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This function calculates the radial derivative of an input image. Input parameters: inputImage - the image to calculate the derivative from radialFilterLength - the length of the filter to use, total length will be 2*radialFilterLength+1 centerX and centerY - the point that is considered the center of the image, for the calculation minRadius and maxRadius - the minimum and maximum radius to calculate the angular derivative for. radialApproach - set to 1 to use a radius and angle search method, or 0 for a per-pixel approach

计算信号的希尔伯特-黄变换。 将HHT.m中的sig改成需要计算的信号即可。(Calculating signal Hilbert- Huang Transform. )

Given gray scale double matrix, M(width,height,frameNum),this function stabilizes the sequence using the Grey-Coded Bit-Plane Matching (GC-BPM) algorithm.(Given gray scale double matrix, M (width, height, frameNum). this function stabilizes the sequence using th Gray e-Coded Bit-Plane Matching (GC-BPM) algo rithm.)

Smartcard CCID specification

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)

功能描述：用matlab语言实现LMS自适应算法 函数名：LMS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)mu:自适应参数 (4)xn:LMS算法的输入序列 输出参数： (1)系数矢量A (Function Description: The LMS adaptive algorithm matlab language function name: LMS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) mu: adaptive parameters (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A )

说明：  案例为运用最优控制理论，实现对吊车数控系统的仿真。运用matlab仿真实现。(Case for the use of optimal control theory, to achieve the crane CNC system simulation. Use matlab simulation.)

Matlab basics are explained to brief the concepts in details

说明：  最近邻聚类算法,本程序利用图示来显示聚类之后的结果，效果直观(NearestNeighbor algorithm)

这个程序运用matlab的数学计算功能实现线性规划求解(This procedure using matlab mathematical functions to achieve linear programming)