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Monte Carlo算法的matlab实现，附其详细课件。(Matlab implementation of the Monte Carlo method, with detailed courseware.)

TolPac=1 输入数据块数 PacketLen=10 每块的符号数目 M=64 调制指数 SNR=20 NFFT=256 Length of IFFTCpLength=16 Length of Prefix NSubc=64 Number of subcarriers freoff=0.5 归一化频偏2.25,phaseoff=0.1 (TolPac = 1 input data blocks the the PACKETLEN 10 of the span per block, the number of symbols M = 64 modulation index SNR = 20 NFFT = 256 the length of IFFTCpLength = 16 Length of Prefix NSubc = 64 Number of subcarriers freoff = 0.5 the normalization frequency offset 2.25 phaseoff = 0.1 )

ECG is the graphical recording of the electrical activity of the heart and recognized biological signal used for clinical diagnosis. The ECG signal is very sensitive in nature, and even if small noise mixed with original signal the various characteristics of the signal changes. The signal voltage level is as low as 0.5 to 5mV and is susceptible to artifacts that are larger than it. The frequency components of a human s ECG signal

基于优化的A星算法的最优路径最短路径规划问题(A star algorithm and path planning)

粒子图像分割及匹配均为自行编制的子例程，详细画出了时域和频域的相关图，采用的是脉冲对消法。( Particle image segmentation and matching subroutines themselves are prepared, Correlation diagram shown in detail the time domain and frequency domain, It uses a pulse of consumer law.)

说明：  自己写的RBF动态聚类算法，希望多交流学习，请高手多多指教!(RBF write their own dynamic clustering algorithm, the exchange hopes to learn more, please master exhibitions!)

数字预失真Wiener模型的matlab实现(Digital predistortion Wiener model matlab implementation)

散列算法，用于生成原始消息的数字指纹，本算发基于MATLAB编写，本算法包含多种流行的散列算法，包括SHA1和SHA-256等广泛应用的散列算法，通过本程序，可以对几种广泛应用的散列算法进行调用(Hash algorithm used to generate the digital fingerprint of the original message, this is based on MATLAB, this algorithm contains a variety of popular hash algorithm, including SHA1 and SHA- 256 hash algorithm is widely used, through this program, several widely used hash algorithms can be invoked)

jx Robot源码，需要的可以看看,互相学习(jx Robot source, need to look at)

二维正态分布密度函数的数学模型，通过此函数调用实现结果求取(The mathematical model of two dimensional normal distribution density function is obtained by using this function call.)