UWB-MATLAB

说明：  基于matlab的通信系统仿真系列--FSK解调(相干解调方式)(Matlab-based communications system simulation series-- FSK demodulator (Coherent demodulation method))

this is a digital image processing project about edge detection canny second algorithm in .m files

输入信号五个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，得到识别出的信号类别，本例为2PSK, 4PSK, GMSK, OQPSK, pi/4DQSK中的一个，还可以看Art网络的扩展性。(input signal instantaneous information on five characteristics : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, the identification of signal type, The cases of two PSK, 4PSK, GMSK, OQPSK, pi/4DQSK of one, Art can be viewed network scalability.)

利用matlab实现简易的MIMO系统仿真，其中包括AWGN信道和瑞利信道的2发2收有无信道编码的比较，以及1发2收。(Using matlab to achieve a simple MIMO system simulation, including the relatively AWGN channel and Rayleigh channel of the two 2 admission with or without channel coding, as well as a 2 admission.)

matlab 例程下载 从MATLAB爱好者上下的。。

具有低通功能的滤波器 可以设置参数 运用穿函数设计(Function of the low-pass filter can set the parameters to use the wear function design)

Vehicle guidance for obstacle avoidance example

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

Turbo Code simulator

用matlab实现分形的绘图，可以达到对分形的进一步了接(Using matlab to achieve fractal drawings, fractals can be achieved for a then further)