MATLAB_GUI

地震勘探数据处理的matlab工具包，包括常用的反褶积，拉登变换，地震绘图等多种功能，比较好用的小东西(Seismic data processing matlab toolkit, including the commonly used deconvolution, transform Laden, seismic mapping and other features, compared to-use small things)

个人所得税分配方案设计 使用 mlatlab进行仿真(matlab geren suodsui)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

卡尔曼滤波与组合导航原理，非常适合初学者了解原理(Kalman filtering and navigation principles, the principle is very suitable for beginners to understand)

基于Lugre摩擦模型的PID控制（采用M语言实现控制算法及带有摩擦模型的被控对象的描述）(Lugre friction model based PID control (control algorithm using M language and a controlled object with a friction model description))

matlab中信号处理的源程序，机械专业进行转子动力学分析时用(source code matlab signal processing, machinery specialized for rotor dynamics analysis using)

0-1整数规划问题，采用MATLAB编程，约束条件等可以改变，比较实用(0-1 integer programming problem, the use of MATLAB programming, constraint conditions can change, more practical)

该算法是K-SVD算法的一种改进算法。该算法可以用于稀疏字典的学习中。与传统方法相比，能够有效的降低计算量，提高字典更新的速度。(The algorithm is an improved algorithm of K-SVD algorithm. The algorithm can be used to sparse dictionary learning. Compared with conventional methods, it is possible to effectively reduce the amount of computation, to improve the speed of dictionary update.)

用matlab 实现离散时间傅里叶变换的例程，方便初接触者使用。这是我dsp课的大作业(Using matlab discrete-time Fourier transform routines to facilitate early contact to use. This is my big job dsp lesson)

本书对无线信道的建模、OFDM以及MIMO的基础理论和实践作了一个综合的介绍，并给出了MIMO-OFDM系统基本的的技术matlab仿真代码，非常值得从事无线通信系统研究仿真人员作为参考。(MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). This book provides a comprehensive introduction to the basic theory and practice of wireless channel modeling, OFDM, and MIMO, with MATLAB programs to simulate the underlying techniques on MIMO-OFDM systems.)