Simple-Function-Approximation

on Neuro Fuzzy edge detection

This file contains optimization codes

风向驾驶模型,让驾驶员在驾驶过程中遇到的风速进行仿真。(Wind driving model, so that the driver in driving wind encountered during simulation.)

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.)

sliding mode control 5

uwb A Framework for UWB-Based Communication and Location Tracking Systems for Wireless Sensor

曲线标注程序是MATLAB的一个源程序！CURVE NOTING (curve tagging procedure is a source of MATLAB! CURVE NOTING)

（1） 数据源：随机产生752*8bit作为数据源 （2） 按照DTMB的能量扩散初始相位和生成多项式来产生伪随机数据并对原始数据源进行加扰 （3） 加扰后的数据直接进行解扰，观察误码率的值，验证加扰算法 （4） 按照DTMB标准构造BCH（1023，1013）来实现BCH（762，752）信道编码器和解码器，并观察其误码率是否为0来验证其正确性。 （5） 最后把能量扩散和BCH编码级联，接收端把BCH解码和解扰级联，观察其误码率，验证正确性。 ((1) Source: randomly generated 752* 8bit as data source (2) in accordance with the energy of the initial phase and the diffusion DTMB generator polynomial to generate a pseudo-random data and the original data source scramble (3) the scrambled data is directly descramble, the bit error rate of the observed values, verification scrambling algorithm (4) In accordance with DTMB standard configuration BCH (1023,1013) to achieve the BCH (762,752) channel encoder and decoder and observe its error rate is 0 to verify its correctness. (5) Finally, the energy dispersal and BCH coding cascade, the receiving end of the BCH decoding and descrambling cascade observed error rate, to verify the correctness.)

毕业论文 FIR滤波器的设计 毕业论文 FIR滤波器的设计(FIR filter design thesis)

chebyshev滤波器，更具需要设计高通低通带通chebyshev滤波器(chebyshev滤波器)