nice

Defines continuous-time linearised state-space model of Cessna Citation aircraft (slightly modified) as LTI object or as 4 matrices of state-space model.

本程序基于实测的LFM脉冲信号回波数据，进行脉冲压缩处理，实现MTI/MTD/Matched Filter等功能，主要完成以下具体功能 1.脉冲压缩的实现以及结果处理， 2.固定目标的对消的实现方法、作用以及必要性分析， 3，脉冲积累的时机、实现方式、效果及必要性分析， 4,动目标检测的实际含义、具体实现方案及结果分析， 5,对目标距离、速度、数量的回答及旁瓣抑制的必要性分析 ( This program echo LFM pulse signal based on the measured data, the pulse compression processing, realize MTI/MTD/Matched Filter, and other functions, mainly to complete the following specific functions 1. The realization of pulse compression and processing results, 2. Cancellation of the realization method of the fixed target, function and the analysis of the necessity, 3, the timing of the pulse accumulation, implementation method, effect and necessity analysis, 4, the actual meaning of the moving target detection, the concrete implementation plan and result analysis, 5, the target distance, speed, number of answer and the analysis of the necessity of the sidelobe suppression )

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

基于matlab的随机行走案例，希望对各位有所帮助，如有不对，还请批评指正(case based on matlab)

Language Implementation Patterns - Terence Parr. How to design your own programming language.

合成孔径雷达（SAR)目标成像仿真，LCMV优化设计阵列处理信号，通过matlab代码，已调制信号计算其普相关密度，利用自然梯度算法，包括调制，解调，信噪比计算。( Synthetic Aperture Radar (SAR) imaging simulation target, LCMV optimization design array signal processing, By matlab code, Modulated signals to calculate its density Pu-related, Use of natural gradient algorithm, Includes the modulation, demodulation, signal to noise ratio calculation.)

对谐波信号进行分析，获得音调和基频，来自音色工具箱(Harmonic signal analysis, the tone and the fundamental frequency from the tone toolbox)

一个简单的优化案例。求解下面的带有等式约束和简单的边框约束(box constraints)的优化问题： minx,y(x?1)2+(y?2)2s.t.0≤x≤3,1≤y≤4,2x+3y=5(A simple optimization case. To solve the following with equality constraints and simple edge constraint optimization problem (box constraints): Minx, y (x - 1) 2+ (Y - 2) 2s.t.0 = x = 3,1 = y = 4,2x+3y=5)

Garbor filter is famous for its approximation to the characteristic of Cortex in human vision system. The state-of-the-arts advancement in computer vision application demonstrates the success and promissing of this technique. This directory contains the codes for Gabor filtering and texture feature extraction. The strategy of constructing the Gabor filter bank is based on the accompanied paper included in the subdirectory.(Garbor filter is famous for its approximation to the characteristic of Cortex in human vision system. The state-of-the-arts advancement in computer vision applicationdemonstrates the success and promissing of this technique.This directory contains the codes for Gabor filtering and texture feature extraction . The strategy of constructing the Gabor filter bank is based on the accompanied paperincluded in the subdirectory.)

digital signal processing