AGuideToTheFFT_2ndEd

现在的雷达都是在多脉冲观测的基础上进行检 测的，多个脉冲积累后可以有效地提高信噪比，从 而改善雷达的检测能力。积累处理可以在包络检波 前完成，称为检波前积累或者中频积累。信号在中 频积累时要求信号间有严格的相位关系，也就是说 信号是相参的，所以也称为相参积累。此外，积累 过程可以在包络检波后完成，称为检波后积累或者 视频积累。由于信号在包络检波后失去了相位信息 而只保留了幅度信息，所以检波后积累处理就不需 要信号间有严格的相位关系，因此这种积累又称为 非相参积累。实现非相参积累的方法有很多，例如 抽头延迟线积累（FIR 积累）器和反馈积累器。 ()

实现三维定位，利用chan算法与taylor算法想结合的方法，减小了定位误差(Three-dimensional positioning, would like to combine the use of the chan algorithms and taylor algorithm method to reduce the positioning error)

一种盲源分离的联合对角化算法源代码，可以用来盲源分离多信号混叠和特征提取(A blind source separation algorithm for joint diagonalization source code, can be used to blind source separation and multi-aliasing feature extraction)

使用matlab进行hough变换，细节原码，并有输出显示(Use of matlab hough transform, detail of the original code, and output display)

Hybrid PV-wind generation shows higher availability as compared to PV or wind alone. For rural electrifications, researches are focused on hybrid power system which provides sustainable power. The variable voltage and frequency of the self excited induction generator (SEIG) is rectified through Vienna rectifier (three switches) to the required D.C voltage level and fed to common D.C bus. The variable output voltage of PV module is controlled by DC/DC converter using proposed fuzzy logic controller and fed to common D.C bus. The DC bus collects the total power from the wind and photovoltaic system and used to charge the battery as well as to supply the A.C loads through inverter. A dynamic mathematical model and MATLAB simulations for the entire scheme is presented. Results from the simulations and experimental tests bring out the suitability of the proposed hybrid scheme in remote areas.

基于MATLAB的LDPC码的性能仿真，包括H矩阵高斯消元变换方式、下三角形式和近似下三角形式三种(Performance simulation of LDPC code based on MATLAB, including three kinds of H matrix Gauss transform method, lower triangular form and lower triangular form)

非线性方程组的求解算法，里面还有MATLAB编程实现的程序(Nonlinear equations of the algorithm, along with MATLAB programming procedures)

program related to gui, simulik and application

HISTNORM Histogram normalized [...] = HISTNORM(...) works like HIST, but the frequency is normalized so that area sum is 1. Bonus usage! [...] = HISTNORM(..., plot ) plots and returns the output arguments. Be sure plot is the last argument. Example: data = randn (10000, 1) [xo,no] = histnorm(data, 101, plot ) hold on plot (no, normpdf(no), r ) hold off See also: HIST.

Entropy is a thermodynamic property that can be used to determine the energy available for useful work in a thermodynamic process, such as in energy conversion devices, engines, or machines. Such devices can only be driven by convertible energy, and have a theoretical maximum efficiency when converting energy to work. During this work, entropy accumulates in the system, but has to be removed by dissipation in the form of waste heat.