RF-Design-and-Analysis(1)

基于matlab的人工神经网络的实现,m语言 (matlab achieve ann)

Objective of this example is to demonstrate how to design and model adaptive controller, tune and analyse its performance using Simulink® . For this example we have used direct adaptive method called Model Reference Adaptive Controller (MRAC). There are three main elements of this model: Reference Model, Plant Model and Adaptive Controller. Each element and its working is explained in "Adaptive Controller Example.pdf", part of attached folder.

采用l1最小范数优化的方法进行压缩感知的图像处理(Minimum norm optimization using l1 compression method of image processing perception)

AP算法源码代 运行可以画出图 AP算法源码代 运行可以画出图(AP algorithm source code to run on behalf of AP algorithm source code can be drawn diagram can be drawn map on behalf of running)

This file is a solution for vertical seismic profile -example

详细描述了LTE 网络结构 以及个单元工作工程 信令过程(Detailed description of the structure and the LTE network signaling procedure work process units)

DISCRETE COSINE TRANSFORM, SINE TRANSFORM, HADAMARD KERNEL, HAAR KERNEL , MEDIAN FILTERING

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)

matlab常用算法集，包括了信号处理的大多领域(matlab common set of algorithms, including most areas of signal processing)

matlab code used for face recognition