bochefangzhen

通过学习CRC编码原理，本部分建立了SIMULINk模型，实现了CRC编译码。(in this part we build the simulink modol of the encoded and decoded of CRC.we can more understand the code)

本程序给出了ab滤波算法和Kalman滤波算法。 程序以叠加噪声的二维CV运动为例(包含轨迹突变情况)，分别运用了ab滤波算法和Kalman滤波算法 对运动轨迹进行了跟踪，并比较了滤波性能。(This program give the Kalman filter algorithm and ab filter algorithm. Program uses the two-dimensional noise superimposed exercise as an example CV (including locus mutation), respectively ab filtering algorithm using Kalman filtering algorithm and Exercise carried out on the track to track, and compare the performance of the filters.)

Database creation and connection

matlab优化方面的电子书籍。对想学习matlab的同学比较有用(matlab optimization aspects of e-books. Useful to the students want to learn matlab)

请拾取第一根线(LINE)或弧(ARC)连接线段或圆弧 ,再拾取第二根线(LINE)或弧(ARC)进行连接(Please pick up the first lines (LINE) or arc (ARC) connection line or arc, then picked up second line (LINE) or arc (ARC) connection)

创建和编辑包 创建一个包需要指定： · 包的一个名字。 · 新包要求使用或链接的其他包的列表。 · 包编译时包含或绑定的单元文件的列表。包实质上是这些包含已编译.BPL功能的源代码单元的封装，包含（Contains）列表是想编译进包的定制组件的源代码单元放置的地方。一个包由C++源文件（.CPP）和扩展名为.BPK的工程选项文件定义。这些文件由包编辑器生成。 (Creating and editing package to create a package needs to be specified: a name of the package. The new package requires the use of or linked list of other packages. Compile a list of unit package that contains the file or binding. These packages contain essentially compiled. Source code package BPL unit functions, including (Contains) list is to source code modules compiled into the custom component package placed. A package of C++ source file (. CPP) and the extension. Engineering options file defines the BPK. These files are generated by the package editor.)

利用小波理论，小波去噪软阈值和硬阈值的matlab仿真程序。 硬阈值、软阈值。(Using the theory of wavelet, wavelet denoising soft threshold and hard threshold of matlab simulation program. Hard threshold, soft threshold.)

说明：  MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first chapter is BP neural network data classification -- speech characteristic signal classification The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model The sixth chapter is PID neural network decoupling control algorithm multivariable system control The seventh chapter is the regression of RBF network the realization of nonlinear function regression .........the last is 58 chapters)

ask的相干和非相干接收，包括调制及解调过程，还有他们的误码性能比较(ask the coherent and incoherent receivers, including the modulation and demodulation process, and their BER performance comparison)

Additive delay Linear matrix inequality simmulation