BPrecognition

matlab数学手册 还是可以的 可以看看(Mathematics Handbook or can be)

一种流形学习算法（很好用），用于特征降维，特征融合，相关分析等,分析了该信号的时域、频域、倒谱，循环谱等。( A fluid manifold learning algorithm (good use), For feature reduction, feature fusion, correlation analysis, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.)

说明：  简要介绍了认知无线电中基于能量检测的频谱感知方法,在分析能量检测法原理和性能基础上,研究了噪声的不确定性对检测性能的影响. 仿真表明,能量检测法是一种简单、有效的频谱感知方法.(A brief introduction of cognitive radio spectrum sensing based on energy detection method, the analysis and performance of energy detection principle, based on the uncertainty of the noise effect on detection performance. Simulations show that the energy detection method is a simple, effective spectrum sensing method.)

数字图像处理程序，完成卡尼边缘检测数字图像处理算法可对数字图像实现边缘检测(Digital image processing program, complete Carney digital image processing algorithm for edge detection can be achieved on the digital image edge detection)

该程序用matlab实现FLLMS算法，并绘出了收敛曲线。 (The program using matlab achieve FLLMS algorithms, and plot the convergence curve.)

说明：  ∑-Δ调制工具箱2.0版做∑-Δ调制用仿真分析(Σ-Δ Modulation Toolkit 2.0)

生成无标度序列，可以设定网络节点数及最小度数，画出了P（k）图，理解较容易。(Generate scale-free sequence, you can set the network nodes and the smallest degree, to draw the P (k) maps to understand more easily.)

使用移位寄存的方法产生M序列，在MATLAB编程中使用(The use of storage methods shift M sequence, the use of programming in MATLAB)

说明：  数字仿真的lpsolve-整数规划工，matlab上使用，6.5以上版本，学习整数规划时很有用(Digital Simulation lpsolve-integer programming works, matlab used version 6.5 and above, learning is useful when the integer programming)

最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 (Least-squares method (also known as least squares) is a mathematical optimization techniques. It does this by minimizing the square error of the data and find the best match function. The least square method can easily obtain the unknown data, and makes these data and the actual data obtained between the square and the smallest error. Least-squares curve fitting method can also be used. Other optimization problems can be maximized by minimizing the energy or entropy of the least square method to express. )