be simulated under w indws)

该文件是介绍卡尔曼滤波算法的，整个设计过程和思路明晰。(The document was introduced Kalman filtering algorithm, the whole design process and clear thinking.)

CrossPointNo=53 ％％％输入图中节点的总数目 对已知的边进行赋值，注意：有向图的Cost(i,j)=Cost(j,i)(CrossPointNo = 53%%% imported map nodes to the total number of known side Fu value, attention : to map Cost (i, j) = Cost (j, i))

we address the design of economical recursive generalized comb filters (GCFs) by proposing an ef- ficient technique to quantize the multipliers in the z-transfer function employing power-of-2 (PO2) terms. GCFs are efficient anti-aliasing decimation filters with improved selectivity and quantization noise rejection performance around the so-called folding bands with respect to classical comb filters. The proposed quantization technique guarantees perfect pole–zero cancelation in the rational z-transfer function of the GCFs, thus totally avoiding instability problems. Moreover, we propose the use of a simple droop compensator for the sake of recovering the passband droop distorting the useful digital signal in the baseband. A design example is proposed with the aim of showing the application of the proposed technique, and a practical architecture of a sample third-order GCF is discussed.

将signltap采集的数据导入到matlab进行，将txt文件数据导入到matlab( )

RGB和Lab颜色空间互相转换Matlab代码，亲测，非常好(Codes to transfer between RGB and Lab color space. Perform perfectly)

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

电动势负反馈的速度,电流双闭环直流调速系统仿真 (Negative feedback of the speed electromotive force, current Double Loop DC Motor Control System Simulation)