《卡尔曼滤波原理及应用-MATLAB仿真》

jade algorithm for extration of features

针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)

巴克码和线性调频混合雷达信号仿真(Barker codes and linear FM radar mixed signal simulation)

说明：  已知的线性系统，在阶跃输入下进行内模控制设计的simulink仿真模型(Known linear system, under the step input design of internal model control simulation model simulink)

使用Matlab通信工具箱中的RCOSINE和 RCOSFLT函数设计升余弦滤波器，有效地抑制码间干扰。(Using Matlab communication toolbox RCOSINE and RCOSFLT raised cosine filter design function effectively suppress inter-symbol interference.)

改进单纯形调优法程序，用于非线性数值优化问题(Modified simplex optimization method procedures for the nonlinear numerical optimization problems)

用来实现TD-SCDMA系统中turbo码的编译和其它附属功能(Used to implement TD-SCDMA system to compile turbo codes and other ancillary functions)

各种波形的matlab生成 可以观察波形图(Matlab various waveforms generated waveform can be observed)

matlab求解微分方程讲义，求解各类方程，介绍的很全面。(matlab solve differential equations lecture notes, solving all kinds of equations, introduced very comprehensive.)

振动消噪代码，包括白噪声、有色噪声、粉色噪声的生成；相关系数法消噪、小波软阈值消噪、互相关系数消噪三种方法对比。(Gaussian white noise, Gaussian colored noise and pink noise have been processed to verify the validity of the algorithm. we also compared the proposed method with the correlation coefficient method and wavelet soft threshold noise reduction methods. the results show that the proposed method can be performed on a variety of signal noise reduction, which is better than the correlation coefficient method and wavelet soft threshold noise reduction methods.)