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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

本资料为个人matlab编程的圆阵波束形成算法仿真，包括窄带信号和宽带信号，同时分别提供了时延波束形成、相移波束形成和频域波束形成三种算法。程序完整、调试通过、可运行得到输出。(This information is for personal matlab programming circular array beamforming algorithm simulation, including narrowband signals and wideband signals, respectively, while providing a time delay beamforming, phase shift beamforming and frequency domain beamformer three algorithms. Program integrity, debugging through, you can run to get the output.)

在matlab中绘制Logistic混沌示意图的代码(Draw the the Logistic chaos schematic code in matlab)

本文件包括matlab 仿真内容 有 四阶龙库格 函数仿真 等(This document contains the contents of matlab simulation of fourth-order function of simulation cell Long Library)

grid lab grid mat code for power system analysis

c++ 通用弹道仿真计算程序(经典版)lalalalla(C dandaofangzhenchengxudfdfdfdfdf)

The receiver performance is quantified by depicting the receiver operating char- acteristics (ROC) curves. This curves serve as a tool to and study the performance of a sensing scheme. ROC graphs are employed to show trade-of vs between detection probability and false alarm rates, (i.e. PD versus PFA), thus allowing the determination of an optimal threshold. To illustrate the performance of energy detectors, we generate complementary ROC curves (the average probability of miss detection $ P_{md} 1 - P_d$ versus the false alarm probability $P_f$ for different receiver structures and in different fading environments.Fig. 1 illustrates the complementary ROC curves for a single channel reception (no diversity) over AWGN channels. This figure depicts the complementary ROC curves for energy detectors.

前五阶第一类贝塞尔方程函数曲线，M为阶数，z为自变量。(The first five order first class Bessel equation function curve, M is the order, Z is the independent variable)

AR模型参数估计，Kalman和Wiener滤波器设计(AR model parameter estimation, Kalman and Wiener filter design)

《matlab智能算法30个案例》书第7章的源代码(the source code of the seventh chapter of the book Matlab intelligent algorithm in 30 case )