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About this blog
I feel this blog as a reflection of my thoughts to myself , and sometimes as a public diary, and the is my only friend to share my thoughts who says never a "oh no! ,you shouldn't....That is boring...."
Why we are told to use right hand only when to handover some objects
Coz, we forget the activities done through left hand , since the right part of the brain(for left hand activities) almost has no long-term memory neurons.
knowing ones's incapability sometimes turn our life simple
Thanks to Galois theorem of unsolvability of quintics thru radicals(square roots , cube roots...etc)
As for now, He saved 170 years of subtle mathematics research in finding a solution for quintics and higher.
Thus the other algorithms were reaped in place with fertile computational power.
As for now, He saved 170 years of subtle mathematics research in finding a solution for quintics and higher.
Thus the other algorithms were reaped in place with fertile computational power.
Mathematics for Life
It taught me to finish the easier things first.
---First solve the easier subcases of a problem then do check for possibility of similar attempts with a third eye(uncommon sense).
At least you will feel relaxed to find, you scored already a pass mark. All teh hardest problems in math are cracked in this way , but took centuries :)
---First solve the easier subcases of a problem then do check for possibility of similar attempts with a third eye(uncommon sense).
At least you will feel relaxed to find, you scored already a pass mark. All teh hardest problems in math are cracked in this way , but took centuries :)
పీత పొట్ట కష్టాలు
గత ఒక నెల నుంచి బరువు తగ్గటానికి తెగ ప్రయాసపడుతున్నా , కానీ నిజాయతీగా చెప్పాలంటే నా గుండు , నేనేమీ కష్టపడలేదు . ఏదో రెండు రోజులు గ్రౌండ్ చుట్టూ రెండు రౌండ్ లు వేసా అదీనూ వచ్చే పోయే వాళ్లకి సైట్ కొట్టుకుంటూ . ఇప్పుడు నా పొట్ట మంచి బాన ఆకృతిలో వుంది. ఇలాగే ఉంచితే ఖచితంగా ఏ 80kgs కి సునాయాసంగా వెళ్ళిపోతా. అప్పుడు మా హేమనాథం కూడా నాకు పోటీ వస్తాడు . అసలు 67-68 మధ్యలో ఉండేవాడిని ఒక సంవత్సరం క్రితం . హాల్-4 లో సాంబార్ revolution వచ్చినప్పటినుంచి నాకు pregnancy మొదలయింది .
ఇదంతా సరిపోక ఈ మధ్య మా అశ్విన్ గాడు mess chairman అవ్వటం తో వాడు అన్నీ మన ఇంట్లో చేసినట్టు చేస్తున్నాడు . ఇంకా నా పొట్ట తగ్గటం అటు పెట్టు , తిరుపతి హుండీలా ఓ తెగ పెరుగుతుంది .
ఈ పొట్ట తగ్గాలంటే ఎం చేయాలి ఎలా ఎలా How ?
ఇదంతా సరిపోక ఈ మధ్య మా అశ్విన్ గాడు mess chairman అవ్వటం తో వాడు అన్నీ మన ఇంట్లో చేసినట్టు చేస్తున్నాడు . ఇంకా నా పొట్ట తగ్గటం అటు పెట్టు , తిరుపతి హుండీలా ఓ తెగ పెరుగుతుంది .
ఈ పొట్ట తగ్గాలంటే ఎం చేయాలి ఎలా ఎలా How ?
a surprise paper in image comparison but ofcourse not in my direction of approach
Since a month at least , I am breaking my head over The problem of "finding a scale Invariant " for a family of scale parametric generated functions.
Today I saw the paper ASIFT_SIMS on affine Transformations over an image giving me a direction of guidance to steer it in to PDE way.
Today I saw the paper ASIFT_SIMS on affine Transformations over an image giving me a direction of guidance to steer it in to PDE way.
Easiest way to process /programme an image with it's pixel values as matrices in octave instead of matlab
1. install octave and octave-image in linux OS with the help of apt-get
2. start an editor to create a file with name with extension 'm' as
your_programme.m
3. use the function ugly_matrix=imread("ugly_image filename') to grab pixel values into a matrix.
4. Do your romance and makeup with those numbers and send them back to a new image file
using imwrite(sexy_matrix,"new_image_filename')
5.say bye
2. start an editor to create a file with name with extension 'm' as
your_programme.m
3. use the function ugly_matrix=imread("ugly_image filename') to grab pixel values into a matrix.
4. Do your romance and makeup with those numbers and send them back to a new image file
using imwrite(sexy_matrix,"new_image_filename')
5.say bye
cpp over java
Now I realise , how difficult is to programme a thing in c plus plus than in java for easier coding.
Everything in this World is discrete or Not completely continuous
What I found discrete are ,
time , distance representastion, light , matter/molecules what not??
But I am feeling strange about how an object moves?? continuous??
or moving with quantized jumps .(does this have a relation to planks quantum theory)
time , distance representastion, light , matter/molecules what not??
But I am feeling strange about how an object moves?? continuous??
or moving with quantized jumps .(does this have a relation to planks quantum theory)
Dreaming has become an addiction these days.
If you put aside How many times I tried to make my dreams make true , My way of dreaming for a cause is perfectly completing with a full script. But the sad thing is that I could not even remember what I had dreamt of.
Of all these , at least I am successful in dreaming :D
Of all these , at least I am successful in dreaming :D
why recorded or digitised music doesn't give you anatural feel.
The reason for this is mathematical,
Digitization means to divide the data into finite blocks(chunks) and then assigning each block an average(or constant) value so that entire data is represented in finite set of numbers only.
This causes some loss in information when when reconstructing it back.
So you are missing some sharpness kind of feel in your recorded music.
Spectral Decompostion: A much better method for quality is by using the Fourier transform to convert the recorded data into some magical numbers called amplitudes of different frequency waves. These can be computed indefinitely to the extent of required quality of your sound(signal).
i.e. more fourier numbers gives much better sharpness in sound.
P.S: It depends on the sound sensor capability of recording frequency range too.
Digitization means to divide the data into finite blocks(chunks) and then assigning each block an average(or constant) value so that entire data is represented in finite set of numbers only.
This causes some loss in information when when reconstructing it back.
So you are missing some sharpness kind of feel in your recorded music.
Spectral Decompostion: A much better method for quality is by using the Fourier transform to convert the recorded data into some magical numbers called amplitudes of different frequency waves. These can be computed indefinitely to the extent of required quality of your sound(signal).
i.e. more fourier numbers gives much better sharpness in sound.
P.S: It depends on the sound sensor capability of recording frequency range too.
why some people try to appear /talk different from common living
By being the change , they want to see it in others.
Yes , they want to say something to the public. Good or Bad is secondary.
Yes , they want to say something to the public. Good or Bad is secondary.
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