ACATSP

说明：  这是一个基于模糊控制的温度控制的系统matlab仿真程序(This is a fuzzy control based on temperature control system simulation program matlab)

基于梯度下降法的SVM的实现。适合初学者(Gradient descent method to achieve SVM. Suitable for the news.)

用粒子群算法（PSO）优化样本再拟合函数找出最大值(Using Particle Swarm Optimization (PSO) to find optimal maximum sample and then fitting function)

％％％ Demos for PUMA algorithms ％％％ We present four matlab demos for PUMA. demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images. All you need to do is to run each of the demos. Please be sure that all the files are put on an accessible path for matlab. Notice that this code is intended for research purposes only. For further reference see "Phase Unwrapping via Graph Cuts, IEEE Transactions on Image Processing, 2007( Demos for PUMA algorithms We present four matlab demos for PUMA. Demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images.All you need to do is to run each of the demos . Please be sure thatall the files are put on an accessible path for matlab.Notice that this code is intended for research purposes only.For further reference see )

说明：  清华大学信号处理原理课程实验，内容是各种卷积计算方法性能的比较(Tsinghua signal processing theory course experiment, the content is the convolution calculation methods compare the performance of)

这是一个自动控制领域确定性自适应控制算法的MATLAB源程序(This is an automatic control algorithm for deterministic adaptive control MATLAB source code)

matlab应用实例，对于一个电路图，应用matlab仿真解题，求出电路某支路电流及波形(matlab application example, a circuit diagram for the application of problem-solving matlab simulation, find a branch circuit current and waveform)

说明：  自适应滤波算法与实现_Matlab程序，基础的程序算法(_Matlab Adaptive filter algorithm and implementation procedure)

说明：  仿真一个瑞利衰落信道的信道冲激响应，横坐标是信道采样阶数，纵坐标是对应采样阶数的幅值.(Simulation of a Rayleigh fading channel the channel impulse response, the abscissa is the order of channel sampling, corresponding ordinate is the amplitude of the order of sampling.)

we developed a toolkit called PriVar, a systematic prioritization pipeline that takes into consideration calling quality of the variants, their predicted functional impact, known connection of the gene to the disease and the number of mutations in a gene, and inference from linkage analysis.