1673-825X(2012)05-0573-04

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)

TF/SF for at 2D, square TEz over incident-angle range 0≤φ ≤90

AN MATLAB DESIGN OF PV ARRAY PAPER

本程序可以完成功率谱估计中，ARMA模型的阶数估计(This procedure can be completed in the power spectrum estimation, ARMA model order estimate)

说明：  商用车燃油消耗量试验方法直接档六工况等速油耗仿真模拟(Commercial Vehicle Fuel Consumption Test Method for direct file six conditions simulation speed fuel consumption)

车载组合导航仿真（直接解微分方程）捷联和gps以及里程义组合，直接解微分方程(Vehicle Integrated Navigation Simulator (direct solving differential equations) and the strap and the gps mileage justice portfolio, direct solutions of differential equations)

采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。(This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surveillance (video surveillance) system, and explores kalman filter to predict tragectory of objects. Experimental results demonstrate its outperformance. )

说明：  完整的curvelet变换(2.0)实现(complete curvelet transform (2.0) Implementation)

香浓法诺matlab下的编码解码，完美可用，没有调用matlab下函数(Shannon Fano coding under matlab decode, perfect can not call the matlab function under)

《工程线性代数》源代码，包含书中每个例子代码，经过调试，版本matlab7.0(" Linear Algebra Project," the source code, including examples of code for each book, after debugging, version matlab7.0)