plot_hht

模糊规则与模糊推理机，很好的学习模糊规则的资料。简单易懂(Fuzzy rules and fuzzy reasoning machine learning fuzzy rules. Easy to understand)

Load 3D image from a group of 2D dicom image files.

说明：  这个是一款非常有意思的MRI 的例子程序 主要是用来告诉你如何进行最简单的三维重建(This is a very interesting example of MRI procedures are primarily intended to show you how simple three-dimensional reconstruction)

在matlab环境下编写的简易计算器，能够进行四则运算和正弦余弦，x的y次方运算，对数运算等相关运算(In the matlab environment prepare a simple calculator that can perform arithmetic calculations and sine cosine, x of y th arithmetic, logarithmic arithmetic operations and other relevant)

Color can provide an efficient visual feature for tracking nonrigid objects in real-time. However, the color of an object can vary over time dependent on the illumination, the visual angle and the camera parameters. To handle these appearance changes a color-based target model must be adapted during temporally stable image observations. This paper presents the integration of color distributions into particle filtering and shows how these distributions can be adapted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measure between two color distributions the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, frames where the object is occluded or too noisy must be discarded.

1.题目：数字滤波器的设计与应用 2.设计要求：利用 Matlab 软件,以复合信号分离为例,对 “数字信号处理” 课程中 的谱分析 、数字滤波器设计和信号滤波这三个过程进行了仿真实现,给出了仿真结果。 3.具体步骤： （1）构造原始信号s(t) （2）画出s(t)的频谱 （3）设计ellipse数字滤波器(IIR)，包括低通，带通，带通，并显示幅频特性 （4）用得到的滤波器进行滤波，分离出三路信号，观察时域波形和幅频特性 （5）用三路信号s1,s2,s3尝试重新合成原始信号 4.问题：为什么重新合成的信号和原信号不相等呢？谁能解释一下？谢谢,QQ:664519036( 1. Title: Digital Filter Design and Application 2. Design requirements: use of Matlab software to composite signal separation, for example, on "Digital Signal Processing" course Of the spectral analysis, digital filter design and signal filtering process carried out three Simulation, the simulation results. 3. Concrete steps: (1) construct the original signal s (t) (2) Draw s (t) of the spectrum (3) design ellipse digital filter (IIR), including low pass, band pass, band pass, and shows amplitude-frequency characteristics (4) filtering with a filter obtained by the isolation of three signals, observed time-domain waveform and frequency characteristics (5) with a three-way signal s1, s2, s3 try to re-synthesis of the original signal 4. Question: Why is re-synthesized signal and the original signal is not equal to it? Who can explain? Thank you, QQ: 664519036)

Sargent exercises for the book recursive methods in economic dynamics

有详细的注释，music高阶谱分析算法，重要参数的提取。( There are detailed notes, music higher order spectral analysis algorithm, Extract important parameters.)

用JACOBI迭代法求解线性代数方程组，此迭代法是数值计算基本方法之一。(Use JACOBI iterative method for solving linear algebraic equations, and this iteration method is one of the basic method of numerical calculation.)

the use of coherent space-frequency coding in orthogonal frequency division multiplexing (OFDM)-based frequency-selective multiple-input multiple-output (MIMO) antenna fading channels has been proposed. Acquiring knowledge of the fading coefficients in a MIMO channel is already very challenging in the frequency-flat (fast) fading case. In the frequency-selective case, this task becomes significantly more difficult due to the presence of multiple paths, which results in an increased number of parameters to be estimated. In this paper, we address code design for noncoherent frequency-selective MIMO-OFDM fading links, where neither the transmitter nor the receiver knows the channel. We derive the code design criteria