powertool-1.0.0beta.tar

应用LMS算法去除噪声，纯净信号为各种数字调制信号，本程序中选的是数字调幅信号8ASK，噪声是高斯白噪声，信噪比可以任意指定。(Application of LMS algorithm to remove noise, clean signal for a variety of digital modulation signal, this procedure is successful digital AM signal 8ASK, noise is white Gaussian noise, signal to noise ratio can be specified.)

release for matlab note 2011a

利用蚁群算法整定PID参数,得到PID的参数，使得系统的动态性能最好(get PID parameters by ACA)

这是一个火车票分配问题（只有X是未知的） 假设初始座位数为N 分配给AB，BC，AC的座位数量为（xAB,xBC,xAC） 假设在时间t还剩余的A-B,B-C的可售座位数为（a,b） 三个区段的需求DAB,DBC,DAC,是独立的随机变量（也可以给确定的值），其价格分别为（fAB，fBC，fAC）(This is a train ticket assignment problem (only X is unknown). Suppose the initial number of seats is N The number of seats allocated to AB, BC and AC is (xAB, xBC, xAC). Assuming that the remaining A-B in time t remains, the number of seats available for sale is B-C (a, b). Demand DAB, DBC and DAC in three sectors are independent random variables (which can also be given a fixed value), and their prices are (fAB, fBC, fAC) respectively.)

TE过程是基于实际工业过程的过程控制案例，它是由美国伊斯曼化学公司的过程控制小组创建的，其目的是为评价过程控制和监控方法提供一个现实的工业过程。测试过程是基于一个真实工业过程的仿真，很适合于研究过程控制技术。其中的成分、动力学、运行条件等因为专利权的问题都作了修改。(TE process is based on the actual process of industrial process control case, it is by the process of U.S. Eastman Chemical Company control group created, and its object is to provide a realistic industrial process for the uation of process control and monitoring method. Test procedure is based on a real industrial process simulation, well suited to study the process control technology. One of the components, dynamics, operating conditions and other problems have since been revised patent.)

在MATLAB中实现图像的读取与常用的转换(Read and used for image conversion in MATLAB)

卡尔曼机动调试程序，描述卡尔曼滤波的状态方程，用于研究生教学实验(kalman experiment related program)

this file contains matlab code

上传一些自编一维和二维Capon和MUSIC算法案例，希望能帮助到你(Upload some self-compiled one-dimensional and two-dimensional Capon and MUSIC algorithm case, hoping to help you)

采用matlab编写的关于当 L=64时，为求得在均匀量化时的最优步长(Prepared by the use of matlab when L = 64 when, in order to achieve the optimal uniform quantization step size at the time of)