pso1

Turbo Convolution Code

使用神经网络实现了异或的功能，代码为matlab代码，输入为二维数组，输出为一个数，训练样本为异或的四种情况，结果误差为1e-010,(Using a neural network to achieve the XOR functions, code for matlab code, enter a two-dimensional array, the output is a number of training samples for exclusive or four cases, the result error is 1e-010,)

matlab编写的视频监控采集和目标提示软件，请批评指正！！！(matlab prepared video surveillance and target acquisition software tips, please criticism! ! !)

（1）变换模块 本模块包含两部分内容：利用 反变换规则将 坐标系下的两相电流转换成三相电流；利用间接矢量控制，得到转子角位移，公式如下（2） 电流滞环控制器(Hysteresis current controller)模块（3） 电压源型逆变器(Voltage sourse inverter,VSI)模块 （4） 变换模块（5） 感应电机(IM)模块 该感应电机模型是基于交流电机的电路方程、转矩方程以及运动方程建立起来的。该仿真模块为一个三输入、六输出的系统子模块。输入为 坐标系中定子电压，输出则是 坐标系中的转子电流和转子磁链，以及输出的转矩。（6） 电流反馈模块（7）速度控制器模块 ()

说明：  通带截止频率 =2 4k rad/s，阻带截止频率 =2 8k rad/s，通带波纹系数 =0.3dB, 阻带波纹系数 =50dB,采样频率fs=20000Hz。(The digital filter are the digital signal processing important content, the digital filter may divide into IIR and the FIR two main kinds. As for the IIR digital filter design, we need the help of analog prototype filter, and then transform analog filter into digital filter.)

基于Matlab的最小二乘支持向量机的工具箱及其应用_李方方(The least squares support vector machine (SVM) based on Matlab toolbox and its application _ Li Fangfang)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

这个是关于TDOA的源程序，里面的文件，时间长了，也忘记都是干啥的，自己研究下借鉴(This is about the source of TDOA, inside the file, long time, and also forget are doing, their own research under the draw)

分析BPSK在对数长距离、对数正态阴影模型中的误码率，以及在ITU M多普勒效应下冲击响应与多径增益。程序为已提交作业，可直接运行。(In the analysis of several long-distance BPSK, lognormal shadow model error rate, as well as multi-path impulse response and gain at ITU M Doppler effect. Program has been submitted for the job can be run directly.)

09年大学生数学建模比赛D组题，该作品获得专科组国家二等奖(2009 Mathematical Modeling Group D title game, the work received the second prize specialist group of countries)