san_D_SNR_music

Reconocimiento de rostros

多主用户网络CR中动态频谱接入策略,使最小用户接入策略最大化。(Multi-user network CR main dynamic spectrum access strategy to maximize the minimum user access policies.)

说明：  关于无线通信系统中接收端的turbo均衡的matlab程序代码(Wireless Communication System on the receiving end of the turbo balanced matlab code)

说明：  基于MATLAB的人脸检测，对初学者和相关人员有帮助的(MATLAB-based face detection, and associated personnel for beginners help)

随机信号分析实验之白噪声测试，白噪声信号的特性，包括均值、方差、相关函数、概率密度、频谱及功率谱密度等。( White noise of test random signal analysis experiment, white noise signal characteristic, including average value , variance, correlation function, probability density, frequency spectrum and power spectral density and so on. )

Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * linear equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and singular values, * partial di?erential equations.(Numerical Computing with MATLAB (by Cleve Moler) is a textbook for an introductory coursein numerical methods, Matlab, and technical computing. The emphasis is on in-formed use of mathematical software. We want you learn enough about the mathe-matical functions in Matlab that you will be able to use them correctly, appreciatetheir limitations, and modify them when necessary to suit your own needs. Thetopics include* introduction to Matlab,* linear equations,* interpolation,* zero and roots,* least squares,* quadrature,* ordinary di? erential equations,* random numbers,* Fourier analysis,* eigenvalues and singular values,* partial di? erential equations.)

说明：  蒙特卡罗方法可以有效地解决复杂的工程问题，而MATLAB具有强大的数值计算功能。将二者结合使用，可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。 (Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, can be cost-effective solution to the problem. This paper describes the methods and examples of the method to verify the correctness and superiority.)

使用最大最小距离进行分群的方法，针对风电场分群进行设计，也可以用于其他分群方法，优点在于可以自动确定分群数量(Using the maximum and minimum distance clustering method for clustering the wind farm designed to be used for other clustering methods, the advantage that it can automatically determine the number of grouping)

MATLAB编写的利用u律函数实现的抑制OFDM峰均比的程序，程序通过运行，通过u率函数对信号压扩后，PAR明显降低(U law written by MATLAB functions for OFDM PAPR suppression program, the program by running through the u signal compression and expansion rate after the function, PAR was significantly lower)

MATLAB+7_0混合编程，和C及C++等的共同开发(MATLAB+7 _0 hybrid programming, and C and C++, etc. to develop)