STBC_2Tx_1Rx_Rayleigh_16PSK_Pe

说明：  基本的粒子滤波算法，所用数值模型为带控制量的非线性模型，可修改噪声类型，并可和EKF相比较(Basic particle filter algorithm for the numerical model used to control the volume with the non-linear model, can modify the type of noise can be compared and the EKF)

readprecipfile is a function which will take an input data file measured in inches and convert each element of the file into centimeters. It will return the converted elements in the form of an array.

计算Erlang B,C 模型中阻塞率与输入负载随服务器数量变化的数值关系并绘图。 模拟一个M/M/k排队系统。 该资料为通信系统排队理论matlab实验内容。(Using the iterative scheme, calculate the blocking probability of the Erlang B and C model. Draw the relationship of the blocking probability and offered traffic while sever number varies. Simulate a M/M/k queue system with input parameters of λ, μ, k)

说明：  该资料主要讲matlab编程技术，内容不错，适合初学者学习。(The information is mainly talk about matlab programming, content, good, suitable for beginners to learn.)

Many synthetic aperture radar (SAR) image formation algorithms require the computation of a multidimensional Fourier transform of irregularly-sampled or unequally-spaced data samples. We apply a recently developed algorithm, the unequally-spaced FFT (USFFT),2 to SAR image formation and compare its accuracy and complexity to a conventional algorithm. We find that the USFFT algorithm allows comparable accuracy to traditional approaches at a slightly reduced computational cost. We briefly discuss extensions of the USFFT algorithm to multiresolution SAR imaging

说明：  MATLAB7.x数字信号处理 电子文档和代码，里面包含雷达信号方面的处理(《MATLAB7.x digital signal processing》 electronic documents and code, which contains radar signal processing)

Understanding LTE with MATLAB: From Mathematical Modeling to Simulation and Prototyping

说明：  用fft进行特征提取，并画出相应的图。再进行神经网络分类(FFT is used to extract features and draw corresponding graphs.)

这个程序是关于多元峰值函数的的例程，新手和老手都会从中得益。(This process is about the multi-peak function of the routines, and newcomers and old hands will benefit from it.)

simulink应用实例，基于MATLAB6.5系列(Simulink application examples, based on a series of MATLAB6.5)