stft

LDPC 码matlab程序 ，可用matlab直接运行，输出为BER曲线(LDPC code matlab program, matlab can be used directly to run, the output for the BER curves)

电子书，专门介绍matlab的mapping制图工具箱mapping toolbox.pdf(E-books, dedicated to matlab toolbox of mapping mapping mapping toolbox.pdf)

跳频（占空比为1）2fsk的部分频带干扰误码率计算，这个程序是基于matlab的，自己编的，呵呵(Frequency Hopping (duty cycle 1) 2fsk the partial band interference bit error rate, this procedure is based on matlab, and their series, Oh)

用最优化方法解决最优化问题的技术称为最优化技术，它包含两个方面的内容： (1)建立数学模型，即用数学语言来描述最优化问题。模型中的数学关系式反映了最优化问题所要达到的目标和各种约束条件； (2)数学求解，数学模型建好以后，选择合理的最优化方法进行求解。 (With optimization method to solve the optimization technology, called the optimum technology, it contains two aspects: (1) established the mathematical model, which is the mathematical language to describe the optimization problem. Model of the mathematical relationship reflects the optimal problem to achieve and all constraint conditions (2) solving mathematics, mathematical model built after, choice of reasonable solution of the optimization method.)

说明：  浅层海洋环境由信源组成声源，海洋形成信道，和水听器阵列组成接收器。在这个传播模型中，信源，信道和接收信号这三者，通常能知二求一，具体应用诸如利用海洋环境参数和接收到的信号来定位声源，或者通过计算发射信号和接收信号之间的差异，反演海洋环境参数。 而在接收器方面，我们通过设置各向同性的水听器阵列。通过算法和处理器，我们便能量化模型，传统是处理器主要基于接收信号是高斯信号，而海洋中存在着大量的有色噪声。本课题的研究目的便是在前人的基础上，在海洋声层析成像的背景下，在信源与接收器阵列之间，引入信号的高阶统计量，对非高斯过程的水下信号源进行定位，并提高算法的性能和准确性。 利用非高斯过程的高阶累积量不恒为零的特点，滤去高斯有色噪声对信号的影响，其又包含了信号的相位信息，便可以极大的优化匹配场处理过程的性能和准确性。(After receiving signals based on high order cumulant matched field processor after matched field localization, the positioning effect will be more accurate, sidelobe suppression more effectively, and compared with other traditional matched field processor in low SNR environment, it can position more accurately.)

用于海浪波形生成的matlab程序(Waveform for the waves generated by matlab program)

simpower sync_machines. in matlab

风力发电系统的仿真模型，simulink搭建，直观简单(simulin of wind energy control system)

个人编写的DOA估计波束空间MUSIC算法源程序(Personal prepared beam-space DOA estimation algorithm for source code MUSIC)

最新台湾中央大学HHT程序；包含一个实例，EMD工具和EEMD工具；可以求瞬时频率(A few examples of how to use these programs are given, with a given dataset “gsta.dat”, which is the annual mean global surface temperature anomaly. In “gsta.dat”, the first column is the time and the second is the corresponding data value.)