Rosenbrockfunc

高速跳频，调制样式为DPSK(DPSK/FH)，包括信号的发射接收模型，自己写的代码，仅供参考。(High-speed frequency hopping, modulation pattern for DPSK (DPSK/FH), including the launch of signal reception model, write your own code, for reference purposes only.)

线性调频信号是一种雷达常用的电磁波信号，当雷达信号检测到目标时候，反射后得到雷达回波信号，此时由于多普勒效应，信号的频率发生偏移，这个源码仿真出雷达检测到目标加速度信息的回波信号。(LFM signal is a commonly used electromagnetic radar signal, when the radar signal detection to the target time, after reflection of radar echo signal, at this time due to Doppler effect, the signal)

说明：  读取图像lena.tif，进行DCT变换，每个图像块保留10个DCT系数进行重构图像，比较重建图像与原始图像的差异。(Read the image lena.tif, the DCT transform, each image block of 10 DCT coefficients to retain the reconstructed image, reconstructed image compared with the original image differences.)

srtm是美国nasa指定的精度为90米的全球高层数据，函数srtmshow可以利用matlab读取这样的数据，并且以mesh的形式显示他们。用法：srtmshow（‘c:/.../XXX.ttf’,60,70,60,70）。表示读取文件XXX.ttf中横向60 -70 ，纵向60 -70 的数据并显示他们。 (srtm the United States designated the accuracy of nasa' s global top 90 m data, the function srtmshow can use matlab to read this data and to display them in the form of mesh. Usage: srtmshow (' c :/.../ XXX.ttf' , 60,70,60,70). That read the file XXX.ttf 60 -70 in the horizontal, vertical 60 -70 of the data and display them.)

一个chirp信号，用来描述连续震动的正弦函数。(A chirp signal, which is used to describe the sine function of continuous vibration.)

说明：  Landau, Ioan D. Digital control systems : design, identification and implementation. - (Communications and control engineering)

均匀线阵方向图形成，包含没有波束指向和30°波束指向，加切比雪夫权值（旁瓣幅度相同）(Uniform linear array pattern formation, with no beam pointing and 30 ° beam pointing, Gache Chebyshev weights (the same side-lobe amplitude))

说明：  采用白噪声作为输入，最小二乘算法，并用于求解丢潘图方程(Using white noise as input, least squares algorithm, and graph equations for solving lost Pan)

This is a compilation of programming hints and examples about how to use and program MAT- LAB, with a mind on numerical methods. At present time, this is work in progress, so it s important to know which version of this document you are dealing with. There will not be detailed explanations of the examples: I will specically concentrate on where I think you might have trouble or you might be learning something new.

bp神经网络，用于拟合函数，数据融合方面的应用，可以通过训练网络来达到拟合所需数据的目的(bp Neural network)