timing_syn

本算法是一种变步长的LMS算法，可以适用于智能算法等相关技术中(this algorithm is about a variable step-size LMS adaptive filter,and can be implied in samrt antenna)

it is used seperate framses from an video and to extract as jpeg images

quadrature phase shift keying demodulation technique

为实现通信的终极目标五个W：任何人（whoever）在任何时间（whenever）任何地点(wherever)与任何他人(whomever)进行任何类型(whatever)的信息交换，则至少通信网的最后一段必须是移动通信系统。由此可见移动通信在现在及未来通信中的重要地位。(communications to achieve the ultimate goal of 5 W : Any person (whoever) at any time (whenever) any location (wherever ) and any other person (whomever) for any type (whatever) the exchange of information, communications network at least the last paragraph must be mobile communication systems. So mobile communications in the current and future communications to the important position.)

在MATLAB编程语言环境下实现粗差的拟准检定法(In the MATLAB programming language environment to achieve gross errors QUAD method)

matlab程序实现下面的功能：过程的输入驱动采用M序列，即u(k)是一个M序列。过程传递函数G(s)中K=120，T1=8.3Sec，T2=6.2Sec。过程的脉冲响应理论值g(k)满足。根据过程的输入输出数据u(k)和z(k)，利用相关分析算法估计出过程的脉冲响应值g2(k)，并且有。(Process input is driven by the M sequence, i.e., u (k) is an M sequence. Process transfer function G (s) K = 120, T1 = 8.3Sec T2 = 6.2Sec. The impulse response of the process of the theoretical value of g (k) meet. According to the process input and output data u (k) and z (k), the estimated impulse response of a process value g2 (k), and the correlation analysis algorithm.)

这个程序是一个提取图像的LBP特征的程序，里面有可执行的m文件，有使用说明。对于一个不是太懂matlab的来说，可以直接拿来使用，附有使用说明。(This program is an extract LBP features of the image of the program executable m file with instructions for use. For a not too understand matlab can be directly used, with instructions for use.)

the image processing technique in obtaining the features present in the blood vessels of a retinal image is given

此为matlab编的聚类程序，可以快速的对位置样本进行聚类(This is a matlab series clustering procedure, you can quickly sample clustering of the position)

We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.