phantom3dhip

有记忆HPA的建模！am/am以及am/pm特性曲线！采用经典的saleh模型！(Modeling of HPA with memory! am/am and am/pm curve! Saleh model using classic!)

this ring buffer sample.

Keogh的SAX聚集近似算法，首先采用PAA分段，然后正态化序列，在对应表上查询符号表示，这是一个很经典的时间序列表示方法(Keogh' s SAX gathered approximation algorithm, the first use PAA segment, then normal sequence, query on the corresponding symbol table indicates, this is a classic representation of the time series)

matlab智能天线关于波束形成程序的仿真(matlab smart antenna beam-forming process on the simulation of)

改进的粒子群算法--自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。(improved PSO-- Adaptive PSO. In a normal PSO which joined the entropy and the average particle from the concept of convergence speed, it is not easy to find the global optimum, the more effective solutions to complex problems.)

euler算法与改进euler算法matlab源程序(euler algorithm and improved euler algorithm matlab source code)

本文提出了一种与J PEG标准完全兼容的医用内窥镜图像自适应量化压缩编码方法,该方法 采用二次扫描的措施,根据原始图像的频谱分布特点,自适应地修正J PEG推荐的量化表。(This paper presents a fully compatible with the J PEG standards of medical endoscope image adaptive quantization coding method, which uses the second scan measures, according to the original image of the spectrum distribution characteristics, adaptive to amend the recommended quantitative J PEG Table.)

说明：  基于clarke模型的瑞利多径衰落产生器，由移动台速度确定的瑞利衰落随机过程(A Rayleigh fading simulator based on Clarke s Model. Creates a Rayleigh random process with PSD determined by the vehicle s speed)

巴特沃斯滤波器，主要实现的是低通信号，此功能模块的低通曲线很符合理想的幅频特性。(Butterworth filter, the main achievement is low traffic numbers, the low-pass curve is consistent with this function module ideal frequency characteristics.)

Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm. Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc. Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann Can be used both from Java or Matlab. Time for a 100x100 assignment problem, with k=20: • Matlab implementation: 54.5 sec • Java implementation: 1 sec