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CHP 4 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954(CHP 4- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954)

求取地震资料二维剖面振幅谱，并对振幅谱进行了归一化和平滑。(The amplitude spectrum of two dimensional seismic data is obtained, and the amplitude spectrum is normalized and smoothed.)

MATLAB源码，P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(MATLAB source code, P0301 : Digital image data matrix display and Fourier Transform P0302 : Two-dimensional discrete cosine transform image compression P0303 : Gray used a new method to enhance the contrast of the image P0304 : histogram equalization P0305 : Simulation images by white Gaussian noise and Impulse noise impact P0306 : 2D median filtering function medfilt2 right by the Salt and Pepper image noise filtering P0307 : MATLAB filter2 the function of noise interference by the image filtering P0308 : Image Adaptive Filter Weiner P0309 : use five different gradient Enhancement Act for image sharpening P0310 : Images of the high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing P 0312 : Butterworth (Butte)

ant colony 蚁群算法的很好范例 matlab代码(ant colony ant algorithm is a good example of Matlab code)

fiber laser for sensing element

资源描述对全双工下单小区的性能进行了仿真评估

Capon提出MVDR（Minimum Variance Distortionless Response）高分辩方位估计方法以来，MVDR以其简单的算法、良好的性能得到了广泛关注，是一种具有良好实用前景的数字波束形成方法.本程序采用旋转不变子空间方法，采用MVDR算法在宽带自适应波束形成中的MATLAB实现。

本文先介绍了整个系统的硬件电路设计，而后用VHDL硬件描述语言完成了系统控制程序的编写，并对系统进行了程序仿真及调试验证。本文特别详细的讨论了系统程序的编写，因为他关系到整个系统的功能实现，也是本设计的重点所在。设计中选用Protel 99se作为电路图编辑软件，选用Max+plusⅡ作为仿真环境。(This article first describes the overall system hardware design, then use the VHDL hardware description language, the system control program to complete the preparation, and system simulation and debugging of program verification. This particular system is discussed in detail the preparation process, because he related to the functions of the entire system to achieve, is the focus of this design. Design selected Protel 99se as circuit editing software, use Max+ plus Ⅱ as a simulation environment.)

说明：  一个4阶的切比雪夫Ⅰ型低通滤波器，可以用它对信号进行滤波。当然，滤波器的零极点图也是必不可少的。(A 4-order Chebyshev low-pass filter of type Ⅰ, you can use it to filter the signal. Of course, the filter pole-zero map is essential.)

给出接收信号眼图及系统仿真误码率，BP神经网络的整个训练过程,多元数据分析的主分量分析投影，包括轨道机动仿真、初轨计算,是本科毕设的题目，DC-DC部分采用定功率单环控制。