anil9_1

Using Advanced Signal Processing Techniques on Ambient Vibration Records of a Structure

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

that tells how to convey the transfomator

matlab软件中基于Simulink模型的设计，有关于RTW和xpc实验(matlab software Simulink model-based design of experiments about RTW and xpc)

关于matlab信道仿真中经常用到的信道噪声函数，包括高斯白噪声，瑞利信道，赖斯信道的仿真(Channel simulation on matlab frequently used function of channel noise, including Gaussian white noise, Rayleigh Road, Lai Sixin Road Simulation)

一个简单的Kalman滤波程序，对学习Kalman滤波有很大的帮助(A simple Kalman filter program, to learn a great help Kalman filter)

Today, there is almost no area of technical endeavor that is not impacted in some way by digital image processing.We can cover only a few of these applications in the context and space of the current discussion. However, limited as it is, the material presented in this section will leave no doubt in the reader’s mind regarding the breadth and importance of digital image processing.We show in this section numerous areas of application, each of which routinely utilizes the digital image processing techniques developed in the following chapters. Many of the images shown in this section are used later in one or more of the examples given in the book. All images shown are digital.

平均信道容量的仿真，不同的天线数进行了对比(A simulation of average channel capacity, a different number of antennas are compared)

通过将喷泉码的编译码方法再无线衰落信道上的用matlab仿真出来(Multi-path ruili channel simulation research on matlab)

有关纤维发展与应用方面的资料，中文名称绿色纤维(Development and application of fiber-related information, the Chinese name of the green fiber)