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step size (µ) can be any value between 0 <µ<<1 but most cases we can take 0.01 to 0.001 , u have to deside by trying some diffrent values for getting optimum
refer this page may usefull
https://en.wikipedia.org/wiki/Least_mean_squares_filter
Re: Signals compression
i studied adaptive signal processing during my masters in sweden
here is course webpage you can find some use full information
**broken link removed**
you can find fair information regarding SVD
Monson H. Hayes
Statistical Digital Signal Processing and Modeling
i...
Re: Signals compression
1 . Singular value decomposition its very old and basic mathod (lossy)
2 . The JPEG standard for still imagery uses a discrete cosine transform (DCT) scheme with scalar quantization combined with lossless coding and achieves reasonable quality with 16:1 compression.
3...
double to uint8
double : - double precision floting point number rang -10^308 to +10^308
unit8 :- unsigned 8 bit intigers in the rang [0 255]
use im2uint8 , inbuilt function
eg.
U8 = im2uint8(D); % D is double image
Re: First step in DSP
Digital Signal Processing Using MATLAB , buy this book and instal matlab and practice with the examples it is one of the best thing to learn
https://www.amazon.com/Digital-Signal-Processing-Bookware-Companion/dp/0534371744
i think u can download it from our download...
rlsmls
The RLS (recursive least squares) algorithm is another algorithm for determining the coefficients of an adaptive filter. In contrast to the LMS algorithm, the RLS algorithm uses information from all past input samples (and not only from the current tap-input samples) to estimate the...
csharp self organizing maps
read this book you will get requires concepts
David M. Skapura: Building Neural Networks
Addison-Wesley Publishing Company
ISBN: 0-201-53921-7
and also read this book i think it is already there in upload section search for it if u cant find the link let me know...
you can use imhist function for details type help imhist it can be usefull for you other wise separate the all R, G, B and histogram for each
Example
I = imread('pout.tif');
imhist(I)
i am not clearly understand your quastion
i am giving some details from my class notes which may be usefull for you
Mainly two different methods, gradient and Laplacian. The gradient method detects the edges by looking for the maximum and minimum in the first derivative of the image. The...
Thanks for the suggestion and the adaptive signal processing industry level application course for active noise control and adaptive chanel eqalisation so on and sound and vibration analysis deals with the I-deas master software and actually the entaire course is designed for reaserch work and...
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