case_study_4

Plot your multichannel data despite of being real or complex in Matlab. Mreshape reshapes your 3d data by your desired arrangment. Mreshape4 reshape your 4d data

This approach has potential for major improvements in our ability to estimate the impulse response of the Earth, particularly for P waves reflected from the free surface and returned as an equivalent to the plane-wave reflection response. (This approach has potential for major improvements in our ability to estimate the impulse response of the Earth, particularly for P waves reflected from the free surface and returned as an equivalent to the plane-wave reflection response.)

说明：  MATLAB经典书籍 moler编著，采用MATLAB的数值计算方法。(Classic books moler compiled MATLAB, using MATLAB numerical method.)

full DSB-SC Modulation- Demodulation Process. The input arguments are given below: • Input Signal Frequency: 10Hz • Carrier Frequency: 15Hz • Sampling Frequency: 100Hz

Elman神经网络的数据预测—电力负荷预测模型研究(neural network data test,research of electric power)

说明：  带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助(Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.)

说明：  实现无线传感器网络定位DV-Hop算法的matlab源码(Wireless sensor network localization DV-Hop algorithm matlab source)

These are a few more examples on MATLAB

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.)

C-C方法计算时间延迟和嵌入维数 主程序：C_CMethod.m, C_CMethod_independent.m 子函数：correlation_integral.m(计算关联积分) disjoint.m(将时间序列拆分成t个不相关的子序列) heaviside.m（计算时间序列的海维赛函数值）(CC method to calculate the time delay and embedding dimension of the main program: C_CMethod.m, C_CMethod_independent.m subfunction: correlation_integral.m (computing association Points) disjoint.m (time-series split into t unrelated promoter sequences) heaviside.m (calculation of time-series the Hedwig match function value))