matlab7.0materondisk

深度学习中自动编码器，对象为手写体识别应用，希望可以一同研究学习(Deep Learning AutoEncoder)

Introduction to using Simulink in MatLab

用单纯形法求解线性规划 用完整单纯形法求解线性规划 用修正单纯形法求解线性规划 (Complete simplex method for solving linear programming using the simplex method for solving linear programming using the revised simplex method for solving linear programming)

在MATLAB中将seg-y格式的读入，并可以进行SEG-Y与asc2的转换以及加地震道头等操作(Seg-y in the MATLAB format will be read, and can SEG-Y and asc2 the conversion and operation of additional seismic top)

编写的一个随动系统的kalman的平滑算法；(Prepared by a smoothing algorithm based on kalman)

两个站点的测向交叉定位的三维GDOP仿真(triangle GDOP)

利用卡尔曼滤波进行多目标跟踪的几个简单示例程序，希望对大家有帮助哦(Kalman filter for multi-target tracking simple example program, we want to help, oh)

the attached utility is a work I ve submitted to the university It shows what a jpeg compression is all about. the function implements the DCT transform, using a matrix operator. note that matlab has a function for the DCT and iDCT transforms that might be more efficient.(the attached utility is a work I ve submitted to the universityIt shows what a jpeg compression is all about.the function implements the DCT transform, using a matrix operator.note that matlab has a function for the DCT and iDCT transforms that might be more efficient .)

audio and speech compression,image restoration,ezw tree using trellis codes

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)