Jdsvm

pattern classification homework 3

说明：  此模型为双向DCDC，可用于电池充放电，燃料电池升降压模拟等。采用PWM控制IGBT管占空比。可直接运行，在其基础上修改简单(This model is a bidirectional DCDC, which can be used for battery charging and discharging, fuel cell buck-boost simulation. PWM control of the IGBT tube duty cycle. Can be run directly, modify it on the basis of simple)

自适应信号处理，最终的权值矩阵就是滤波器的系数，学习曲线描述其收敛特性(Adaptive signal processing, the final weight matrix is the filter coefficient, the learning curve to describe the convergence properties)

用MATLAB仿真MEMS用斩波放大器对有色噪声的抑制作用(MATLAB troper noise)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

用mallat分解与重构算法实现一维信号的分解和重构(Mallat decomposition and reconstruction algorithm used to achieve one-dimensional signal decomposition and reconstruction)

说明：  在MATLAB环境下用PM算法进行的带通滤波器设计(In the MATLAB environment using the PM algorithm bandpass filter design)

2PSK和 2DPSK信号的调制与解调性能比较分析(Comparative analysis of modulation and demodulation performance and 2DPSK signal 2PSK)

模糊聚类算法，K-means and K-medoid algorithms，Fuzzy C-means algorithm，The Gustafson{Kessel algorithm，The Gath{Geva algorithm(Fuzzy clustering algorithm, K-means and K-medoid algorithms, Fuzzy C-means algorithm, The Gustafson (Kessel algorithm, The Gath (Geva algorithm)

Artificial Bee Colony Optimisation Algorithm