modulasi_qam

GPC（广义预测控制），是预测控制的一种算法。本算法采用三阶环节加纯滞后来仿真。(GPC (Generalized Predictive Control) is a predictive control algorithm. The algorithm uses the three-order plus time delay to simulate.)

the k-modes for clustering algorithms.

Most recent approaches have posed texture synthesis in a statistical setting as a problem of sampling from a probability distribution. Zhu et. al. [12] model texture as a Markov Random Field and use Gibbs sampling for synthesis. Unfortunately, Gibbs sampling is notoriously slow and in fact it is not possible to assess when it has converged. Heeger and Bergen [6] try to coerce a random noise image.

用频率抽样法实现高通滤波器 频率为0-100HZ 用此程序可实现对心电信号基线漂移的消除(Use frequency sampling method achieve high-pass filter frequency of 0-100HZ with this program can be realized to eliminate ECG baseline drift)

matlab中很好的位置式PID控制算法(good position in the matlab PID control algorithm)

使用kalman滤波器估计异步电动机转速，仿真结果表明效果良好(use the kalman filter identify the speed of the asychronous moter,and the result is very good)

小波分解语音增强中使用的分帧函数定义，使用时需另外建立文件定义(Wavelet decomposition is used in speech enhancement of framing function definitions, when used to create additional file definition )

这是几个萤火虫源代码，可以正常使用，放心使用(This is a few firefly source code, can be used normally, rest assured that use)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

实现一个初始结点为3，最终结点为N的无标度网络，输出数据位邻接矩阵(It s out is a adistance matrix of a free-scale network which initial points is 3 and final points is N )