DJ

matlab 龙卡库塔法描述线性连续系统并生成图像(Dragon Ka Kuta method described matlab linear continuous system and generate images)

wind power systems with permanent magnet generator in matlab

捷联惯导解算程序四元数法，对飞机航姿系统的简单化很重要。(SINS solver quaternion method, the simplicity of the aircraft AHRS is very important)

ofdm通信系统的设计与实现，simulink实现(Design and implementation of ofdm communication system, simulink realization)

this file is a simulation of constant maximum boost control in z_zource inverter

Constructs a new {@code ServerSocket} instance which is not bound to any port. The default number of pending connections may be backlogged.

 产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；  采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；  计算信号量化噪声比（SQNR）；  信道误码率为10-3；  解码，并画出u律反变换后的信号时域波形及频谱。 扩展要求：  采用均匀PCM、量化级数可变、信道误码率可变。 ( have a standard length of 1000 is too random signal distribution, draw time-domain waveform and frequency spectrum  u = 255 using the non-uniform PCM encoding, each symbol for 8bit, drawing input- output relationship diagram  calculated quantization noise signal than (SQNR)  channel bit error rate of 10-3  decoder, and law to draw u the signal after the inverse transform time-domain waveform and frequency spectrum. Expansion of the requirements:  uniform PCM, quantization level variable, a variable channel bit error rate.)

采用时频聚集性较好的线性调频信号作为线性时不变系统输入激励，采用Gabor字典作为过完备原子库。在利用传统系统辨识法之前先利用稀疏分解算法将输出信号进行去噪处理，显著提高系统辨识精度。 具体包括互谱算法，信号的Gabor稀疏分解的详细代码(Space can be a time for sparse decomposition to solve the problem of huge memory needed。This approach, combined with the rapid decomposition of FFT for signal ,so as to achieve satisfactory results.)

使用matlab编写了NRTL方程，用来计算化学工程中的相平衡(NRTL equation which can be used to predict or regress the phase equilibria.)

MUSIC(Multiple Signal Classification)算法是Schmidt在1979年首先提出的，是早期经典的超分辨率DOA估计方法(即超瑞利限的方法)，属特征结构的子空间方法。(MUSIC (Multiple Signal Classification) algorithm is Schmidt first proposed in 1979, is an early classic super-resolution DOA estimation methods (ie, super-Rayleigh limit of the method), is a characteristic structure of the sub-space method.)