chap-one

RNA 和 DNA序列模拟 基因建模 数值模拟 采用matlab 编写 能计算几千个 基因点的特性和行为(In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to different genes. Illuminated spots emit different color light, indicating which genes are expressed (e.g., green=control, red=sample, yellow=both). In this case study, MATLAB, the Image Processing and Signal Processing toolboxes were used to determine the green intensities from a small portion of a microarray image containing 4,800 spots. A 10x10 pattern of spots was detected by averaging rows and columns to produce horizontal and vertical profiles. Periodicity was determined automatically by autocorrelation and used to form an optimal length filter for morphological background removal. A rectangular grid of bounding boxes was defined. Each spot was individually addressed and segmented by thresholding to form a mask. The mask was used to isolate each spot from surrounding background. Individu)

译码协同通信的蒙特卡洛仿真 基于最大比合并接收方法(Decoding the Monte Carlo simulation of cooperative communication)

巴克码（相位编码脉冲信号）的波形、频谱和模糊函数的计算。((Phase-coded pulse signal) is calculated waveform, spectrum and ambiguity function Barker code.)

基于PQ控制的微网系统逆变器电源建模仿真鱼研究(Fish simulation system based on micro-grid power inverter control modeling PQ)

说明：  非均匀阵列 + MUSIC 算法的 DOA 例程(DOA routine of non-uniform array + MUSIC algorithm)

《MATLAB神经网络30个案例分析》中的第24个例子，案例24 模糊神经网络的预测算法-嘉陵江水质评价。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 24 example, 24 cases of fuzzy neural network prediction algorithm- jialing river water quality assessment. Hope to have certain help to everybody! )

Matlab+PID控制资料 基于MATLAB下的PID控制仿真(Matlab+PID control data based on MATLAB simulation of PID control)

对采用双二进制信号脉冲的2电平PAM通信系统进行Monte Carlo仿真。输入二进制序列为{bn},预编码序列为{dn},幅度序列为｛an},相关序列为{cn}。将高斯噪声加到接收序列{bk}上去以形成检验信号的输入，并恢复这个数据。对1万个比特执行这个仿真，并在σ2=0.1,0.5,1时分别测量比特差错概率。用此概率跟无ISI的PAM的BER曲线作对比并进行分析。(Partial-Responsing Signal。)

基于SIRP方法的相干相关K分布雷达杂波的建模与仿真程序，包含三个文件。主文件为K_distribution.m，两个函数文件nonline_eq_sirp.m，fseries.m。(K-distribution radar clutter simulation code based on SIRP method,including three files. The main file is K_distribution.m, the two function files are nonline_eq_sirp.m，fseries.m respectively.)

说明：  Objects forming possible solution within original problem context are called phenotypes, their encoding, the individuals within the GA, are called genotypes. The representation step specifies the mapping the phenotypes onto a set of genotypes. Candidate solution, phenotype and individual are used to denotes points of the space of possible solutions. This space is called phenotype space. Chromosome, and individual can be used for points in the genotye space. Elements of a chromosome are called genes. A value of a gene is called an allele. Variation Operators The role of variation operators is to create new individuals old ones. Variation operators form the implementation of the elementary steps with the search space.