新建 DOC 文档

横向自适应滤波器和判决反馈自适应均衡器误码曲线学习比较

Using the idea from Seam Carving for Content-Aware Image Resizing, the codes enables a selected image to resize without having distortion of important object in the image file.

实现劳斯稳定判定的全部过程；给出劳斯表格，并给出判定所给系统稳定性结论。(Rolls-determination to achieve stability in the entire process given Rolls-form, and give stability to the system to determine the conclusion.)

Matlab实现的Contourlet变换的M文件代码(Matlab implementation of the M-file code Contourlet transform)

完整的mat格式的USPS手写字府库，里面包括7291个训练样本和2007个测试样本(USPS handwritten database of mat format,include 7291 cases for training and 2007 cases for testing.)

gabor变换——gabor变换能有效的一直字符的噪声，变形、断裂、模糊以及亮度不均匀图像干扰(gabor)

基于随机阵列的MUSIC算法，用于目标的DOA估计。(Random-array based MUSIC algorithm which can be used to estimate the DOA of targets.)

说明：  通过一个简单的目标跟踪算例，给出了MATLAB关于离散卡尔曼滤波的程序(Through a simple target tracking example, the matlab program of discrete Kalman filter is given.)

预测控制是一种新型的控制算法之一。经典的PID控制方法简单方便,但是精度不高。近年来发展的自适应、自校正方法精度高,但其本质要求在线辨识对象模型,对过程的未建模动态和扰动的适应能力差,鲁棒性不好。预测控制方法集PID和自适应方法二者之长,是一种面向工业过程特点、对模型要求低、在线计算方便、控制精度高的算法。数字计算机向小型、高速、大容量、低成本方向的发展,为预测控制这类新算法的实现提供了物质基础。 本文以PCT—Ⅲ型过程控制系统装置为平台,将预测控制算法运用到实际系统中去,该装置分为水位系统和温度系统。本文是将多步预测控制算法运用到温度系统。应用控制软件采用北京亚控公司的组态王软件(KingView),它界面设计能力强,也可以简单编程,但计算能力差,不能进行矩阵计算。而在温度多步预测控制中,计算量大,编程复杂,因此引入Matlab软件解决计算和编程,要解决的问题是MATLAB和组态王的数据交换,采用动态数据交换技术(DDE)。 预测控制算法有多种,本文采用的是动态矩阵控制方法(DMC)。(Predictive control is one of a new control algorithm. The classic PID control method is simple, but the accuracy is not high. In recent years the development of adaptive, self-calibration method is accurate, but its object model online identification of the essential requirements of the process unmodeled dynamics and disturbances poor adaptability, robustness is not good. Prediction and adaptive PID control method sets the length of the two methods is a feature for industrial processes, low requirement on the model, online convenience of calculation, the control algorithm for high accuracy. Digital computers to small, high-speed, large capacity, lower costs of development, such as predictive control implementation of the new algorithm provides the material base. In this paper, PCT-Ⅲ type of process control system devices as a platform, the predictive control algorithm to apply to the actual system, the device is divided into water system and temperature system. This is a multi-step pre)

文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。(This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example.)