youhua

设计一个切比雪夫滤波器，要求通带截止频率 ，通带最大衰减 ，阻带截止频率 ，阻带最小衰减 。要求绘出滤波器的幅频特性曲线。(Design a Chebyshev filter, the passband cutoff frequency required, the maximum passband attenuation, stopband cutoff frequency, stopband minimum attenuation. Requirements of the filter amplitude-frequency characteristic plotted curve.)

I need estimation channel MIMO-OFDM because I do synchronous CFO and SFO by tracking algorithm Obelix

PSO_A Alogrithm ,Hybrid particle swarm-based-simulated annealing optimization algorithm

这是关于微电网的，一个微电源电池储能单元，采用下垂控制方法，另一个微电源光伏单元，采用PQ控制方法。(This is about the micro-grid, a micro-power battery energy storage unit, using the droop control method, another micro-power photovoltaic cells, using the PQ control methods.)

说明：  对指纹进行处理，指纹识别，带有GUI界面，但是需要付费才能得到代码(Fingerprint processing and fingerprint recognition)

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

it is a matlab program that describes DVB-S channel and simulation of Viterbi decoding

MATLAB FFR THIS IS GOOF FILE I THOUGHT

Very simple matlab code for QAM modulation

Deal about important blob tracker