charpt5

this will be very useful doing motion estimation so try this

说明：  巴特沃斯滤波器，可以通过它对受噪声干扰的图像进行平滑处理(Butterworth filter, can be affected by its image noise smoothing)

基于并行方法的遗传算法求解多目标优化问题的matlab程序，可作为多目标学习(Parallel genetic algorithm for solving multi-objective optimization problem based method matlab program can learn as a multi-objective)

APF仿真，关于matlab中APF的全面仿真，自己画的图，绝对正确，无任何错误(APF simulation model)

IFRS Implementation Guide

ex5_1 I-型线性相位FIR滤波器 ex5_2 II-型线性相位FIR滤波器 ex5_3 III-型线性相位FIR滤波器 ex5_4 IV-型线性相位FIR滤波器 ex5_5 矩形窗频响 ex5_6 希尔伯特变换器设计－汉宁窗 ex5_7 低通滤波器设计－汉明窗 ex5_8 带通滤波器设计－布莱克曼窗 ex5_9 低通滤波器设计－凯塞窗 ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 ex5_13 频率采样技术：带通, 最优法T1 & T2 ex5_14 频率采样技术：高通, 最优法T1 ex5_15 频率采样技术：差分器 ex5_16 频率采样技术： 希尔伯特变换器 ex5_17 利用Parks-McClella算法设计低通滤波器 ex5_18 用PM算法进行的带通滤波器设计 ex5_19 用PM算法进行的高通滤波器设计 ex5_20 用PM算法进行的阶梯滤波器设计 ex5_21 用PM算法进行的差分器设计 ex5_22 用PM算法进行的希尔伯特变换器设计(ex5_1 I-type linear phase FIR filter ex5_2 II-type linear phase FIR filter ex5_3 III-type linear phase FIR filter ex5_4 IV-type linear phase FIR filter rectangular window frequency response ex5_5 Hilbert ex5_6 converter design- Hanning window low-pass filter design ex5_7- Hamming window ex5_8 bandpass filter design- Blackman window ex5_9 low-pass filter design- Kaiser window ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2 sampling frequency ex5_13: band-pass, optimal method T1 & T2 ex5_14 sampling frequency: high-pass, optimal method T1 sampling frequency ex5_15: differentiator sampling frequency ex5_16: Hilbert converter Parks-McClella use ex5_17 algorithm design low-pass filter PM algorithm ex5_18 with the band-pass filter design PM algorithm ex5_19 with the high-pass filter design PM algorithm used ex5_20 ladder filter design PM algorithm used ex5_21 differential design PM al)

说明：  matlab界面设计，八数码界面，搜索算法，爬山法(matlab interface design, eight digital interface, the search algorithm, hill climbing)

This set of MATLAB files contain an implementation of the gradient projection algorithms described in the paper "Gradient Projection for Sparse Reconstruction:

matlab图表，matlab代码源码，是matlab自带的code(matlab logo code)

有做MIMO-OFDM自适应调试的学者可以下载，希望能够对你们有帮助。(Adaptive MIMO-OFDM has done scholars debugging)