ETMPSLC_OFF_ALR_MATLAB

离散系统的状态方程模型,离散系统的状态方程模型,离散系统的状态方程模型.(State equation model of discrete-time systems, discrete system state equation model of discrete system state equation model.)

现代数字信号处理Burg法功率谱估计，有详细的备注(Burg method of modern digital signal processing power spectrum estimation, contains a detailed Remarks)

美国学者无与非的总要资料很基础想学turbo码的人必需看good turbo code (good turbo code )

三维激光点集及处理的matlab程序。。(And the processing procedures of MATLAB 3D laser point set.. )

递归实现一个集合的所有的子集的输出。 例如{1，2} 输出{}{1}{2}{1，2}(A subset of the output of recursion)

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. )

　研究了基于滤波器组的单载波频域均衡技术的基本原理和实现方法,通过系统对比基于滤波器组的方法与基于FFT方法的异同之处,从其产生的机理上阐明了基于滤波器组的单载波频域均衡技术能够克服FFT 方式的主要缺点的原因(Of filter-based single-carrier frequency domain equalization technology, the basic principle and method, through the system, filter-based approach compared with the FFT method based on the similarities and differences between, from production to clarify the mechanism of the filter-based single-carrier frequency domain equalization techniques to overcome the main drawback of FFT method because)

该代码实现了以2为因子的图像升采样和降采样功能。 降采样包括使用平滑滤波器(with using the averaging filter)和不使用平滑滤波器(without using the averaging filter)两种方法。 升采样包括像素点直接复制(pixel replication method)和线性插值(bilinear interpolatoin method)两种方法。 降采样方法和升采样方法共有4种组合。程序运行后，给出了一个原始图片和四个结果图片。 图片1.原始图片。 图片2.平滑滤波器降采样&像素点直接复制升采样。 图片3.平滑滤波器降采样&线性插值升采样。 图片4.不使用平滑滤波器降采样&像素点直接复制升采样。 图片5.不使用平滑滤波器降采样&线性插值升采样。 (The code to achieve a 2-factor image upsampling and downsampling function. Down-sampling (with using the averaging filter) and do not use smoothing filter (without using the averaging filter) are two ways to use the smoothing filter. Upsampling including the pixels copied directly (pixel replication method) and linear interpolation (bilinear interpolatoin method) two methods. Down-sampling method and liters a total of four combinations of sampling methods. The program is running, it shows a picture of an original picture and four results. Picture 1 original picture. Photo 2. Smoothing filter downsampling & the pixel directly copied liter sample. Photo 3. Smoothing filter downsampling & the linear interpolation liter sampling. Picture 4. Smoothing filter down-sampling & the pixels directly copied liter sampling. Picture 5. Use smoothing filter down-sampling & the linear interpolation liter sampling.)

Guitar Signal using matlab

bi-linear Filter. Circular Convolution of two sequences using DFT and IDFT. Discrete Fourier Transform (DFT) of the sequence