abcdefghij

聚焦高斯光束传输时的模拟代码，输入出结果的一个程序(matlab Simulation of Gaussian Beam Focused by a Lens Using BPM)

SMOTE插值算法，补全数据的不平衡性。(SMOTE interpolation algorithm to complete the imbalance of data.)

simulink仿真simulink仿真

基于matlab的fir数字滤波器的模拟和仿真图形，源代码 程序 用matlab打开运行即可，希望大家喜欢，谢谢！(failed to translate)

利用Matlab生成GPS C/A 码的基带信号。 （1）产生卫星PRN 号码为“5”的一组C/A 码； （2）循环生成25 页的导航数据，GPS 时间可填入一固定的已知数值； （3）生成C/A 码扩频信号，每个C/A 码码片给出4 个采样数据； （4）基带信号采用方波信号，电平为0 和1，占空比为50 ％，不加入噪声，进一步生成某个特定的中频信号。(Matlab generated using GPS C/A code base band signal. (1) generation of satellite PRN number is " 5" a set of C/A code (2) loop generates 25 of the navigation data, GPS time can fill a fixed known value (3) to generate C/A code spread spectrum signal, each C/A code chip gives the four sampling data (4) baseband signals using square wave signal, level 0 and 1, 50 duty cycle, not to join the noise generated further a specific frequency signal.)

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

LBP纹理提取源码

说明：  matlab的基础入门，对于MATLAB陌生的朋友是较好的教材(matlab based entry, for MATLAB is a good friend of unfamiliar material)

图像处理中的深度学习，主要是原理的讲解，比较易懂,对于。(Image processing in deep learning, mainly to explain the principle, relatively easy to understand.)

基于MATLAB环境下偏微分方程组的求解对应的代码 简单明了 便于初学者学习使用(Based on the MATLAB environment to solve partial differential equations corresponding code is simple for beginners to learn to use)