criterion
共 19 篇文章
criterion 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 19 篇文章，持续更新中。
LCL Filter
Abstract—A higher order passive power filter (LLCL-filter) for
the grid-tied inverter is becoming attractive for industrial
applications due to the possibility to reduce the cost of the copper
and
JPEG2000国际压缩标准的java版测试参照平台(包含好多独立的库)
·详细说明：JPEG2000国际压缩标准的java版测试参照平台，包含好多独立的库。-java evaluation platform of JPEG2000 international compression criterion .many indepent libraries are included. 文件列表: jj2000-4.1 ..........\COP
verilog_criterion.rar
华为大规模逻辑电路设计指导手册,包括verilog和VHDL语言语法和设计规范
基于STM32单片机的嵌入式语音识别系统设计
<p>设计了一款以STM32F103为核心的自然语言识别系统,为满足实时语音识别系统对内存资源和运算速度的要求,基于硬件资源合理设计语音处理算法,在嵌入式平台上实现了对孤立词语的语音识别。首先根据背景噪声和语音信号的时域特征差异设定相应门限值,从而实现了对语音信号的端点检测。然后针对语音识别中传统梅尔倒谱系数对语音的高频信息敏感度较低,对语音信号分别提取梅尔倒谱系数(MFCC)与翻转梅尔倒谱系数(
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented i
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold
This paper presents a novel technique to increase the quality of medical images based on Histogram
This paper presents a novel technique to increase
the quality of medical images based on Histogram
Equalization. In the proposed method first we have
applied a noise reduction method and then we ap
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A componen
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to tra
The main features of the considered identification problem are that there is no an a priori separati
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood form
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BF
图像处理常用标准测试图images
国际标准测试图片，大小512*512和256*256，有灰度图和彩色图，可做算法<br />
<br />
性能测试-the criterion images<br />
Classify using the minimum error criterion via histogram estimation of the densities
Classify using the minimum error criterion via histogram estimation of the densities
function [U,V,num_it]=fcm(U0,X) ％ MATLAB (Version 4.1) Source Code (Routine fcm was written by R
function [U,V,num_it]=fcm(U0,X)
％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
％ Hathaway on June 21, 1994.) The fuzzification constant
％ m = 2, and the stopping
The problem of ¯ nding a linear discriminant function will be formulated as a problem of minimi
The problem of ¯ nding a linear discriminant function will be formulated as a problem
of minimizing a criterion function
基于LabVIEW和单片机的空调温度场测量系统的研究
<P>基于LabVIEW和单片机的空调温度场测量系统的研究:室内温度是空调系统舒适性的重要指标,对其及时、准确地测量显得非常重要。介绍单片机AT89C51 和数字式、单总线型温度传感器DS18B20 组成矩形测量网络采集空调室内40 点温度,LabVIEW作为开发平台,二者之间通过串口实现数据通信,利用LabVIEW强大的数据处理和显示功能对采集的空调温度场数据进行实时处理、分析和显示,详细介绍了
Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white
Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
The toolbox solves a variety of approximate modeling problems for linear static models. The model ca
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called mi
The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Trunca
The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estima
Compute Classical detection threshold for radar detection under additive Gaussian white noise criter
Compute Classical detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
pwm教程
<P>The equal-area theorem●This is sinusoidal PWM (SPWM)●The equal-area theorem can be appliedto realize any shape of waveforms</P>
<P>●Natural sampling<BR>●Calculation based on equal-area criterion<BR