人工势场法

基于MATLAB 的状态反馈极点配置函数设计，极点配置分析，全阶观测器设计分析(MATLAB-based state feedback pole assignment function design, pole placement analysis, design and analysis of full order observer)

说明：  实现lms实现lms实现lms实现lms实现lms实现lms(carry out lmscarry out lmscarry out lmscarry out lmscarry out lms)

find peaks in waveform

IMPORTANCE SAMPLING sIGNAL PROCESSING

matlab for compression

采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本，考察训练/测试错误情况。(The use of height and weight data as the characteristics of the assumption that the two were related or not related to the normal distribution probability density is estimated under the assumption that the establishment of Bayes minimum error rate classifier, the decision-making rules have been written, the classifier is applied to training/test samples to study the training/testing error conditions.)

MODULATOR This function modulate the forward Channel chips. Block Diagram InChips -> [Walsh] -> [Spreading] -> [Output Tx Shaping Filter] Inputs: chips - chips sequence to transmit MFType - Shaping Filter type (default - Rise Cosine) Walsh - Used row of Walsh matrix Outputs: TxOut - Transmitted signal (analog signal) PN - PN sequence for I/Q Channels MF - mathed filter taps (Shaping Filter)

Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided

mean filter . it takes image and calcultates mean from neighbourhood replaces

采用L-D算法，估算自回归模型（AR模型）系数。L-D法是一种矩阵递推估计法(LD algorithm to estimate the coefficients of the autoregressive model (AR model). The LD method is a matrix recursive estimation method)