fwt

Calculation of dielectric loss angle for on-line measurement based on FWT

基于FWT的在线检测介损角的计算

Combined with virtual instrument technique , the FWT analysis system for signals was successfully developed .

结合虚拟仪器技术，研制成功虚拟式快速小波变换信号分析系统。

We got the performance of the FWT processor through simulation and synthesis .

经过仿真与综合，获得了该FWT处理器的性能指标。

This paper proposes a flicker method based on FWT and its implementation on DSP .

该文提出了基于快速小波变换的闪变算法，并将该算法在数字信号处理器上实现。

The Convergence Characteristic of Domain Transformation Type Adaptive Filtering and the Property of FWT Type Adaptive Filter

域变换型自适应滤波的收敛特性及FWT型自适应滤波的性能

The Fast Wavelet Transform ( FWT ) Algorithm and De - noising

快速小波变换算法与信噪分离

Fast channel estimation using FWT in DMB-T systems

DMBT系统中利用FWT快速实现信道估计

A Direct Method of N-dimensional FWT

多元FWT的直接变换方法

In this article , we propose a fast correlation algorithm of multiple PN code by Fast Walsh Transform ( FWT ) .

本文提出了一种利用快速沃尔什变换（FWT）实现对复合码进行快速相关的算法。

The CCK demodulator is based on a Fast Walsh Transform ( FWT ) block , with a novel algorithm used to reduce the hardware complexity .

CCK解调器包含快速Walsh变换（FWT）结构和符号判决单元，采用了一种新的算法和结构，降低了硬件复杂度。

Besides this , a better arrangement of the wavelet coefficients-raster scan order , is used to replace the zigzag order which is used in the FWT based and improves the encoding efficiency .

同时提出了一种合理的小波系数排序方法&光栅扫描排序，它能够替代FWT方法中的Z字形排序，从而提高了编码效率。

The fast Walsh transform ( FWT ) decoding algorithm and the field programmable gate array ( FPGA ) hardware implementation of the CCK modulation / demodulation system was proposed in the final .

最后给出了解码的FWT（FastWalshtransform）算法以及调制解调系统的现场可编程门阵列（FPGA）硬件实现。

A new style fast wavelet transform , named rotation angle series fast wavelet transform & RAS FWT , is put forward in this paper . The restriction on the rotation angle series is also brought forward .

提出了一种新型小波分析快速算法&旋转角序列快速小波变换（RASFWT），并给出了正交小波旋转角序列的约束关系。

The fast wavelet transform ( FWT ) algorithm in wavelet analysis was introduced in the paper . With quadrature mirror filters ( QMF ) associated with popular wavelet bases , the fast wavelet decomposition and reconstruction for signals were implemented .

介绍了小波分析中的快速小波变换算法，通过与常用小波基相对应的正交镜像滤波器组，实现了对信号的快速小波分解和重构。

A fast wavelet transform based on binary partition technique ( BFWT ) is proposed to apply an " almost to be " FWT to matrices with non-dyadic sizes , which can not be done by the standard FWT .

提出基于二进分块的快速小波变换算法，可实现对非二进阶矩阵的几乎快速小波变换，克服了标准快速小波变换在实施时要求目标矩阵的阶数必须为2的整数幂这一限制。

It first shifts EEG signals from time domain to sequential domain by FWT ( Fourier-Walsh Transform ), Then extracts power spectrum features of sequential domain , finally uses tree-classifier to recognize sharp-spike wave . The effective recognition ratio reaches 85.5 % .

它通过FWT变换把脑电信号从时域变换到序域，提取信号的序域功率谱特征并利用树分类器对尖棘波进行识别，有效识别率为85.5%。