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基于bp网络的“批处理”算法的实现的代码(The algorithm implementation process based on BP network of " batch" )

Buck变换器的Matlab/Simulink仿真(Matlab/Simulink model for Buck DC-DC converter)

经典的hough直线变换检测算法，可以极坐标进行转换，然后再检测直线(Line detection algorithm)

说明：  营造卓越，分享学术的氛围！很好，欢迎大家学习，交流！(verygood！let we see！verygood！let we see！verygood！let we see！verygood！let we see！verygood！let we see！)

介绍星座图的产生极其原理，可以加深对星座图的理解(introduce Constellation)

在matlab环境下实现语音信号的预处理，包括分帧，加窗，滤波，并进行端点检测，绘图。(Voice signal preprocessing in the Matlab environment, including the frame, windowing, filtering, and endpoint detection, drawing.)

功率谱估计 信号为两个正弦信号加高斯白噪声，各正弦信号的信噪比均为10dB，长度为N，信号频率分别为 和 ，初始相位 ，取 ， 取不同数值：0.3，0.25。 为采样频率。分别用Levinson递推法和Burg法进行功率谱估计，并分析改变数据长度、模型阶数对谱估计结果的影响。(Power spectrum estimation signal into two sinusoidal signals applied Gaussian white noise, the SNR of each sinusoidal signal are 10dB, a length of N, respectively, and the signal frequency, initial phase, take, take different values: 0.3,0.25. Is the sampling frequency. Levinson recursive method were used and Burg method for power spectrum estimation, and change the length of the data analysis, the impact on the estimation model order spectrum.)

matlab file for linear control system assgnment proeblem

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.)

关于DSP方面的FIR滤波器的设计的matlab程序。(On the DSP' s FIR filter design matlab program.)