MATLAB-Solution-of-Partial-Differentl-Equations

matlab界面设计的一些资料笔记,可以做为初学者参考用(matlab interface design some of the information notes, can be used as reference for beginners)

说明：  Underwater wireless optical communication

说明：  这是基于MATLAB动态规划中最短路线的实现程序(good)

实现功能 1) 在用户界面设置录音时长并实时录音 2) 调节放音幅度、播放原声并进行时域、频域绘图 3) 对收集的声音进行倒放处理并播放 4) 对收集声音进行回声处理并播放，比对时域波形 5) 对收集声音进行回响处理并播放，比对时域波形 6) 对经过回声处理的声音进行回音消除并比对时域波形 7) 采用自适应滤波器消除采集声音中的环境噪音 8) 设计相应的滤波器组成均衡器对收集的声音进行处理并播放 9) 男女声识别 10) 设计参数可调的滤波器对采集的声音进行处理 (1) in the user interface to set the recording length and real-time recording 2) to adjust sound, played acoustic amplitude and time domain, frequency domain mapping 3) to upend the collection of sound and play 4) to collect sound echo processing and playback, than in the time domain waveform 5) to collect sound echoes, processing and playback, than in the time domain waveform 6) to echo and treated with echo s voice than in the time domain waveform 7) using adaptive filter to eliminate ambient noise in acquisition voice 8) to design the corresponding filter to process the voice of equalizer to collect and display 9) NanNvSheng recognition 10) tunable filter design parameters for voice processing )

蒙特卡洛(Monte Carlo)方法，是一种基于计算机“随机数”的计算方法。(Monte Carlo (Monte Carlo) method, is a computer-based " random" is calculated.)

近似熵是一种衡量衡量非线性时间序列复杂性的非线性动力学分析方法，其物理意义 为熵值越大，时间序列的自我相似性越低，序 列越复杂，反之序列自我相似性越高；并且样 本熵对于序列长度依赖弱，仅需较短的数据就 能够得到稳健的熵值，同时其计算不需对数据 粗粒化，具有较好的抗干扰能力 (Approximate entropy is a measure to measure the complex nonlinear dynamics of nonlinear time series analysis method, the physical meaning of entropy value is larger, the lower the self-similarity of the time series, the more complex the sequence, whereas sequence of self-similarity the higher and the sample entropy weak dependence for the length of the sequence, only shorter data can be healthy entropy value, calculated without data coarse-grained, with good anti-jamming capability)

Pcnn神经网络筛选特征因子代码，pca预处理代码，特征因子整合代码，等等，都是好东西啊(Pcnn neural network filter characteristic factor code, pca pretreatment code, characteristic factor integration code, etc., are all good things ah)

moment s tchebichef algorithm

source code for face recognition using ica (independent component analysis)

This is mat lab code for adaptive lattice filters.