theMATLABprogram

matlab牛顿法的函数和执行调用的结果(Newton method functionand the results )

用于图像增强，各种变换的图像增强以及部分空间滤波程序(For image enhancement, transform image enhancement and spatial filtering program)

linux下matlab可用的最小二乘法支持向量机ls-svm，c语音代码。(matlab under linux available method of least squares support vector machine ls-svm, c voice code.)

利用matlab实现几何矩部不变量的简单算法。(The geometric moments of the invariant of the simple algorithm.)

CHANNEL ESTIMATION AND PREDICTION MATLAB CODE

图像处理的matlab源码，无详细说明 图像处理的matlab源码，无详细说明(image processing Matlab source, no detailed description of the image processing Matlab source, No details)

数值资料变分同化风廓线雷达资料前需要对资料熟悉，并进行相应的质量控制。 通过对国内外主要风廓线雷达产品发展情况的介绍，比较了它们的主要技术指标和 测量性能，分析了天线、发射机采用不同技术体制时的优缺点。(Numerical data need to be familiar with the assimilation data of wind profile radar data, and the corresponding quality control. Based on the domestic and foreign main wind profile radar products development were introduced, compared and their main technical indexes The measurement of performance, analyzes the advantages and disadvantages of antenna, transmitter system when using different techniques. )

基于 MATLAB 的语音信号分析与处理的课程设计.录制一段自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用窗函数法或双线性变换设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的语音信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号(MATLAB-based voice signal analysis and processing of the curriculum. Record a voice signal itself, and the recorded signal is sampled draw sampled speech signal time-domain waveform and frequency spectrum filter performance given by using window method or the bilinear transformation to design a filter, and draw the filter frequency response then filter of their own design collection of the speech signal is filtered, the filtered signal to draw the time domain waveform and frequency spectrum, and filter the signal before and after comparison, analysis of signal changes playback voice signal)

code for object extraction using matlab

使用gevp解线性矩阵不等式的程序，很完整，有注释，对于学习求解线性矩阵不等式很有帮助(Solving linear matrix inequalities using gevp procedures are complete, with annotations, for learning useful for solving linear matrix inequalities)