PV_bingwang

无标度网络结构相对简单,实现算法与可视化并不困难。与其它语言相比,Matlab 语言具有丰富的数学 函数库,能够写出简约的源代码。对于非计算机专业的大学生来说,以此为基础,能够快速进入复杂网络前沿 研究课题,对其数学建模能力和科研能力的培养极为有益。(Scale-free network structure is relatively simple algorithm is not difficult and visualization. Compared with other languages, Matlab language with a rich library of mathematical functions, can be simple to write the source code. For non-computer science students is as a basis to quickly enter the complex network of cutting-edge research topics, their mathematical modeling and scientific research is extremely useful ability.)

这个程序是用SLM算法抑制峰均功率比的matlab仿真程序，对100000个OFDM符号进行统计然后表征算法对PAPR的改进程度，绝对可以运行(this process is inhibited by SLM algorithm PAPR of Matlab simulation program, to 100,000 OFDM symbols statistical algorithm then characterization of the degree of the improvement PAPR, absolutely can run)

这是IIR数字滤波器的设计及滤波程序，IIR滤波器用matlab实现，滤波数据用C生成，主程序实现数字滤波(This is the IIR digital filter design and filtering procedures, IIR filter using matlab, using C to generate filtered data, the main program to achieve digital filtering)

该功能能够通过摄像头自动识别目标 并进行准确定位(This feature can automatically identify the target through the camera and accurate positioning)

Encode/decode to ldpc-blockcode

现代控制原理作业 源程序 供参考 是MATLAB程序 有注释 (Modern control theory job source for reference)

用间接周期图法，分别对有噪声和无噪声的信号进行谱估计。(Indirect cycle diagram, respectively noise and noise-free signal spectrum estimation.)

关于小波分析的 具体是什么 我也不太清楚(wavelet analysis on the specific is what I did not know)

增广矩阵最小二乘法，用于处理数学建模及系统辨识中的一些问题(Augmented matrix least-squares method for handling mathematical modeling and system identification problems)

递推最小二乘法和递推阻尼最小二乘法仿真，系统模型如下： y(t) - 1.6 * y(t - 1) + 0.7 *y (t - 2) = u(t - 1) + 5.5 * u(t – 2) + e(t)，试用递推最小二乘法和递推阻尼最小二乘法进行参数识别，并进行比较 (Damped recursive least squares method and recursive least squares method simulation, the system model is as follows: y (t)- 1.6* y (t- 1)+ 0.7* y (t- 2) = u (t- 1)+ 5.5* u (t- 2)+ e (t), the trial damped recursive least squares method and recursive least squares method for parameter identification, and comparison)