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说明：  多项式最小二乘法 三弯矩插值法 lagrange多项式插值 多项式最小二乘法 龙贝格积分法 分段线性插值 三转角插值 这些是数值分析中常用的集中经典方法，运用matlab展示出来！(least squares polynomial interpolation three Moment Hangzhou polynomial interpolation polynomial least-squares method Long Bagby integration piecewise linear interpolation three corner interpolation these numerical analysis is commonly used in concentrated classical method, using Matlab show!)

MMP算法是一种对半监督降维的方法，可用于图像检索，图像分类等方面。(Maximum Margin Projection)

possion image reconstruction

展示了线性、DFE、MLSE均衡器的信噪比性能，并通过蒙特卡罗模拟信道估计结果确定。(This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. )

本文分析了语音数字信号的采集来源以及其预处理。通过实例，利用Matlab对语音信号进行时频变换与分析，同时构造一个固定频率的干扰信号，对两个信号进行合成，设计数字滤波器，实现对语音信号的F IR、IIR滤波处理，最后在时域和频域中对信号进行分析比较。(This paper analyzes the sources of voice digital signal acquisition and its pretreatment. By example, voice signals using Matlab time-frequency transform and analysis, and construct a fixed-frequency interference signals, the two signal synthesis, design digital filters to realize the speech signal F IR, IIR filtering, and finally time domain and frequency domain signal analysis and comparison.)

PSCAD学习资料，包括PSCAD实验指导、与Matlab接口实现以及PSCAD的相关交流与应用。(PSCAD learning materials, including the PSCAD experimental guidance, and Matlab interface and the related exchange and application of PSCAD.)

indice de massa corporal em c

基于matlab的模拟oct系统的样品光的程序(Based on the matlab simulation program of oct sample light)

一种用matlab实现的三维UWBTDOA AOA联合定位算法仿真程序，很好，写的很详细(matlab )

利用matlab进行五点三次法平滑处理(时域和频域)(Using matlab 5.3 times France smoothing process (time domain and frequency domain))