《matlab使用详解》的部分源码，希望对你有所帮助

FAST K-NEAREST NEIGHBORS SEARCH (FAST K-NEAREST NEIGHBORS SEARCH Description You can find the description at: http://www.advancedmcode.org/gltree.html A Pro Version has been published on: http://www.advancedmcode.org/gltree-pro-version-a-fast-nearest-neighbour-library-for-matlab-and-c.html Acknowledgements The author wishes to acknowledge the following in the creation of this submission: K-NEAREST NEIGHBOURS AND RADIUS (RANGE) SEARCH This submission has inspired the following: K-NEAREST NEIGHBOURS AND RADIUS (RANGE) SEARCH, FAST K-NEAREST NEIGHBOURS SEARCH 3D VERSION MATLAB release MATLAB 7.5 (R2007b) Other requirements Need a mex compiler Zip File Content Other Files BuildGLTree2DFEX.cpp, BuildGLTree2DFEX.m, DeleteGLTree2DFEX.cpp, DeleteGLTree2DFEX.m, GLTree2DFEX.cpp, GLTree2DFEX.h, license.txt, NNSearch2DFEX.cpp, NNSearch2DFEX.m, TestMexFiles.m )

说明：  使用软件的实现EQ均衡器算法，可以调节多段EQ(The realization of the use of software EQ EQ algorithm can adjust the multi-segment EQ)

说明：  假设每个延时单元延时10ms.被传输的基带信号x(t)是一个0，1交替变换的矩形二进制脉冲序列，脉宽为10ms，并假设x(t)通过一个稳定的散射信道后才到达均衡器，成为2径信号，这两路信号幅度相等 ，相隔15ms。用MATLAB实现一个2级LMS均衡器(equalizer)

各个函数的功能分别为求已知数据点的Lauguage,Akten,Newton,Gauss函数的插值多项式。(The function of each functional is how to caltulate the known numbers Lauguage,Akten,Newton,Gauss interpolation polynomials.)

双边滤波器，对彩色图像进行处理，效果非常好！(bialteral filter)

相控阵技术广泛应用于雷达、导航、声呐等领域，该文件为matlab及HFSS对相控阵的仿真，很经典(Phased array technology is widely used in radar, navigation, sonar and other fields, the file is matlab and HFSS simulation for phased array, classic)

pe to snr for bpsk when we use rectangular modulation on bw=0.025,0.05,0.1

数字信号处理LMS算法，处理输入信号与参考信号的误差，显示收敛曲线(LMS algorithm for digital signal processing, processing the input signal and reference signal of the error, shows the convergence curve)

实现主动频率偏移法的孤岛检测，利用matlab中的S-FUN编写(Frequency offset for active islanding detection method, using matlab written in S-FUN)

this is a very good text for matlab begginers. and this book gives information about ADAPTIVE FILTERING with using MATLAB.