Bounding-Box

对Lena图像128*128，进行QF=50和QF=40的压缩，然后解压缩，并分别计算压缩图像的PSNR，给出图像压缩后的图像(Lena image of 128* 128,QF=50 and 40 compression, then uncompress, and calculate the PSNR compressed image, after image compression)

无标度网络结构相对简单,实现算法与可视化并不困难。与其它语言相比,Matlab 语言具有丰富的数学 函数库,能够写出简约的源代码。对于非计算机专业的大学生来说,以此为基础,能够快速进入复杂网络前沿 研究课题,对其数学建模能力和科研能力的培养极为有益。(Scale-free network structure is relatively simple algorithm is not difficult and visualization. Compared with other languages, Matlab language with a rich library of mathematical functions, can be simple to write the source code. For non-computer science students is as a basis to quickly enter the complex network of cutting-edge research topics, their mathematical modeling and scientific research is extremely useful ability.)

Visual+C++与Matlab混合编程的研究与实现(Visual+ C++ and Matlab Research and Implementation of Hybrid Programming)

《信号与系统——MATLAB综合实验》配套资料谷源涛、应启珩、郑君里著，《信号与系统——MATLAB综合实验》，北京：高等教育出版社，2008年1月(" Signals and Systems- MATLAB comprehensive experimental" support information Gu Yuan Tao, should Kai Heng, Zheng Junli with, " Signals and Systems- MATLAB comprehensive experiment" , Beijing: Higher Education Press, January 2008)

对于matlab初学者一些很好的例子，里面有详细的求解过程和matlab代码可供复制编译。(Matlab beginners for some good examples, there are detailed solving process and compile matlab code for replication.)

基于MATLAB神经网络工具箱的BP网络实现，该本书对初学神经网络的读者应该比较有用。(Based on the MATLAB neural network toolbox of the BP network, the book for beginner readers neural network should be more useful.)

discreet continous, fir and step model matrix

Face recognition using ATT database and PCA with matlab s princomp function

本算法程序基于实测汽轮机振动信号进行了测试及性能分析。理论分析及仿真结果表明，AR模型谱估计算法在阶次合适的情况下，能够取得较好的方差及分辨力性能，适合于振动信号的功率谱估计，且AIC准则为确定合理的模型阶次提供了有效依据。(This algorithm based on the measured turbine vibration signal testing and performance analysis. Theoretical analysis and simulation results show that, AR model spectrum estimation algorithm in appropriate circumstances the order, the variance can achieve better performance and resolution, suitable for vibration signal power spectrum estimation, and the AIC criterion to determine a reasonable model order provides an effective basis.)

includes various matlab files for didfeent smart antennas configurations