knn

飞机设计的控制算法，为设计提供依据。程序为本人编写，不要外传(Aircraft design control algorithms, provide the basis for the design. I write procedures, not rumors)

说明：  ESPRIT 方法解决线性阵列的doa估计问题，希望分享大家(ESPRIT method to solve linear array of doa estimation, I hope to share)

OFDM仿真包括同步、信道估计、峰均比控制的相关算法(OFDM simulation, including synchronization, channel estimation, the correlation peak than the control algorithm)

说明：  MALAB中进行控制系统设计需要产生各种特殊模拟信号，此M文件给出相关信号的产生方法。(MALAB in control system design need to generate a variety of special analog signal, the M document given signal, the method of correlation.)

BPSK_BER_GAIN_OFDM Phase Shift Keying

BUCK电路，具有先恒流在恒压的功能，采用双环控制(BUCK circuit, with the first constant current constant pressure, double-loop control)

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)

高性能的话音激活检测算法，适应性很强，具有较好的实际使用性能，可以获得很好的使用效果。(High-performance voice activity detection algorithm, adaptable, good practical use, you can get good use of effects.)

dc/dc boost converter

this matlab code is calculating the maximum value of the luminous efficacy