phasenoise

线性支撑矢量机分类器 对模式识别问题中的线性可分问题进行分类(Linear support vector machine classifier pattern recognition problems in the linear separable classification)

用MATLAB软件实现高通，低通，带通滤波器的双线性函数的频率响应，观察其显示特点(MATLAB software, high pass, low pass, the bilinear function of the bandpass filter frequency response, observe the display characteristics)

使用Simulink环境建立的基于PSO的PID控制器的优化设计。 其中PID_Model为控制系统模型 PSO为PSO部分程序实现 PSO_PID为PSO优化PID的过程 (Use Simulink environment to establish optimal design of PID controller based on PSO. Model for the control system which PID_Model PSO PSO as part of the program to achieve PSO_PID PID optimization process for PSO)

Finding the Nearest Orthonormal Matrix In some appoaches to photogrammetric problems (perhaps inspired by projective geometry), an estimate M of an orthonormal matrix R representing rotation is recovered. It is then desired to find the “nearest’’ orthonormal matrix. While this two step approach — first finding a “best fit’’ matrix without enforcing orthonormality,and then finding the nearest orthonormal matrix — is not to be recommended, it may be of interest to find a solution to this problem nevertheless.

algorithme compression image based DCT and DWT

GUI光学薄膜多层膜系反射率分析，绘制反射率与波长、角度的函数曲线，计算带宽(Optical thin film multilayer reflectivity analysis, draw the function curve of reflectivity and wavelength, angle, calculate bandwidth)

GUI新手之M文件深入解析GUI M file in-depth analysis of the novice(New to the GUI M file in-depth analysis GUI M file in-depth analysis of the novice)

使用c语言及c++来实现matlab编程(using c or c++ to complete matlab programing)

 产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；  采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；  计算信号量化噪声比（SQNR）；  信道误码率为10-3；  解码，并画出u律反变换后的信号时域波形及频谱。 扩展要求：  采用均匀PCM、量化级数可变、信道误码率可变。 ( have a standard length of 1000 is too random signal distribution, draw time-domain waveform and frequency spectrum  u = 255 using the non-uniform PCM encoding, each symbol for 8bit, drawing input- output relationship diagram  calculated quantization noise signal than (SQNR)  channel bit error rate of 10-3  decoder, and law to draw u the signal after the inverse transform time-domain waveform and frequency spectrum. Expansion of the requirements:  uniform PCM, quantization level variable, a variable channel bit error rate.)

Detection of life threatening Arrhythmias are important for successful defibrillation therapy. This paper provides an idea about arrhythmia detection based on surface ECG analysis.