bhmie-matlab

非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序（3－拟牛顿BFGS方法）.m(Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M)

说明：  一维直方图最大熵法分割图像，自己写的matlab代码，多多指教(One-dimensional histogram maximum entropy image segmentation, to write the matlab code, exhibitions)

This is a Matlab code explaining the Primal SVM training and testing algorithm using Lagrange mathematical theory

瑞利分布＋杂波雷达信号MATLAB仿真程序源码，希望望对有做雷达信号的朋友有帮助 可直接使用。 已通过测试。 (Rayleigh distribution+ hybrid radar signal MATLAB simulation program source code, I hope to look on the friend of a radar signal to help can be used directly. Has been tested.)

In this i attached matlab code for indoor localization using WIFI and FM signal features classified by KNN classifier to predict the fingure print of the building structure.

张贤达的现代信号处理课本第二版，清华出版社(Zhang Xian of modern signal processing second edition textbook, Tsinghua University Press)

共振解调的过程如下：首先对采集到的信号进行傅里叶变换，然后利用传感器自身的谐振频率进行分析，对滤波后的信号进行包络，包络以后去除了高频部分，得到包络信号，再对改进的包络信号进一步进行低通滤波，最后对最终得到的信号进行傅立叶变换求其频谱图。共振解调的原理及其过程可以用图2 来进行表述。(The process of resonance demodulation is as follows: First, Fourier transform is performed on the collected signal, and then the resonance frequency of the sensor is used for analysis. The filtered signal is enveloped, and the high frequency part is removed after enveloping to obtain an envelope. The signal is further subjected to low-pass filtering on the improved envelope signal. Finally, the spectrum of the resulting signal is Fourier-transformed. The principle of resonant demodulation and its process can be expressed in Figure 2.)

These are the QR/RQ factorization techniques required for the Zero forcing detection technique for MIMO.

计算光子晶体能带结构 使用matlab，程序非常容易理解。还配有说明文档。(Calculation of the photonic crystal band structure using the Matlab program is very easy to understand. Document comes with instructions.)

层次分析法实现程序，实现目标层权向量的计算以及评价(Analytic Hierarchy Process implementation program to achieve the target layer weight vector calculation and evaluation)