introFFT

本代码是用四种不同的算法来实现多项式求和。(This code is used four different algorithms to achieve polynomial sum.)

wimax matlab patch file

digital signal processing project

Video boundary detection

这是跳频程序通过MATLAB的仿真分析，是很好的学习帮助程序(This is frequency-hopping process through MATLAB simulation analysis, are very good procedures to help study)

CORDIC算法的Matlab模拟，为了验证FPGA实现CORDIC算法的时间特性优于软件，用Matlab实现了一个计算sin, cos的CORDIC算法(Matlab simulation CORDIC algorithm, in order to verify the FPGA to achieve the time characteristics of CORDIC algorithm is superior to software, using Matlab calculated to achieve a sin, cos of the CORDIC algorithm)

本程序模拟了火星、金星、水星等行星相对地球的运动轨迹，对于研究行星运动规律极有帮助。(This procedure simulated Mars, Venus, Mercury and other planets relative to Earth' s trajectory for the study of the law of planetary motion very helpful.)

buck-boost的Matlabsimulink仿真(Matlabsimulink simulation of the buck-boost)

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.)

本程序包含LDPC码的BF、WBF、IMWBF等不同译码算法的时间复杂度以及性能比较。(This program is about different decoding algorithm of LDPC codes including time complexity and performance comparison of BF, WBF, IMWBF .)