step-function

不同信噪比情况下的能量检测方法的检测概率(energy detection)

文件夹为Matlab编写的油藏数值模拟单相渗流所需要的作业文件,每个函数文件中均有详细的函数说明和代码示例(The File concerns about the homework regarding Single Phase of Reservoir Simulaiton, Each of text file consists of detailed description and example)

说明：  用7次多项式进行机器人关节空间的轨迹规划(The trajectory planning of robot joint space is carried out by using 7 degree polynomial)

Optical Charactor Recognition

this file is based on matlab simulink for adptive control the sisp plants.

基于麦克风阵列的声源定位方法很多，相位变换加权的可控响应功率SRP-PHAT声源定位算法在混响环境中有较强的鲁棒性，可实现真实环境中的声源定位，因此该算法得到了广泛应用。SRP-PHAT对阵型没有特定要求，因此也适用于分布式阵列，事实上很多基于分布式阵列的定位系统采用了该算法。(This function creates an acoustic image from a set of microphone array signals using a steered response power (SRP algorithm).This particular version uses only integer shifts on the input signals for the delay and sum operation, and computes the coherent average power (rather than total average power), which does not include the power terms for each individual microphone signal. So the coherent power is effectively the cross-correlation between different microphone signals without the self power terms, and can therefore be negative.)

提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 (Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur.)

Load frequency Control

Hidden-Unit Conditional Random Fields 工具箱，可以用于训练linearCRF和和L.J.P. van der Maaten, M. Welling 提出的huCRF(We provide Matlab code that implements the training and evaluation of hidden-unit CRFs, as well as code to reproduce the results of our experiments. The code implements four different training algorithms: (1) a batch learner that uses L-BFGS, (2) a stochastic gradient descent learner, (3) an online perceptron training algorithm, and (4) an online large-margin perceptron algorithm. The code can also be used to perform (conditional) herding in hidden-unit CRFs. )

单输入单输出模型预测控制算法实现--一般实现，逆响应和线性规划(SISO model predictive control- a general approach, inverse response and linear programming)