encyclopedia-of-algorithm-

GNSS软件接收机，源自《软件定义的GPS和伽利略接收机》书中配套程序，做过修改，在原有程序框架下使用了2阶锁频环辅助3阶锁相环(The GNSS software receiver, derived from GPS and Galileo receiver of software defined supporting program in the book, modification, the original application framework use 2 order frequency locked loop aided third-order phase-locked loop )

核主成分分析方法是主成分分析的改进算法，其采用非线性方法提取主成分(Kernel principal component analysis method is an improved algorithm of principal component analysis, which uses a nonlinear principal components extracted)

课程设计用到的qpsk，包括qpsk信号的调制与解调，可运行，有图(Curriculum design qpsk used modulation and demodulation, can be run, there are plans。)

Image Enhancement of the CCD camera output

1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据 输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 (1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness)

利用matlab对声音信号进行傅里叶变换，得到信号的频率图，进而对信号的特征进行分析。(Use of matlab Fourier transform of the sound signals, to get the signal frequency plot, and then analyze the characteristics of the signal.)

Applied numerical methods using MATLAB

matlab based image arithmetic

对于大量照片求取通道内气泡长度和频率生成信息，每张都求取，计算速度较慢(For a lot of photos to strike a channel length and frequency of the bubble generation information, each have to strike, the calculation speed is slow)

Robust PCA and subspace tracking