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武汉理工大学matlab课程设计 信号调制(wuhan university of technology )

台湾人写的用matlab读写语音文件的ppt.介绍相当好,适合语音处理的入门文档(Written by Taiwan to use matlab to read and write audio file ppt. Introduce a very good deal for voice entry document)

These scripts demonstrate techniques used to generate test data and write those data to external data files.

Power control, broadly speaking, is the intelligent selection of transmitter power output in a communication system to achieve good performance within the system. The notion of good performance can depend on context and may include optimizing metrics such as link data rate, network capacity, geographic coverage and range, and life of the network and network devices. Power control algorithms are used in many contexts, including cellular networks, sensor networks, wireless LANs, and DSL modems.

图像的加噪，如高斯噪声，椒盐噪声，乘性噪声等。均匀模板，加权模板，平滑去噪，中值滤波(Add image noise, such as Gaussian noise, impulse noise, multiplicative noise. Uniform template, weighted template, denoising smoothing, median filtering)

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.

本实验目的是了解非参数估计—Parzen窗估计，对表格3中的数据进行Parzen窗估计和设计分类器.Parzen窗方法：假设区间Rn是一个d维的超立方体，hn表示超立方体的边长，体积为Vn=hnd。(Purpose of this study is to understand the non-parametric estimation-Parzen window estimate of the data in Table 3 Parzen window estimate and design classifiers. Parzen window method: Suppose a d-dimensional interval Rn is the hypercube, hn that side of the hypercube , volume Vn = hnd.)

说明：  利用Matlab软件平台对JTC进行了图像识别仿真实验，得到了二维及三维相关输出图像，显示出尖锐的相关峰。仿真实验表明：联合变换进行图像识别中存在强烈的零级干扰，干扰信号是有用信号的7.14倍，输出结果不理想；采用功率谱相减法可以消除零级强干扰，进而提高了图像的识别能力。(Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the correlation image are obtained. In the simulation experiments, the sharper correlation peaks are showed. The result shows that strong disturbance of zero rank exists in the simulation of JTC, and it is 7.14 times stronger than the useful signal thus, the power spectrum subtraction is used to eliminate the strong disturbance, and the capacity of image recognition is improved.)

MATLAB是目前国际上被广泛接受和使用的科学与工程计算软件。(MATLAB is widely accepted internationally and use scientific and engineering calculation software.)

利用matlab编程实现RBF神经网络，利用训练模型算法，最后得到较精确的神经网络模型，里面的程序并不需要先前自己进行数据归一化处理(radial basis function)