Ipopt-3

arm9 adc采集mma 7260加速度传感器的信号数据绘制及信号样本空间txt文档(arm9 adc acquisition mma 7260 accelerometer signal data and signal the sample space to draw txt document)

说明：  用b-splines变换的方法实现分数延迟滤波器matlab仿真程序(Using b-splines transform method to achieve Score delay filter matlab simulation program)

direck算法用matlab的M语言实现，该算法可以有效解决数值寻优，且实时性好，寻优收敛速度快，相比遗传算法，寻优更准确(direck algorithm matlab the M language, the algorithm can effectively solve numerical optimization, and real-time, optimizing the convergence speed, compared with the genetic algorithm optimization is more accurate)

kalman滤波程序，Matlab编写的程序(kalman filtering procedures, Matlab preparation procedures)

说明：  提出了正交频分复用(O FDM ) 系统中一种新的载波频偏估计算法L 载波频偏估计过程可分 为获取和跟踪, 其中, 获取过程和时间同步是同时完成的L新算法可实现的最大载波频偏获取范围 是整个信号带宽的一半L新的跟踪算法是一个最大似然算法, 在加性白噪声高斯信道(AW GN ) 下, 当N (训练序列长度的一半) 等于128 时, 其性能比Schm idl 算法提高约7127 dB 在多经信道下, 当 信噪比不是很高时, 新算法仍具有优势L(new carrier f requency offset est imat ion scheme in o rthogonal f requency division mu lt ip lex ing (O FDM ) system is p ropo sed. The carrier f requency offset est i2 mat ion includes acqu isit ion and t rack ing, and acqu isit ion as w ell as t im ing synch ro2 n izat ion can be perfo rmed simu ltaneou sly w ith h igh accu racy. The max imum acqu i2 sit ion range can be up to one half of overall signal bandw idth. The p ropo sed t rack2 ing est imato r is a max imum 2likelihood est imato r, and in AW GN channel, abou t 7127dB imp rovemen t is ob tained compared to the Schm idl’s algo rithm w hen N = 128 in mu lt ipath channel, the p ropo sed algo rithm wo rk s w ell at moderate SNR.)

ofdm同步偏移估计,主要针对符号的同步(ofdm estimation)

《MATLAB统计分析与应用：40个案例分析》程序与数据(MATLAB statistical analysis and application: 40 case studies" program and data)

本文介绍了直接序列扩频系统中数字Costas环的设计与实现，用来实现载波同步的闭环算法(This paper introduces the direct sequence spread spectrum digital Costas loop in the design and implementation to achieve closed-loop carrier synchronization algorithm)

隐马尔科夫过程的matlab代码，可用于流量建模(Matlab code of the hidden Markov process can be used for traffic modeling)

image compression using combination of spiht and iwt based predictive coding