Inequality-constrained-optimization

本源代码包含了卡尔曼滤波的CA模型的建模与MATLAB源码实现，利于卡尔曼滤波学习者学习使用(Origin of the code contains the CA model of Kalman filter modeling and MATLAB source code implementation, which will help learners learn how to use Kalman filtering)

Microsystem packaging

tugas kelompok jaringan komputer lanjut

地震SV波的源代码，得出反射系数，透射系数，转换波的反射系数，透射系数等(SV wave seismic source code, come the reflection coefficient, transmission coefficient, reflection coefficient, transmission coefficient converted waves, etc.)

这是Simulink关于巴特沃兹滤波器的模型。希望对初学者有用。(This is the Simulink model about bart ward filter. Hope useful for beginners. )

802.11 无线网络MATLAB仿真代码(802.11 wsn matlab simulate resource code)

说明：  本次设计是对GSM TCH/FS信道进行编码设计及性能仿真,仿真通信系统包括内外编码器、交织重排器、加性/突发和混合干扰信道、去交织反重排器、内外译码器，模拟了信息从信源到信宿的全过程； 在高斯噪声、突发干扰或混合信道及瑞利信道下测试每个步骤对误码率和系统性能的影响，通过数字及图形的比较，得出通信系统中各个模块的作用。另外，在GSM TCH/FS 的基础上建立GSM TCH/EFS 信道，对相应的信道环境进行仿真，得出误码率分析。 (This design is the GSM TCH/FS channel encoded design and performance simulation, simulation communication system, including internal and external encoder, interleaving rearrangement device, the additive/burst and mixed interference channel, to the cutting device against rearrangement, internal and external decoding and analog information from the source to the destination of the whole process in Gaussian noise, sudden disruption or mixing channel and Rayleigh channel to test each step of the bit error rate and system performance, by comparison of digital and graphic obtained communication systems the role of each module. In addition, GSM TCH/FS based on the established GSM TCH/EFS channel, the corresponding channel environment simulation, the error rate analysis)

SVM程序用于小样本分析，模式识别。用于Matlab的平台。(SVM procedures for small samples for analysis and pattern recognition. Matlab for the platform.)

基于matlab的模糊pid的仿真研究，有详细的解说如何等价被控对象的传递函数，如何模糊等等。(fuzzy pid)

此程序用提升法实现第二代小波变换 用的是非整数阶小波变换 采用时域实现,步骤先列后行 正变换：分裂，预测，更新； 反变换：更新，预测，合并 只做一层（可以多层，而且每层的预测和更新方程不同）(This procedure achieved by lifting the second generation wavelet transform with a non-integer order wavelet transform time-domain realization of transformation steps, then over are: split, predict, update inverse transform: Update, forecasting, consolidation only a layer of ( can be multi-layer, and each prediction and update equations are different))