IDW

几种功率普计算函数：SNR，MSNR 输入参数为带躁信号和处理后信号，输出结果为对应的数值，具体参见文档说明(Several power Pu calculation function: SNR, MSNR impatient with the input parameters for the signal and processed signal, the output for the corresponding values, see the specific documentation)

code to get optical flow using normalized cross correlation

在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。(The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved.)

在ZF算法，MMSE算法和V-BLAST等算法下分析MIMO-OFDM系统的性能，并进行比较。(In the ZF algorithm, MMSE V-BLAST algorithm and other algorithms to analyze the performance of MIMO-OFDM system, and compared.)

用sobol方法计算基于方差的客观不确定性指标的程序。(Sobol method used to calculate the variance of uncertainty based on objective indicators of the program.)

Matlab官方文档：Matlab数学工具箱(Matlab official documents : Matlab Math Toolbox)

1. 对给定语料估计其基音周期。 要求用MATLAB语言实现有关基音检测算法，并给出检测结果。2. 实验语料：aoYiSheng.raw 发音：“茅以升”；时长0.9s；采样率：8kHz；量化精度为16bits/sample；数据格式 LSB,MSB分析帧长:20ms(160样点)总帧数：45(1. Corpus right to set its estimated Pitch. Asked to use MATLAB the pitch detection algorithm, and gives results. 2. Experimental corpus : aoYiSheng.raw pronunciation : "Mao Yisheng"; Time-0.9s; Sampling rate : gunfire; 16bits/sample accuracy of quantification; LSB data format, MSB analysis frame size : 20ms (160 samples) total frame count : 45)

A set of exercises for students - basics of digital modulation

高斯混合模型的em 内含源代码与例子和实验报告(Gaussian mixture model of the em algorithm)

一本详细介绍matlab功能的书，很适合初级的学习者，高手请绕行(A detailed introduction matlab function of the book, it is suitable for junior learners, experts please bypass)