mppt

包含图像的边缘检测案例及代码，适用于图形图像领域初学者学习(Case of image edge detection and code, suitable for beginners learning image field)

在目标识别中利用结构化支持向量机加快评估过程而不降低精度(Using ranking SVM to accelerate the uation process of Object Recognition without decreasing accuracy)

说明：  文主要目的是针对讯号频谱分析仪(Signal spectrum analyzer)做功能测试，以确定讯号频谱分析仪之各种运算功能正确，其中测试共 分为正弦与余弦波检查、反假象滤波器检查(Antialiasing Filter Check)、频率响应函数与相位角检查(FRF & Phase Check)、自身能量密度函 数检查(Power Spectrum Check)、动态范围检查(Dynamic Range Check)等五个项目的快速傅立叶转换检查(Fast Fourier Transform Check)，并 对五个项目之测试原理、测试步骤及测试结果加以说明，提供频谱分析仪功能测试之正确方法，亦可作为自制频谱信号处理单元及频谱分 析程式之验证。(The main purpose of the text is for the signal spectrum analyzer (Signal spectrum analyzer) to do functional testing, to determine the signal spectrum analyzer features a variety of computing the right, which is divided into sine and cosine test wave inspection, anti-false filter inspection (Antialiasing Filter Check), the frequency response function and phase angle of inspection (FRF &amp Phase Check), its energy density function check (Power Spectrum Check), dynamic range checking (Dynamic Range Check) and other five projects FFT check (Fast Fourier Transform Check ), and principles of the five test items, test steps and test results to show that the spectrum analyzer to provide the proper testing method may be used as self-spectrum signal processing unit and the spectral analysis of the verification.)

几种MATLAB绘图，灯光定位、柱状图、设置照明方式(Several MATLAB drawing, light localization, histogram, lighting set)

线性调频信号的正交解调及脉冲压缩处理技术在matlab中的实现(The chirp signal quadrature demodulation and pulse compression processing technology implemented in matlab)

说明：  VMD变分模态分解函数和测试代码，可用于电能质量信号分析。(variational mode decomposition function and test code can be used for power quality signal analysis.)

说明：  Matlab_FFT方法检测正弦波相位 (Matlab_FFT phase sine wave was detected)

语音信号中用语谱图来直观的表示信号随时间变化的频谱特性。(Speech signal in terms of spectrum to visually represent the signal time-varying spectrum characteristics. )

GA for single machin problem

说明：  利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。(The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization of simulation results.)