exp_pid

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

this file is about beam forming with adaptive file

求最短路径问题中的权值矩阵，求最短路径问题中的权值矩阵，(Demand weight matrix)

使用mat2huff进行编码，进一步说明霍夫曼编码的压缩性能！显示其压缩比例，以及其图像的对比！(Encoded using mat2huff to further clarify the Huffman coding compression performance! Shows the compression ratio and the image contrast!)

创建一个first order 低通模拟信号滤波器。输入为热噪音(creative a first order low pass filter, the in put is the white noise.)

matlab 日内趋势交易代码(TrendIntraDay trade codes of matlab)

adaptive filter project two

这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较，很值得研究！(The key players here and some of the LMS algorithm is an improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) the differences between the points of comparison, in the traditional LMS algorithm is developed on the basis of the LMS algorithm applications. On the other hand and from the analysis of RLS algorithm and LMS algorithm for its different characteristics were compared, it is worth studying!)

发电机组预度表形成，停运表形成，还有负荷曲线形成(The formation of generator sets pre-degree table)

程序是OFDM系统整个发送接收过程，其中包含QPSK调制解调，快速傅里叶正逆变换，还有信道估计等过程。(The procedure is the OFDM transmitting and receiving process of the system, which includes QPSK modulation and demodulation, and inverse fast Fourier transform, and the channel estimation process.)