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Description: LastWave，开源项目，信号处理，跨平台，主要以小波应用为主，涉及图像处理和音频处理，非常好的源代码-LastWave is a signal processing oriented command language.
The 3.0 version is based on the GNU wxWidgets library. It allows LastWave to be truly multiplatform : it runs on both X11/Unix (or Linux of course) , Windows XP SP2 and Macintosh (OS X only) computers.It has been designed to be used by anybody who knows about signal processing and wants to play around with wavelets and wavelet-like techniques.
However, it can be used as a regular scripting language.
It mainly consists in a powerful command line language with matlab-like syntax which includes a high level object-oriented graphic language. It allows to deal with high-level structures such as signals, images, wavelet transforms, extrema representation, short time fourier transform,...
Display of all these complex structures is interactively controlled using the mouse or keyboard. The way it is controlled is described using the command language. Moreover, LastWave can generate postscript files of anything you draw.
Of c
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Size: 19403776 |
Author: danny |
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Description: extrema: find extrema points
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Size: 53248 |
Author: 吴彬麟 |
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Description: finds the ratio between number of local extrema of a signal (vector) to the size of the signal (vector)
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Size: 1024 |
Author: sam_x_2004 |
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Description: SUSurE-Speeded Up Surround Extrema Feature Detector and Descriptor
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Size: 876544 |
Author: 仍未 |
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Description: Calculates the extrema (maxima and minima) of time domain waveform
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Size: 1024 |
Author: Abdur |
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Description: SUSurE: Speeded Up Surround Extrema Feature Detector 的代码，Censure的改进版，很好用-SUSurE: Speeded Up Surround Extrema Feature Detector code, Censure of the improved version, it is good
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Size: 310272 |
Author: wangchubai |
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Description: This function quickly finds local peaks or valleys (local extrema) in a noisy vector using a user defined magnitude threshold to determine if each peak is significantly larger (or smaller) than the data around it. The problem with the strictly derivative based peak finding algorithms is that if the signal is noisy many spurious peaks are found.
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Size: 3072 |
Author: Karthi |
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Description: Speeded Up Surround Extrema Feature Detector and Descriptor for Realtime Applications
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Size: 313344 |
Author: mojtaba |
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Description: 这是一个重要考验，支持模块，是由前两个模块使用的实用程序。-This is a utility program for significance test, a supporting module that is used by the previous two modules.
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Size: 1024 |
Author: tangtang |
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Description: The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.
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Size: 3072 |
Author: suci ariani |
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Description: 这是2009年huang在EMD基础上改进的算法EEMD的matlab代码！-This is the huang in 2009 based on the improved EMD algorithm EEMD matlab code!
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Size: 1024 |
Author: cris |
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Description: part 1 about vcsel simulation of a paper I-part 1 about vcsel simulation of a paper IEEE
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Size: 23552 |
Author: |
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Description: loja online, ou shop em php.
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Size: 12288 |
Author: xDeMellow Lanz |
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Description: 用c语言编写了matlab中的extrema函数~
功能 输出一个离散信号的极大值，极小值及其他们的位置~-C language extrema in matlab function to function great value, minimum value of output a discrete signal their location ~
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Size: 1024 |
Author: 李亭 |
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Description: 计算一个一位序列的极值（极大与极小） 并标注他们的位置 作图示意 并讨论在序列起始与终点的极值近似-Calculate a sequence of extremal (maximum and minimum) and marked their position plotted schematically and discussed in sequence starting with the end of the extreme value approximation
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Size: 1024 |
Author: 王枫林 |
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Description: 这是一个mser提取最大稳定极值区域的代码，使用到了opencv，调试通过，可直接运行！-This is a mser extract maximum stable the extrema area code, used opencv through debugging, and can be run directly!
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Size: 2648064 |
Author: wuchenlong |
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Description: Algorithms for the extraction of the extrema of a signal
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Size: 2048 |
Author: Leghmizi sabrina |
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Description: 分水岭分割对图像特征使用梯度下降法和沿区域边界分析弱点(weak points) 来将像素分
类为区域。想像在一个有水流动的拓扑地形结构中，水在重力的引导下聚集到一个地势较低
的盆地。随着水量的增加，水将流满整个盆地直到水流溢出到另一个盆地，这样就会将一些
小盆地吞没形成大的盆地。使用局部的几何结构来形成区域(集水的盆地)，在图像领域中正
如使用一些诸如曲率或梯度强度等特征中的局部极值来将像素连接成区域。这种技术不像其
他区域分割，它几乎不需要用户定义门限，尤其适合对以不同的特征类型从不同的数据集融
合而来的图像进行分割。分水岭技术在那些不仅仅产生单一图像分割的应用中也更加灵活，
但是使用一个门限，或者交互式地在一个用户绘图界面的帮助下，从一个可以提取一个单一
区域或区域集的a-priori 中的一个分割层级更合适。-Watershed segmentation classifies pixels into regions using gradient descent on image features
and analysis of weak points along region boundaries. Imagine water raining onto a landscape
topology and flowing with gravity to collect in low basins. The size of those basins will grow
with increasing amounts of precipitation until they spill into one another, causing small basins
to merge together into larger basins. Regions (catchment basins) are formed by using local
geometric structure to associate points in the image domainwith local extrema in some fea-ture measurement such as curvature or gradient magnitude. This technique is less sensitive
to user-defined thresholds than classic region-growing methods, and may be better suited for
fusing different types of features from different data sets. The watersheds technique is also
more flexible in that it does not produce a single image segmentation, but rather a hierarchy of
segmentations from which a single region or set of regio
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Size: 5120 |
Author: 张涛 |
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Description: SIFT算法大致有四个步骤：
1，尺度空间极值检测。在尺度空间通过高斯微分函数来检测潜在的对于尺度和旋转不变的兴趣点。
2，关键点定位。在兴趣点位置上，确定关键点的位置和尺度。
3，方向确定。基于图像局部的梯度方向，给每个关键点分配方向。
4，关键点描述。在每个关键点的领域内测量图像局部的梯度。最终用一个特征向量来表达。
-SIFT算法大致有四个步骤：
SIFT algorithm has four steps:
1，尺度空间极值检测。在尺度空间通过高斯微分函数来检测潜在的对于尺度和旋转不变的兴趣点。
1, the scale space extrema detection. In the scale space by Gauss differential function to detect potential for rotation and scale invariant interest point.
2，关键点定位。在兴趣点位置上，确定关键点的位置和尺度。
2, the key point positioning. At the point of interest position, to determine the location and scale of key points.
3，方向确定。基于图像局部的梯度方向，给每个关键点分配方向。
3, to determine the direction of. Local image based on gradient direction, for each of the key point distribution direction.
4，关键点描述。在每个关键点的领域内测量图像局部的梯度。最终用一个特征向量来表达。
4, the key point description. Measurement of gradient image part in each of the key points in the field. Finally expressed as a feature vector.
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Size: 675840 |
Author: 张绍泉 |
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Description: MATLAB CODE FOR extrema.m, extrema2.m
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Size: 53248 |
Author: sswtechnology |
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