Matlab_low_pass_digital_filter_to_achieve

说明：  此粒子滤波程序采用重采样算法，用于二维平面目标跟踪(This procedure uses resampling particle filter algorithms for two-dimensional plane tracking)

gm.11一个简洁的初级学习小程序，希望大家指正，向大家学习(Gm.11a simple primary study of small procedures, we hope that the correction, to everybody study)

自己弄的多端直流配电网的仿真模型，是支撑自己小论文的东东。仿真环境是用的matlab。(Get yourself a simulation model with a multi-terminal DC power grid, is supporting their own small paper stuff. Simulation environment is used matlab.)

C龙贝格算法　　源程序 ｍａｔｌａｂ数值计算 ()

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。 (This is a relatively complete simulation of OFDM communication system design, including coding, modulation, IFFT, the upper and lower frequency, Gaussian channel model, FFT, PAPR suppression, a variety of synchronization, demodulation and decoding module, and system performance omnibus simulation of the system reliability.)

把已知的时域信号进行傅里叶变换在频域上显示。(If you are running a lot of time based simulations, often you will want to see the frequency response. Here is a function that may help.)

盲信号分析入门，含matlab代码和图片说明，是初学者的宝贵资料。(Blind signal analysis started with the matlab code and captions, is valuable information for beginners.)

压缩包内为计算方法与数值分析中常用的求解算法的Matlab实现。(Calculating method and numerical analysis method commonly used algorithm in Matlab.)

This file includes matlab source code for the Uncoded QPSK + Coded QPSK with Viterbi (Hard decesion) decoder.

相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。(DeconvNet well written and easy to understand compared to relatively simple. But the original code to the data inside can not seem to run. Fortunately, there are some code with the author uses TCNN, such action recognition, can be downloaded along down the reference. This code is the main feature tiled structure that can be used for reference, and then put inside the ICA optimization functions into RICA, Sparse Coding and so on. In short, this code can also learn a lot (such as line search, etc.).)