IR-bandpass-filter-with-entrance-signals

matlab实用程序百例2 很实用的 对初学者大有裨益(Matlab program the practical example 2 is very useful for beginners greatly )

维纳滤波器设计，改变滤波器阶数N和信号长度取值L，观察两者对实验结果影响(Wiener filter design, changing the order of the filter length N and the signal value L, were observed both on experimental results)

重要参数的提取，是本科毕设的题目，可以实现模式识别领域的数据的分类及回归，进行逐步线性回归，构成不同频率的调制信号，正确率可以达到98％，在MATLAB中求图像纹理特征。( Extract important parameters, The title of the commercial is undergraduate course you You can achieve data classification and regression pattern recognition, Stepwise linear regression, Constituting the modulated signals of different frequencies, Accuracy can reach 98 , In the MATLAB image texture feature.)

ABC_FDTD_Die(T) Implements simulation of a Gaussian Pulse over T time steps. ABC are for free space. If boundaries are in the Dielectric medium then the ABC fail. Dielectric medium begin and end can be specified with the code(ABC_FDTD_Die (T) Implements simulation of a Gaussian Pulse over T time steps. ABC are for free space. If boundaries are in the Dielectric medium then the ABC fail. Dielectric medium begin and end can be specified with the code)

matlab的基础学习(The matlab-based learning)

mfc下通用的文件，该文件是人工萤火虫算法的matlab代码实现。(mfc under common file)

PCA主成分分析，提取主特征，降维处理(PCA principal component analysis is used to extract the main features and reduce the dimensionality)

利用matlab,基于传输矩阵平面波展开法计算一维光子晶体能带结构。(The energy band structure of one-dimensional photonic crystals is calculated by using MATLAB and plane wave expansion method.)

ec627 speexh processing iit guwahati lab 1 program

无线传感器网络所具有的众多类型的传感器，可探测包括地震、电磁、温度、湿度、噪声、光强度、压力、土壤成分、移动物体的大小、速度和方向等周边环境中多种多样的现象。基于MEMS的微传感技术和无线联网技术为无线传感器网络赋予了广阔的应用前景。这些潜在的应用领域可以归纳为:军事、航空、反恐、防爆、救灾、环境、医疗、保健、家居、工业、商业等领域。(Wireless sensor networks have many types of sensors can detect, including seismic, electromagnetic, temperature, humidity, noise, light intensity, pressure, soil composition, the size of moving objects, velocity and direction of the surrounding environment, a variety of phenomena. MEMS based micro-sensor technology and wireless networking technology for wireless sensor networks given the broad application prospects. These potential applications can be summarized as: military, aviation, terrorism, explosion, disaster relief, environment, health, health, home, industrial, commercial and other fields.)