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采用T.Chan的总体变分(TV)方法实现图像修复，由于算法本身的局限性，无法解决视觉连通性的问题。(using T. Chan of the overall variation (TV) method of image restoration, Due to the limitations of their own algorithm to solve visual connectivity problems.)

通过频域合成和复图像合成，实现一维信号的带宽合成，从而提高回波信号距离向的分辨率。(Through the frequency domain synthesis and complex image synthesis, realize a d signal bandwidth synthesis, so as to improve the echo signal to the resolution of the distance. )

matlab实现对伪随机序列PN码非均匀采样程序(PN code matlab realize the non-uniform sampling procedures)

一阶导数、二阶导数，矢量归一化（SNV），多元散射校正（MSC），数据中心化，直接信号校正，平滑处理六种光谱数据预处理的方法(A first derivative, second derivative, vector normalization (SNV), multiplicative scatter correction (MSC), the data center of the direct signal correction, smoothing six kinds of spectral data preprocessing methods)

说明：  用DFT计算连续信号的谱 通过应用 DFT 进一步加深对离散信号 DTFT 和 DFT 的概念及其相互关 系的理解。 =利用 DFT 计算连续周期信号的频谱(DFT calculations using a continuous signal by applying the DFT spectrum of discrete signals to further deepen the concept of DTFT and DFT and their mutual understanding of the relationship. = DFT calculations using a continuous spectrum of periodic signals)

本实验要求掌握时域特征分析原理，并利用已学知识，编写程序求解语音信号的短时过零率、短时能量、短时自相关特征，分析实验结果，并能掌握借助时域分析方法所求得的参数分析语音信号的基音周期及共振峰。基于MATLAB的语音信号时域特征分析(In this study, the analysis required to master the principles of time-domain characteristics, and use the learned knowledge to write programs to solve short-time speech signal zero-crossing rate, short-time energy, short-term autocorrelation features, analysis of the experimental results, and can grasp the time domain by means of analytical methods pitch the determined parameter analysis of the speech signal and formant. Based on time-domain characteristics of the speech signal analysis MATLAB)

粒子群算法工具箱求解水电站优化调度问题,欢饮下载(Particle Swarm Optimization Toolbox for Solving Optimal scheduling problem)

隐马尔科夫模型是语音识别中的重要算法思想，这里在matlab下实现了一个原理性的算法(Hidden markov models is an important algorithm in speech recognition, here under the matlab implements a rational algorithm)

说明：  SVM的预测数据主程序，适用于数据分类或计算预测结果，变化数据的输入即可得到运行结果。(The main program of predictive data of SVM is suitable for data classification or calculation of predictive results. The operation results can be obtained by inputting variable data.)

研究了基于信号强度模型的室内定位技术. 通过运用线性回归、补偿式线性回归和多元回归方法，利用 仿真数据建立了信号强度模型.(Indoor positioning technology based on signal strength model by using linear regression, the compensated linear regression and multiple regression method using simulation data signal strength model.)