topsis

一个不错的图像质量评价测度实现，用于泛型图像质量评价，需要参照图像。内有相关文献名称。(a good measure to evaluate image quality achieved for the Generic Image quality evaluation, needs light images. Have names related literature.)

主要讲述了LTE-A异构网络上行功率控制，对于研究中继增强网络的功率控制有借鉴意义。(LTE-A uplink Power control)

CWR_LEARN Fit the parameters of a cluster weighted regression model using EM

说明：  数字信号处理的一些MATLAB源程序，均已经通过编译、仿真，请放心下载使用。(digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.)

常用的一些图像处理Matlab源代码,比如数字图像的傅立叶变换，二维离散余弦变换的图像压缩，采用灰度变换的方法增强图像的对比度，直方图均匀化，图像滤波等(Some commonly used image processing Matlab source code, such as digital image Fourier transform two-dimensional discrete cosine transform image compression method using gray transform image contrast enhancement, histogram equalization, image filtering, etc.)

软件无线电中的信号抽取程序，包括抽取后的频谱分析(software radio signal extraction procedures, including spectral analysis after extraction)

2DPSK的Matlab的详细产生和调制程序，里面附有代码！！！可用运行！！(2DPSK of Matlab procedures detailed the generation and modulation, which with the code! ! ! Can run)

matlab code for enegy detector

基于ANSYS APDL二次开发的航电设备的动力学扫频分析，载荷输入条件为交越频率以下为恒定位移，交越频率以上为恒定加速度。我将加速度输入转换为位移输入，将位移和加速度两段输入载荷统一按照位移载荷输入，将位移存入表数组，利用ANSYS APDL自动将扫频范围内的位移载荷存入表数组，并循环加载计算，实现了该工程结构的正弦扫频振动分析。(Kinetic sweep analysis, load input conditions of secondary development based on ANSYS APDL avionics for the crossover frequency less constant displacement, above the crossover frequency is constant acceleration. I will convert the input displacement input acceleration, displacement and acceleration loads unity in accordance with the displacement of the two input load input, the displacement of the array into the table using ANSYS APDL automatically load displacement within the sweep range of the array into the table, and cyclic loading calculated to achieve a swept sine vibration of the project structure.)

说明：  基于先进信号预处理和自回归建模的滚动轴承故障诊断方法(A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and auto regressive modelling)