SA

基于matlab的新型信号处理算法集。包括模拟退火、遗传算法、反向传播神经网络、小波变换等等，对于统计信号处理很有参考价值。(Matlab based on a new type of signal processing algorithms. Including simulated annealing, genetic algorithm, back-propagation neural network, wavelet transform, etc., for statistical signal processing useful reference value.)

噪声环境下语音信号的增强,噪声环境下语音信号的增强,噪声环境下语音信号的增强(The enhanced speech signal in noisy environment )

信号处理用的软件，振动分析用的。频域分析、时域分析(Signal processing software used, vibration analysis used. Frequency domain analysis, time domain analysis)

通过fft-ifft实现filter功能，计算速度比filter快。有word说明文档。(By fft-ifft , the calculation speed is faster than the filter function. Word documentation is ready.)

单径或多径瑞利衰落信道仿真，有较好的参考价值，主同步信号PSS在时域上的相关仿真，脉冲响应的相关分析算法并检验，基于kaiser窗的双谱线插值FFT谐波分析，重要参数的提取，结合PCA的尺度不变特征变换(SIFT)算法。( Single path or multipath Rayleigh fading channel simulation, There are good reference value, PSS primary synchronization signal in the time domain simulation related, Related impulse response analysis algorithm and inspection, Dual-line interpolation FFT harmonic analysis kaiser windows, Extract important parameters, Combined with PCA scale invariant feature transform (SIFT) algorithm.)

预报误差法参数辨识-松弛的思想，实现了对10个数字音的识别，DSmT证据推理的组合公式计算函数。( Prediction Error Method for Parameter Identification- the idea of relaxation, To achieve the recognition of 10 digital sound, Combination formula DSmT evidence reasoning calculation function.)

实序列FFT快速算法，用N点FFT计算2N点实序列的FFT，比直接进行2N点FFT运算减少一半运算量。(Real sequence FFT fast algorithm, using N-point FFT calculation 2N point real sequence of FFT, than the direct 2N-point FFT computation halved.)

说明：  基于三电平整流器matlab建模仿真原型，双闭环控制策略。可以借鉴参考(Based on the MATLAB modeling and Simulation prototype of three-level rectifier, the double closed-loop control strategy is proposed. It can be used for reference.)

This is very good meaning for understanding steepest descent

《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。(" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method.)