image6manualseg

说明：  包里有直流发电机simulink模型，用于直流发电机的控制仿真。(Bag simulink model has DC generator, DC generator for the control simulation.)

模拟单边带调幅及解调产生300 ~ 3400Hz的调制信号，画出时域波形及频谱；  产生载波信号，频率自定义，画出时域波形及频谱；  产生加性高斯白噪声，画出时域波形及频谱；  单边调幅，画出叠加噪声后的调制信号和已调信号的波形及频谱；  设计滤波器，画出幅频响应图；  解调，画出解调后的信号时域波形及频谱，并对比分析。(Simulation of single sideband amplitude modulation and demodulation )

matlab vide the examined window into cells (e.g. 16x16 pixels for each cell). For each pixel in a cell, compare the pixel to each of its 8 neighbors (on its left-top, left-middle, left-bottom, right-top, etc.). Follow the pixels along a circle, i.e. clockwise or counter-clockwise. Where the center pixel s value is greater than the neighbor s value, write 1 . Otherwise, write 0 . This gives an 8-digit binary number (which is usually converted to decimal for convenie

this program is very useful for the comparison of lms and recursive least square method for beamforming in the application of wireless communication

自己写的相关性检测和线性预测编码的小程序，可以作为初学者的参考(Write their own correlation detection and the linear predictive coding of small procedures, can be used as a beginner s reference )

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.)

eBook: Algorithm Collections for Digital Signal Processing Applications Using Matlab - Springer

伪随机序列---m序列（function)( pseudo-random sequence--- M sequence )

图像识别概述统计模式的识别方法、结构语句的识别方法、模糊集识别法、神经网络识别法等(Image recognition methods outlined in the statistical model identification, structure identification method statements, fuzzy set identification method, neural network identification method, etc.)

Hybrid vehicle system modelling through simuliknk/Maltab