shift

数值方法（MATLAB版）第四版的上机答案 语言是matlab 一般每个题目一个文件夹 主程序一般为main文件(Numerical methods (MATLAB version) fourth edition of the machine language is the answer to every problem a general matlab folder as the main file main general)

处理一段语音的卡尔曼滤波，配合以LPC模型求转移矩阵参数(Processing a voice of Kalman filtering, in line with the LPC model parameters seeking transfer matrix)

极性LMS自适应滤波器，实现信号的自适应滤波作用(Polarity LMS adaptive filter, adaptive filter to achieve the role of signal)

本代码是基于MATLAB的模糊pid的仿真程序，经测试可以运行。(The code is based on the MATLAB simulation of the fuzzy pid process can run through the test.)

Model-Based_Predictive_Control_A practical approach，pdf图书和图书配套的matlab仿真代码(Model-Based_Predictive_Control_A practical approach, book and matlab code for this book)

“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)

基于互信息的图像配准源码，优化算法使用粒子群算法(Based on Mutual Information Image Registration code, optimizing the use of particle swarm optimization algorithm)

说明：  spectrum sensing source code

ploting uwb channel with matlab

一篇关于宽带MIMO-OFDM系统的文章，从最基本的系统结构，到复杂的信道估计等都有极其详细的论述，可以说代表了当今MIMO-OFDM系统研究的潮流和研究现状的总述！(one of the Broadband MIMO-OFDM articles from the most basic system structure, to complex channel estimation and others all have very detailed exposition It can be said on behalf of today's MIMO-OFDM system and the trend of the total study to the status quo!)