kalmantheoryandsimulation

Some program for signal processing

说明：  matlab遗传算法的程序，希望能够对大家有用处！(Matlab GA procedures, we hope to be able to be useful!)

现了fisher线性分类器的功能,源码使用matlab编程(Is the fisher linear classifier functions, the use of matlab programming source code)

It s about 3d 3D DIPOLE ANTENNA DESIGN.

在matlabR2009b的环境下实现了定点覆盖近似算法。。。(The matlabR2009b environment to achieve coverage of the fixed-point approximation algorithm. . .)

這是一個類神經網路中倒傳遞類神經網路，應用於圖形識別上，可以把兩個不同分類的點，藉由BP找出他的分割線進行區分(This is a type of neural network back-propagation neural network applied to pattern recognition, it can be classified into two different points, by BP to find his distinction between partition lines)

卫星云图查看源码，实现了每半小时获取卫星图，获取云图列表，可自动播放，有两种选择(View satellite images realized every half hour to obtain satellite images, access cloud list, you can automatically play, two options.)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

说明：  基于MATLAB的信号处理，2FSK的产生和解调(Signal processing based on MATLAB, generation and demodulation of 2FSK)

一种低复杂度的比例资源分配算法，包括原论文以及详细的matlab仿真程序(A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems)