youhua1

不考虑多径干扰时在高斯白噪声和瑞利衰落信道条件下QPSK的调制解调过程， 并采用准分析法完成误码性能的计算。仿真过程包括仿真信号产成，滤波器设置，QPSK调制，加入高斯白噪声，通过锐利信道衰落，QPSK解调，误码率计算等几部分(Not consider multi-path interference at the white Gaussian noise and Rayleigh fading channel under the conditions of the QPSK modulation and demodulation process and the use of quasi-analysis method to complete the calculation of BER. The simulation process includes the middle class into a simulation signal, filter settings, QPSK modulation, by adding Gaussian white noise, through the sharp decline in channel, QPSK demodulation, bit error rate calculation and other parts)

salam how are you wha about you when you are applay to me to use the code

newmark法求解振动问题，按照清华出版的张义民的教材编的(newmark method to solve vibration problems, according to published Qinghua Zhang Yimin textbooks compiled)

说明：  流水线车间生产调度的遗传算法 用MATLAB实现(The line workshop production scheduling genetic algorithm in MATLAB)

说明：  基于matlab语言的针对33节点电力系统的电压初始值程序(Based on matlab language for 33 node power system voltage initial value program )

说明：  DS-CDMA通信系统仿真程序——包括扩频码的产生，发射机、接收机及性能分析等(DS-CDMA Communication System Simulation Program- including the spread spectrum code generation, transmitter, receiver and performance analysis)

独立分量分析的概述，有利于初步的接触独立分量分析，(Overview of independent component analysis, which is beneficial to the initial contact independent component analysis, )

学习结构动力学newmark法的简单程序，单自由度和受迫振动(A Simple Program for Learning the Newmark Method of Structural Dynamics, Single Degree of Freedom and Forced Vibration)

一个程序关于车牌检测的识别，之中包括图像的一系列处理，预处理、图像灰度化、二值化、腐蚀等等(solve about edge!)

mbedded Zerotrees of Wavelet transforms (EZW) is a lossy image compression algorithm. At low bit rates, i.e. high compression ratios, most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). The locations where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.