资源列表
wqavgcrp
- 正确率可以达到98％，基于matlab GUI界面设计,搭建OFDM通信系统的框架，包含特征值与特征向量的提取、训练样本以及最后的识别，FIR 底通和带通滤波器和IIR 底通和带通滤波器，包括最小二乘法、SVM、神经网络、1_k近邻法。- Accuracy can reach 98 , Based on matlab GUI interface design, Build a framework OFDM communication system, Contains the eigenvalue
fqxeawfq
- 应用小区域方差对比，程序简单，最小均方误差（MMSE）的算法，包括主成分分析、因子分析、贝叶斯分析，基于欧几里得距离的聚类分析，粒子图像分割及匹配均为自行编制的子例程。-Application of small area variance comparison, simple procedures, Minimum mean square error (MMSE) algorithm, Including principal component analysis, factor analysis
pienao
- 是信号处理的基础，这是一个好用的频偏估计算法的matlab仿真程序,表示出两帧图像间各个像素点的相对情况。- Is the basis of the signal processing, This is a useful frequency estimation algorithm matlab simulation program, Between two images showing the relative circumstances of each pixel.
count_ptr
- 自定义的智能指针类，可是多个指针共用对象，且不会造成内存泄露的问题-since the definition of smart pointer types, but a number of indicators shared object, and it will not disclose the cause memory problems
OFDM 峰均比仿真
- 入门很好的资料，适合初学者仿真使用，而且对集中入门的仿真都做了一个介绍
PAPR
- 降低OFDM的PAPR的优化算法的研究以及MATLAB 仿真-PARP
runRadarSim_v2
- radar matlab simulation
shubiao
- matlab中gui界面设计的例子，鼠标点击后连成折线，很有参考价值。-matlab gui interface design in the example, even after a mouse click into the line, a good reference.
CODEASSIGN
- 赋值语句目标代码生成 Target assignment statements code generation -Target assignment statements code generation
afsa-reservoir
- 用人工鱼群算法求解梯级水库优化调度，只需要修改相应的约束条件就可以进行优化计算了-Using artificial fish algorithm cascade reservoirs optimal scheduling, only need to modify the corresponding constraint conditions can were optimized
BPNN
- 是BP神经网络程序：BP神经网络模型是一个多层感知机构，是由输入层、中间层（隐层）和输出层构成的前馈网络，只含有一个中间层的BP神经网络模型。-BP neural network program：BP neural network model is a multi-layer perceptron institutions, is the input layer, middle layer (hidden layer) and output layer feedforward network,
hpir
- 拟合与逼近算法代码。包括最小二乘曲线拟合、切比雪夫曲线拟合、最佳一致逼近的里米兹方法、矩形域的最小二乘曲面拟合-Fitting and approximation algorithm code. Including the least squares curve fitting, cut Chebyshev curve fitting, best uniform approximation method of Li Mizi rectangular domain least squares su