BER estimation for wavelet packet modulation schemes and optimal basis selection

2005 ◽  
Author(s):  
D.D. Murphy
Keyword(s):  
Wavelet Packet ◽  
Optimal Basis ◽  
Modulation Schemes

scholarly journals Compressed Sensing for Image Compression Using Wavelet Packet Analysis

2013 ◽  
pp. 16-20
Author(s):  
Kanike Vijay Kumar ◽  
K. Suresh Reddy
Keyword(s):  
Compressed Sensing ◽  
Image Compression ◽  
High Frequency ◽  
Matching Pursuit ◽  
Wavelet Packet ◽  
Low Frequency ◽  
Original Image ◽  
Optimal Basis ◽  
Naturally Occurring ◽  
Random Measurements

Compressed sensing is a recently developed technique that exploits the sparsity of naturally occurring signals and images to reduce the volume of the data using less number of samples, computing the sparsity of the signal. In the traditional/conventional approaches the images are acquired and compressed, where as compressed sensing aims to acquire the “compressed signals” with few numbers of samples and reconstruct the images. This will allow us to acquire the large ground/region with few numbers of input samples. This technique works on the assumption that natural signals/images have inherent sparsity. . In this algorithm, the original image is first decomposes with the wavelet packet to make it sparse, and then retains the low frequency coefficients in line with the optimal basis of the wavelet packet, meanwhile, makes random measurements of all the high frequency coefficients according to the compressed sensing theory, and last restores them with the orthogonal matching pursuit (OMP) method, and does the inverse transform of the wavelet packet to reconstruct the original image, to achieve the image compression.

Analogue intensity modulation schemes for optical fibre HDTV transmission

1993 ◽  
Vol 140 (6) ◽  
pp. 417
Author(s):  
J.M. Senior ◽  
D.T. Lambert ◽  
D.W. Faulkner
Keyword(s):  
Optical Fibre ◽  
Intensity Modulation ◽  
Modulation Schemes

Channel Estimation Method Using Arbitrary Amplitude and Phase Modulation Schemes for MIMO Sensor

2014 ◽  
Vol E97.B (10) ◽  
pp. 2102-2109
Author(s):  
Tsubasa TASHIRO ◽  
Kentaro NISHIMORI ◽  
Tsutomu MITSUI ◽  
Nobuyasu TAKEMURA
Keyword(s):  
Channel Estimation ◽  
Phase Modulation ◽  
Estimation Method ◽  
Arbitrary Amplitude ◽  
Modulation Schemes

Detection of Cardiac Abnormality from PCG Signal Using Wavelet Packet

2015 ◽  
Vol 3 (1) ◽  
pp. 12-16
Author(s):  
Tripti Singh ◽  
◽  
Abhishek Misal ◽  
Keyword(s):  
Wavelet Packet ◽  
Cardiac Abnormality

Prevention and Treatment of Early Childhood Caries (ECC)

2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Jeffrey .
Keyword(s):  
Early Childhood ◽  
Health Problem ◽  
Early Childhood Caries ◽  
Health Providers ◽  
Missing Teeth ◽  
Optimal Basis ◽  
Major Health Problem ◽  
Major Health ◽  
Childhood Caries

Early Childhood Caries (ECC) is a chronic disease that can be prevented. It commonlyaffects children involving in one or more decayed (with lesions or not) teeth, missing teeth (dueto caries), or teeth with fillings in children aged under 71 months. The disease is sometimesoverlooked, but this condition usually affects the general health of children. Early detection ofEarly Childhood Caries (ECC) can prevent problems which are harmful to children. Therefore,the ECC must be prevented and for teeth that have had dental caries they should be givenproper treatment so as not to worsen and affect the quality of life in children. Prevention of thisdisease is a significant component in any health program to prepare for the optimal basis forthe oral health of children. This condition will become a serious health problem if not handledproperly, and it is a major health problem for health providers throughout the world.Primarypreventive must be initiated since a woman getting pregnant.Keywords: Early Childhood Caries (ECC), prevention, treatment

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